A method and apparatus for fast other sector interference (osi) adjustment

Related application

This application claims the interests of US Provisional Application No. 60 / 843,291 filed September 8, 2006, and US Patent Application No. 11 / 849,595 filed September 4, 2007. The entire application is incorporated herein by reference.

The present disclosure relates to wireless communication in general, and particularly to techniques for high-speed other sector interference and communication resource adjustment in wireless communication systems.

Wireless communication pervades almost every aspect of an individual's day-to-day work. To facilitate work / office activities as well as entertainment, wireless systems are widely deployed to provide various types of communication content such as voice, data, video and so on. These systems can be multiple access systems that can support communication for multiple terminals by sharing available system resources. Examples of such multiple access systems include code division multiple access (CDMA) systems, time division multiple access (TDMA) systems, frequency division multiple access (FDMA) systems and orthogonal frequency division multiple access (OFDMA) systems.

The wireless multiple access communication system can support communication for a plurality of wireless terminals at the same time. In such a system, terminals can communicate with one or more sectors by transmission over forward and reverse links, respectively. A forward link (that is, a downlink) is a communication link from a sector to a terminal. A reverse link (that is, an uplink) is a communication link from a terminal to a sector. These communication links can be opened by single-input single-output (SISO), multi-input single-output (MISO), and / or multi-input multi-output (MIMO) systems.

Multiple terminals can transmit simultaneously on the reverse link by multiplexing transmissions at right angles to each other in the time, frequency and / or code region. If sufficient orthogonality between transmissions is achieved, transmissions from each terminal will not interfere with transmissions from other terminals in the receiving sector. However, channel conditions, receiver imperfections, and other factors may not provide perfect orthogonality between transmissions from different terminals. As a result, the terminal causes some interference with other terminals communicating with the same sector. Further, transmissions from terminals communicating with different sectors are typically not at right angles to each other, which may cause interference with terminals communicating with neighboring sectors. This interference results in a decrease in the performance of each terminal in the system. Therefore, in this technical field, an effective technique for mitigating the influence of interference in a wireless communication system is required.

The following is a simplified summary to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview and is not intended to identify important or critical components or to delineate the scope of such embodiments. The purpose is to provide some concepts of the described embodiments in a simple manner as a prelude to a more detailed description, which will be given later.

In some embodiments, resource management in a wireless system is disclosed. The method is to receive an indicator of other sector interference (OSI); determine if the delta value associated with the communication resource should be adjusted according to the received OSI indicator, the determination being said OSI indicator. Including identifying the time frequency resource corresponding to; and adjusting the delta value associated with the communication resource.

In another aspect, the present specification discloses a wireless communication device. This device acquires a set of access points, receives an index of excess other sector interference (OSI) from the access points in the acquired set of access points, and sets the offset value associated with the communication resource according to the excess OSI index. It comprises an integrated circuit configured to adjust and hold the adjusted offset value; and a memory coupled to the integrated circuit for storing data.

In yet another aspect, a device that facilitates resource management in a wireless communication system is a means for setting up a set of non-serving access points (APs) to monitor other sector interference indicators; one in said monitoring set. Alternatively, it is provided with means for receiving another sector interference (OSI) index from a plurality of APs; and means for adjusting the offset value associated with the communication resource according to the received OSI index.

In yet another aspect, the computer-readable medium is a code that causes the computer to receive an indicator of excess other sector interference from a set of non-serving access points; the offset associated with the communication resources allocated by the access point to the computer. Code for adjusting the value; Provided is a code for causing the computer to inform the access point of the adjusted offset value in order to update the next resource allocation.

In some embodiments, the method of managing interference in a wireless system is to determine the interference level based on the interference metric; to generate an indicator of other sector interference (OSI) based on the determined interference level; and said OSI. Includes sending indicators.

In another embodiment, the device used for wireless communication is a means for determining a high-speed interference level based on an interference metric; a means for generating an index of high-speed cross-sectoral interference (OSI) according to the high-speed interference level; A means for transmitting the generated OSI index is provided.

In yet another aspect, the computer-readable medium is a code that allows the computer to measure the level of interference on the frame time scale and the superframe time scale (the time scale defined by the symbol numerology of the wireless system); It includes a code for calculating an effective interference level based on the interference level measurement; and a code for causing a computer to issue an excess other sector interference index according to the calculated effective interference level.

In yet another aspect, electrical equipment operating in a wireless communication environment measures interference levels in the frequency and time domains, the measurements being made on different time scales and using the results of the measurements in low speed and high speed regimes. It comprises an integrated circuit configured to calculate the effective interference level and broadcast an index of excess other sector interference; and a memory coupled to the integrated circuit to store the measured and calculated data.

Yet another aspect is a device that facilitates wireless communication, the system being configured to transmit resource allocations and receive adjustment offset values associated with the allocated resources. It comprises a circuit; and a memory coupled to the integrated circuit for storing the data, the data including an adjusted value of the offset associated with the communication resource.

In order to achieve the relevant objectives described above, one or more embodiments are fully described below and have the features specifically noted in the claims.

The following specification and accompanying drawings describe in detail an exemplary embodiment and show some different ways in which the principles of the embodiment can be adopted.

Considering the following detailed description with the drawings will reveal other advantages and new features. The disclosed embodiments are also intended to include all such embodiments and their equivalents.

<figref num="1">FIG. 1 shows a wireless multiple access communication system according to the various aspects described herein.</figref><figref num="2">Figure 2 shows a block diagram of an example system that facilitates interference and communication resource management .</figref><figref num="3">FIG. 3 is an example diagram of the interference metric value in the time domain over the super frame which is an example.</figref><figref num="4">FIG. 4 is an example diagram of the interference metric value in the frequency domain.</figref><figref num="5A">5A and 5B are example diagrams showing their response to offset values and indicators of excess other sector interference, according to certain aspects of the specification.</figref><figref num="5B">5A and 5B are example diagrams showing their response to offset values and indicators of excess other sector interference, according to certain aspects of the specification.</figref><figref num="6">FIG. 6 shows the time transition of the high-speed other sector interference offset value according to a certain aspect of the present specification.</figref><figref num="7">FIG. 7 shows a flow chart of an example of a method for generating indicators of other system interference in a wireless system.</figref><figref num="8">FIG. 8 shows a flow chart of an example of a method for managing interference and communication resources in a wireless system.</figref><figref num="9">FIG. 9 is a block diagram of an example of a multi-input multi-output (MIMO) transmitter and receiver that can utilize interference tuning.</figref><figref num="10">FIG. 10 is a block diagram of a multi-user MIMO configuration example.</figref><figref num="11">FIG. 11 is a block diagram of a system example that integrates interference and resource management in a wireless communication system.</figref><figref num="12">FIG. 12 is a block diagram of a system that integrates the management of reverse link resources and interference in a wireless communication system according to various aspects.</figref><figref num="13">FIG. 13 shows a block diagram of an example system that enables resource management in wireless communication according to a certain aspect of the present disclosure.</figref><figref num="14">FIG. 14 shows a block diagram of System Example 1300 that enables interference management in a wireless system in accordance with certain aspects of the present disclosure.</figref>

Various embodiments will be described with reference to the drawings. Here, reference numbers and the like are used to refer to the components and the like throughout. The following specification provides a number of specific details for illustration purposes to provide a general understanding of one or more embodiments. However, it will be clear that such embodiments can be implemented without these specific details. In other examples, well-known structures and devices are shown in the form of block diagrams to facilitate the description of one or more embodiments.

Moreover, the term "or" is intended to mean a comprehensive "or" rather than an exclusive "or". That is, unless otherwise specified or clear from the context, "x uses A or B" is intended to mean any of the natural inclusive permutations. That is, if x uses A, x uses B, or x uses both A and B, then "x uses A or B" is sufficient based on one of these examples. Will be done. In addition, the articles "a" and "an" as used in this application and attached claims are "one or more" unless otherwise specified or the context clearly indicates that the singular form is intended. Should be generally interpreted to mean.

As used herein, terms such as "component," "module," and "system" are computer-related entities, either hardware, firmware, hardware-to-software combinations, software, or running software. Is intended to point to. For example, components may be, but are not limited to, execution processes, processors, objects, executables, threads of execution, programs, and / or computers on the processor. As an example, both an application running on a computing device and the computing device can be components. One or more components can reside within a process and / or execution thread, and one component may be located on one computer and / or distributed across two or more computers. In addition, these components may be run from a variety of computer-readable media that store data structures. The component can be a local process and / or a remote process, eg, via a network such as one or more data packets (eg, data from a component that interacts with another component in a local system, a distributed system, the Internet). Communication may be performed according to a signal having (data from a component that interacts with another system) by means of the signal.

Further, various embodiments relating to the mobile device will be described here. Mobile devices are referred to as systems, subscriber units, subscriber stations, mobile stations, mobiles, remote stations, remote terminals, access terminals, user terminals, terminals, wireless communication devices, user agents, user devices or user devices (UEs). be able to. Mobile devices can be mobile phones, cordless phones, session setup protocol (SIP) phones, wireless local loop (WLL) stations, mobile information terminals (PDAs), handheld devices with wireless connectivity, computing devices or wireless modems. It may be another connected control arithmetic device. Here, various embodiments will be described in relation to the base station. Base stations can be used to communicate with mobile devices and can be referred to by access points, node B, evolved node B (eNodeB) or some other term.

With reference to the drawings here, FIG. 1 is a diagram of a wireless multiple access communication system 100 according to various aspects. In one example, the wireless multiple access communication system 100 includes a plurality of base stations 110 and a plurality of terminals 120. Further, one or more base stations 110 can communicate with one or more terminals 120. As a non-limiting example, base station 110 is an access point and may be node B and / or another matching network entity. Each base station 110 provides communication coverage to a particular geographic area 102a-c. Commonly used in the art and, as used herein, the term "cell" refers to base station 110 and / or its coverage area 102ac, which depends on the context in which the term is used.

To improve system capacity, the coverage area 102a, 102b or 102c corresponding to base station 110 can be divided into a plurality of smaller areas (eg, areas 104a, 104b and 104c). Each of the smaller areas 104a, 104b and 104c may be served by their respective base transceiver subsystem (BTS not shown). Generally used in the art and, as used herein, the term "sector" can be said to refer to BTS and / or its coverage area, depending on the context in which the term is used. In one example, sectors 104a, 104b and 104c within cells 102a, 102b or 102c can be formed by a group of antennas (not shown) at base station 110, and each group of antennas is a group of cells 102a, 102b or 102c. Responsible for communication with the terminal 120 in a part of. For example, base station 110 serving cell 102a has a first antenna group corresponding to sector 104a, a second antenna group corresponding to sector 104b, and a third antenna group corresponding to sector 104c. You may. On the other hand, it should be understood that the various aspects disclosed herein can be used in systems with sectorized and / or unsectored cells. Furthermore, it should be understood that any compatible wireless communication network, with any number of sectored and / or unsectored cells, is intended to be included in the appended claims. .. For simplicity, the term "base station" as used herein can refer to both a station serving a cell and a station serving a sector. Furthermore, here, a "serving" access point is one in which the terminal is sending RL traffic (data), and an "adjacent" (non-serving) access point is one in which the terminal can have FL traffic. , And / or have both FL and RL control transmissions, but R L Refers to those that do not have traffic. It should be understood that the FL sector in a disjointed link scenario, as used here, is an adjacent sector. The following description is broadly related to a system in which each terminal communicates with one serving access point for simplicity, but it should be understood that a terminal can communicate with any number of serving access points. ..

According to certain embodiments, the terminals 120 can be distributed throughout the system 100. Each terminal 120 can be fixed or mobile. As a non-limiting example, terminal 120 can be an access terminal (AT), mobile station, user equipment, subscriber station and / or another compatible network entity. Terminal 120 can be a wireless device, mobile phone, personal digital assistant (PDA), wireless modem, handheld device or another compatible device. Further, the terminal 120 can communicate with any number of base stations 110, or cannot communicate with base stations 110 at any given time.

In another example, system 100 has a centralized architecture by using system controller 130, which can be connected to one or more base stations 110 and can provide coordination and control to base stations 110. It can be used. According to an alternative embodiment, the system controller 130 can be a single network entity or a collection of network entities. In addition, system 100 can utilize a distributed architecture to allow base stations 110 to communicate with each other as needed. In one example, the system controller 130 can further accommodate one or more connections to multiple networks. These networks can provide information to and / or information from terminal 120 communicating with one or more base stations 110 in the Internet, other packet-based networks, and / or system 100. It may include a voice network. In another example, the system controller 130 may include or be connected to a scheduler capable of scheduling transmissions to and / or transmissions from terminal 120. Alternatively, the scheduler may reside in independent cells 102a-c, sectors 104a-c, or a combination thereof.

In one example, System 100 may utilize one or more multiple access schemes such as CDMA, TDMA, FDMA, OFDMA, single carrier FDMA (SC-FDMA) and / or other compatible multiple access schemes. it can. TDMA utilizes time division multiplexing (TDM), which makes transmissions to different terminals 120 orthogonal to each other by transmitting at different time intervals. FDMA utilizes frequency division multiplexing (FDM), which makes transmissions to different terminals 120 orthogonal to each other by transmitting on different frequency carriers. In one example, TDMA and FDMA systems also use different orthogonal codes (eg, Walsh codes) to make them orthogonal, even if transmissions to multiple terminals occur at the same time interval or frequency subcarrier. It is also possible to use code division multiple access (CDM). OFDMA uses Orthogonal Frequency Division Multiple Access (OFDM), and SC-FDMA uses Single Carrier Frequency Division Multiple Access (SC-FDM). OFDM and SC-FDM can divide the system bandwidth into multiple orthogonal subcarriers (eg, tones, bins, ...), each of which can be modulated with the data. Typically, the modulated symbols are sent in the frequency domain by OFDM and into the time domain by SC-FDM. Further, and / or instead, the system bandwidth can also be divided into one or more frequency carriers, each of which may contain one or more subcarriers. System 100 may also utilize a combination of multiple access schemes such as OFDMA and CDMA. Although the power control technique herein is broadly described with respect to the OFDMA system, it should be understood that the technique can be similarly applied to any wireless communication system.

In another example, base station 110 and terminal 120 in system 100 can communicate data by signaling using one or more data channels and one or more control channels. The data channels utilized by system 100 are assigned to active terminals 120 such that each data channel is used by only one terminal at any given time. Alternatively, the data channels can be assigned to multiple terminals 120 that can be superimposed or scheduled orthogonally on one data channel. In order to save system resources, the control channel used by the system 100 can also be shared among a plurality of terminals 120 by using, for example, code division multiplexing. In one example, a data channel that is orthogonally multiplexed only by frequency and time (eg, a data channel that is not multiplexed using CDM) addresses the loss in orthogonality due to channel conditions and receiver imperfections. It is less likely to be received than the control channel to be used.

According to certain embodiments, the system 100 can use, for example, scheduling centralized by one or more schedulers implemented in the system controller 130 and / or each base station 110. In systems that utilize centralized scheduling, the scheduler can rely on feedback from terminal 120 to make compliant scheduling decisions. In one example, this feedback is to allow the scheduler to estimate the supportable reverse link peak rate for the terminal 120 to which such feedback is received, and to allocate the bandwidth of the system accordingly. It may include the delta offset added to the OSI information for.

According to another aspect in system 100, reverse link interference and resource control can provide guaranteed minimum system stability and quality of service (QoS) parameters for the system. As an example, by decoding the error probability of a reverse link (RL) confirmation message, an error floor can be obtained for all forward link transmissions. By using strict interference control over the RL, System 100 can easily perform power-efficient transmission of control and QoS traffic and / or other traffic with strict error requirements.

FIG. 2 shows a block diagram of System Example 200 that facilitates interference and communication resource management. The access terminal (AT) 220 communicates with the serving access point (AP) 250, sends data and control code symbols to the AT 220 over forward link (FL) 265, and receives data and control via reverse link (RL) 235. can do. The serving AP250 can send resource allocations to terminal 220. Such resource allocation conveys information about communication resources such as power level and / or power spectral density, packet format, modulation, etc. so that the AT220 can be used to handle communication with the AP250. Resource allocations can be managed by scheduler 254, which can determine allocations based on feedback information received from AT220 on the RL235. Note that scheduler 254 can connect to processor 258 and memory 262, for example. The processor 258 can easily perform some or all of the functions of the scheduler 254, and the memory 262 can store, for example, records of scheduling allocations. In some embodiments, the scheduler 254 can receive an offset (Δ239) value on the RL235 in relation to the communication resource in order to adjust the resource level and reallocate the resource according to Δ239. Such reassignment can be used to mitigate the interference caused by non-serving APs such as AT220, AP280 on other sectors. Interference can be mitigated if the AP250 reallocates lower operational power to the AT220 in response to receiving a delta value. It should be noted here that "Δ", "offset" and "delta" can be used interchangeably and their meanings are intended to be substantially the same. The determination / adjustment of Δ will be examined below.

The access terminal 220 can obtain information from the non-service access point 280 on the forward link 295. Note that although a single non-serving AP is shown in System Example 200, the AT220 can obtain information from multiple non-serving APs. Such access points can be acquired at the time the serving AP250 is acquired and can form an active set with respect to the AT220 (the active set can be stored, for example, in memory 232). In addition, the AT220 can be refined according to predetermined thresholds related to interference on thermal noise (IoT) and received power of the pilot after acquiring such an active set. Information transmitted / broadcast by the non-serving AP280 (or another non-serving AP in the refined active set) can be monitored. In particular, the AT220 can monitor indicators of other sector interference (OSI). Note that APs outside the active set can also be monitored (see below). The mobile decision as to whether it is a monitored OSI indicator from a sector is based on the FL geometry of that sector (eg, the acquired pilot's filtered signal-to-interference and noise ratio (SINR)), along with a predetermined threshold. Can be based.

Indicators of excess OSI299 can be transmitted or broadcast over the physical channel of forward link 295. In some embodiments, in a third generation ultra-mobile broadband (3G UMB) system, the forward OSI channel (F-OSICH) carries an OSI indicator. Regardless of the system specifications, the requirement for such a channel can be a large coverage area, as the channel must be decoded at an access terminal that is not served by the transmitting sector (eg, sector 104a-c). I want you to understand. In particular, the channels that carry OSI indicators are acquired pilot channels (eg 3G). It has the same coverage as the forward channel quality index pilot channel (F-CQIPICH) and forward common pilot channel (F-CPICH) in UMB, and greatly penetrates adjacent sectors (for example, the second and third nearest neighbors). In addition, the physical channel with the OSI299 index needs to be able to be decoded without the need for additional information about its transmitting sector other than the pilot pseudo-noise code sequence. Such requirements (i) significantly increase the cost of physical control channels carrying OSI indicators (such as F-OSICH in 3G UMB) in terms of required power and time frequency resources, and (ii). Limit the rate at which OSI metrics can be sent over the channel (typically per superframe) (see below). Large channel coverage, such as F-OSICH, allows 3G UMB to transmit OSI indicators by sectors outside the acquired active set that are being monitored (eg, decrypted) by the access terminal.

The non-serving access point 280 can include an OSI-generated component 284 and can be connected to processor 288 and memory 292. Component 284 can generate long-term or short-term OSI299 indicators for transmission time intervals (eg frames, or subframes). Next, such an index will be described.

(i) Low speed OSI The long term corresponds to one or more superframes, that is, wireless communication frames. In some embodiments, in 3G UMB, the superframe wraps around 25 frames and spans approximately 24-28 ms depending on the time guard and periodic prefix. In another embodiment, 3G Long Term Evolution (3G) Wireless communication frames in LTE) systems span 10 milliseconds. The OSI 299 index generated by component 284 at such a time interval or longer time is referred to herein as "slow" OSI or regular OSI. It should be noted that the slow OSI corresponds to the mean index for the time interval examined (eg superframe) and effectively reflects the interference observed by the non-serving AP (eg 250) when the channel interference fluctuates slowly. In addition, slow OSI can be effective for sectors that exhibit a fix pattern for transmissions (eg, bandwidth (BW) allocation), and the buffer status does not change much between transmissions with some superframes. If the system is statistically adequately multiplexed, slow OSI can accurately represent the level of interference in a sector, for example a terminal that increases BW compensates for a radio that decreases BW, and the network Fully loaded.

(ii) High-speed OSI Short-term OSI299 indicators may be required in some scenarios where the communication system is not fully loaded and there are bursting users. In some embodiments, a single access terminal located near the boundary between two sectors suddenly initiates a new transmission after a significantly longer period of silence, and the current reverse link transmission in adjacent sectors. There can be scenarios that cause a significant amount of interference with. Using a physical forward link channel with a slow OSI299 indicator (eg F-OSICH in 3G UMB) is a number to reduce transmit power to such terminals in order to reduce interference to acceptable levels for adjacent sectors. It should be understood that a superframe time interval may be required. During such a long interval, the reverse link transmission may be exposed to severe interference in that sector, resulting in a large number of packet errors. Here, the OSI299 index resulting from the measurement of interference frame by frame or subframe is referred to as "fast" OSI.

It should be appreciated that the OSI generation component 284 can generate both slow and fast OSI indicators per subcarrier or per subband (eg, a set of subcarriers (Figure 4)). In such a scenario, the fast OSI is sufficiently granular (in time-frequency resources) to identify whether terminal A or B is causing the observed interference.

The effects of bursty terminals (eg access terminals 220) can be addressed / mitigated by taking advantage of the fact that the long-term channel quality of forward and reverse links is often highly correlated. Terminals that cause strong interference in non-serving sectors on the reverse link can probably observe strong signals (eg pilot signals) from non-serving sectors on the forward link (eg forward link 295) and have that sector in the active set. have. Therefore, each access point in a non-serving sector (eg, access point 280) can send a slow OSI metric with a lower overhead than the slow OSI metric channel through the forward link control channel in addition to sending the slow OSI metric. it can. To carry out such a transmission, the access terminal must have a transmission access point in its active set. In some embodiments, such channels are 3G. It can be embodied by the forward link high speed OSI channel (F-FOSICH) that can be transmitted by the UMB system. Since the fast OSI metric is intended for a virtually restricted group of access terminals (eg, those with APs sending in their active set), the coverage requirements to convey such information are the slow OSI metric. It should be understood that it does not have to be as much as the requirements of the channel with. In another embodiment, the previously mentioned F-FOSICH can be present in all FL physical layer frames (which reveal the roots of its name), so non-serving access points (eg, 280) are said to be Interference from bursty access terminals (eg 220) in adjacent sectors can be quickly addressed / mitigated before the terminal causes packet errors in the sector served by the access point.

Next, the functionality of the OSI generation component 284 will be described in more detail. To illustrate the features of the functionality, K example RL physical frames 310₁―310_KSee FIG. 3 which is an example of an interference metric for a sample superframe consisting of FIG. 300 and FIG. 4 which is an example of an interference metric in the frequency domain. It should be noted that such a frame spans a certain period of time specified by the specifications of the radio system in which the AP250 and AP280 and AT220 operate. In some embodiments, symbol numerology determines the time span. As an example, in 3G UMB, the frames span approximately 1 millisecond, with various numbers of periodic prefixes in one frame, and the superframe contains K = 25 frames (and preambles). To generate an OSI indicator, a non-serving access point (eg, non-serving AP 280) has a different time frequency resource (eg, frame 310).₁-310_K) A metric based on the amount of interference observed above can be used, and a function of such measured interference can be utilized. In addition, the threshold (or tolerance) interference metric value I_TH320 is used as a reference to give an indicator of excess interference. Some factors are I_THThese factors can typically be determined by the service provider's target peak data rate, target spectral efficiency, target latency, complexity, and base station / access point cost. I want to be understood. Similarly, interference can be determined by, for example, thermal noise in the system and systematic noise from other sources. Reference value I^(REF)It can be measured in dB with respect to 350.

In some embodiments, the following four procedures / methods for determining the interference level can be considered. (1) A typical metric may be the average interference of both slow and fast OSI. All frequency resources (eg subcarrier 410₁-410_M(Figure 4)) and some (recent) reverse link frames (eg 310)_J―310_K, J &lt;K) average &lt;I&gt;^(SLOW)330 is guided. Alternatively, all frequencies within a recent superframe, the average per frame, at a constant (eg 25 ms, or 3G UMB)<u style="single">Super frame</u>The mean value can be extracted by passing it to an infinite impulse response (IIR) filter. Figure 3 shows each frame 310₁-310_KInterference frequency average 340₁-340_KIs shown. Average interference &lt;I&gt;^(SLOW)330 is the threshold I_THIf it is 320 or greater, an indicator of excess OSI is provided by the OSI generation component 284. As mentioned above, by calculating the average, it is possible to capture slowly changing fluctuations in the wireless communication sector. In some embodiments, in a 3G UMB system, a non-serving access point (eg, 280) generates an OSI index based on the long-term average (filtered version) of average interference measured for all frequency resources. , The average interference can be controlled using the normal OSI channel (F-OSICH). For fast OSI (eg all or a subset of subcarriers 410)₁-410_M) Averaging the entire frequency resource such as subcarriers or subbands is a fast average interference value of 340.₁―340_KCan be brought. As shown in Figure 4, the high speed OSI can be determined for each subcarrier in the frequency domain, with a value of 420.₁-420_MIs a specific frame (Figure 4 is frame 310_JCorresponds to the interference metric value observed in). Each frame (eg frame 310_J) Is the average of all frequency resources (eg &lt;I&gt;) for fast OSI^(FAST)340_J), Interference value 420₁―420_MNote that can be assigned.

The processor (eg, processor 288) can calculate the average, as well as other calculations related to step (1). The result may be stored in memory (eg, memory 292). In addition, a processor (eg, processor 288) can easily measure interference levels in the time frequency domain. The data may be stored in memory (eg, memory 292).

(2) Interference measurement distribution (for example, value 340)₁-340_KIs frame 310₁-310_KA method consisting of monitoring high percentiles (eg tails) of the cumulative distribution function (CDF) of (representing the distribution above) is used by OSI generation component 284 for both slow and fast OSI. can do. The interference level extracted by such a method is referred to as tail interference here as described below. Monitoring tail values that are more susceptible to packet corruption and information loss if interference levels spike in a sector during transmission, typically avoiding repeat requests from receivers (eg hybrid auto-repeat requests (HARQs)). Is well suited to guarantee minimal performance and / or to maintain communication on the control channel. For slow OSI, the OSI generation component 284 is a superframe (eg 340)._J―340_KGenerates a frame-by-frame mean distribution and the corresponding CDF for the most recent frame in), with a tail interference value I corresponding to a particular percentile (eg 90%)._{TAIL (s)}Can be extracted, I_{TAIL (s)}Is I_THIssue an OSI index if it is 320 or higher. For fast OSI, value I_{TAIL (F)}Is the threshold (eg I^(TH)320) or higher, the OSI generation component 284 can issue an OSI index. Where I_{TAIL (F)}Is a set of frequency resources (eg value 420)₁-420_M) Corresponds to the specific interference value associated with the high percentile of the CDF of the interference level distribution. A processor (eg, processor 288) can calculate the average and can perform other calculations related to the procedure. The result can be stored in memory (eg memory 292). Further, the processor (eg, processor 288) can easily measure the interference level in the time frequency domain, and the measurement data can be stored in the memory (eg, memory 292).

(3) Or, in addition, OSI-generated component 284 can use a hybrid approach based on (1) and (2), with a threshold &lt;I&gt; for either slow or fast OSI._THAverage interference metric with, and threshold I^(TAIL)_THAttached tail interference metrics are implemented at the same time. Average interference level and tail interference level are &lt;I&gt; respectively_THAnd I^(TAIL)_THIf this is exceeded, OSI generation component 284 issues an excess OSI indicator that corresponds to either slow or fast OSI. It should be understood that these thresholds are set for slow or fast OSI, depending on the OSI index generated by OSI Component Generation 284. A processor (eg, processor 288) can calculate the average, as well as other calculations related to the procedure. Data and results may be stored in memory (eg, memory 292). In addition, the processor (eg, processor 288) can easily measure the interference level in the time frequency domain and the data can be stored in memory (eg, memory 292).

(4) OSI generation component 284 determines the effective interference metric and uses it to generate an indicator of excess OSI._THCan be contrasted with. Effective metrics may be used to take advantage of system diversity, for example, the metric adopts a large value for a particular resource (eg, a set of subcarriers) and another of the same metric for different resources (eg, another set of carriers). For example, if a small value is adopted, the calculation of the effective interference metric incorporates such diversity. It should be noted that while effective metrics such as the mean metric can smooth out such diversity fluctuations, there are other effective metrics that can improve extreme values in the diversity profile. Another effective metric is based on the concept of system capacity. In such cases, the various values of the interference metric calculated for a set of time frequency resources can be converted into capacity values. The calculated capacity values may be averaged and the effective interference metric may be extracted from the average. Capacity function when calculating the effective metric<u style="single">Other than</u>You may use the function of the interference level of. An example of such another function is the signal-to-interference ratio.

Similar to (1) and (2), the determination of the effective interference metric is a set of time frequency resources (eg, frame 310).₁-310_K, Subcarrier 410₁-410_M) Depends on the measured interference level above. The measurements are measurements on each time frequency resource (eg, a single frame (single carrier)), or a measurement that examines the average condition of a subset of time frequency resources such as tiles (eg, 16 subcarriers within a frame time span). It should be understood that it corresponds to. The interference level (I) function (f) is used to generate the effective metric. As mentioned above, such a function may be in capacity or signal-to-interference ratio. The function f is evaluated for each interference level at multiple measured interference levels, from which the average (A) is generated. When considering the mean as an effective metric (see above), note that the function f is identity, eg f (I) = I. Effective metric interference is the inverse function of f (I) with A as an argument value (eg f).^-1It is extracted by evaluating (A)). If all measurements are the same, for example I_NFHowever, if it corresponds to a scenario in which the interference level does not fluctuate when examining different time frequency resources, the effective interference metric is the above-mentioned I._NFIt should be understood that is consistent with.

The processor (eg, processor 288) can calculate the average, as well as other calculations related to the procedure, such as capacity calculation and deriving of effective values. Data and results may be stored in memory (eg, memory 292). In addition, the processor (eg, processor 288) can easily measure the interference level in the time frequency domain. The data may be stored in memory (eg, memory 292).

The effective metric approach is shown when the signal-to-noise (SNR) ratio is adopted as the interference metric. For example, if multiple resources (eg, subcarriers, modulation and coding schemes, access point and access node ... transmit and receive antennas) are available for communication, the OSI generation component 284 will generate multiple values of SNR. Can be calculated. Therefore, there are multiple options to define the effective SNR and generate the effective interference metric: (a) average signal-to-noise ratio, (b) ratio of average signal-to-noise &lt;I&gt; to signal-to-noise ratio (&lt;S&gt;), (c) An effective signal-to-noise ratio calculated by some concept about capacity (eg, Shannon's capacity for single-input single-output (SISO) systems, Telatar Foschini capacity in multi-input multi-output systems (MIMO)) is available. The implementation of the program in (c) obtains the calculated value of each SNR, converts each value into capacity units, calculates the average of the calculated capacities, and generates the effective SNR by the inverse capacity function. Become. OSI-generated component 284 can perform later acts. Option (c) has the advantage of diversity by capturing the SNR value, which is sensitive to communication resources on average, and the insensitive SNR value, which is independent of the resource. Alternatively, if the access point (eg AP280) can measure an interference (I) value without access to the corresponding signal value (S) value (eg received on the reverse link or in memory 292). Nominal S (read from storage like)_NOMYou can set the value. Also, by measuring interference on different resources, the SNR value can be defined and the effective SNR value can be calculated. Conversely, if you can access the S value without accessing the I value, then the nominal I_NOMThe value can be determined (eg, received on a reverse link or read from storage such as memory 292). The effective SNR value is generated by measuring S, defining the SNR value using the nominal I value, and transforming it into capacity. OSI generation component 284 can perform later acts related to effective SNR generation.

It should be recognized that virtually any metric can be used to calculate the effective threshold. Interference metrics can be associated with other performance metrics such as signal-to-interference ratio, signal-to-interference and noise ratio. Such performance metrics also derive the value of interference that can be utilized by the OSI generation component 284 to determine if the issuance of excess OSI is guaranteed. It should be understood that each approach / procedure (1)-(4) may be more suitable for a particular concept. An approach that relies on determining the average interference metric (1) is for the access terminal (eg access terminal 220) to receive prior knowledge of allocation details (eg bandwidth (modulation scheme)) or an unpredictable overall resource allocation. May be suitable for your system. In such cases, as mentioned above, the mean value addresses possible variations in allocation and can therefore be an appropriate choice. Approaches (2) and (3) that monitor the tail of the measured interference level distribution can be appropriate to maintain the integrity of the control channel communication. A valid interference approach (4) may be more suitable, for example, for large-scale resource allocation in which some subcarriers are assigned to access terminals (eg access terminal 220). In such a scenario, the mobile station can possibly observe several achievements of the channel condition with different resources, and therefore benefit from a valid determination of the interference level.

As described above in connection with FIG. 2, the access terminal 220 can receive an index of excess other sector interference on the forward link 295. In addition, the access terminal (eg 220) is (long-range or large coverage,) from a set of multiple non-serving access points in the active set acquired by the terminal, or APs outside such an acquired active set. This means that OSI indicators can be received via FL channels (see above) such as F-OSICH within 3G UMB. Moreover, as discussed in connection with Figures 3 and 4, such indicators can correspond to either slow OSI or fast OSI. Next, the interaction of such heterogeneous indicators and their relationship to interference and resource management will be examined using Figure 5, which is suitable for the purpose of explanation. Figures 5A and 5B are diagrams 500 and 550 showing the offset values (Δs) and their response to the OSI index 503, respectively.

When the serving access point (eg AP250) communicates the initial resource allocation for traffic channel transmission to the access terminal (eg AT220) on the forward link (eg FL265), the reference level of the allocated resource (eg Figure 5A and) R in 5B_REF506) can be saved on the terminal. A memory (eg, memory 232) can store such a reference value in a storage device. Such reference levels may be adjusted in terms of offset Δ in response to low speed OSI and high speed OSI, which allows management of terminal resource allocation. The terminal (eg AT220) can determine that if the OSI index 503 is caused by interference generated by the terminal's own transmission, the terminal can also be determined by the access point (eg AP280). It is understood that it is possible to determine to respond to any OSI indicator 503 that is broadcast, even if such indicator corresponds to a time frequency resource that is not used by the terminal. In addition, such decisions can include identifying time-frequency resources that correspond to OSI indicators. Offset adjustment can be used at the access point to take advantage of favorable channel conditions such as high CQI or available antennas. Therefore, the terminal can also use the CQI and other available resources to determine if the offset value should be adjusted according to the OSI index 503. Δ515 can be measured in dB. In some embodiments, the delta-generating component 224 determines the magnitude of the offset value. Note that if the managed communication resource is power (ie, power spectral density), the level of interference given to the non-serving sectors by the access terminal can be mitigated. In particular, the access terminal (eg terminal 220) has a reference level (eg R)._REFBy adding an offset value Δ515 that fits 506), its transmit power or power spectral density associated with the traffic channel (eg in 3G UMB, reverse data channel (R-DCH)) can be calculated.

In some embodiments, the access terminal (eg, AT220) may store only one delta value. It is tuned based on both the slow (ie regular) OSI index 512 and the fast OSI index 509. FIG. 5A illustrates such a scenario where the offset Δ515 is incremented by the value dΔ518 to offset Δ'521. Or even more, the access terminal (eg AT220) has one slow OSI Δ value (Δ in Figure 5B)._STwo or more delta values, including (indicated by 553), can be stored and are usually OSI indicators (eg &lt;I&gt;).^(SLOW)Can be adjusted based on 512) and also one or more fast OSI offset values (Δ in Figure 5B)_{F (1)}-Δ_{F (P)}Can hold fast OSI indicators (eg &lt;I&gt;)^(FAST)It can be adjusted based on 509). In Figure 5B, the slow and fast adjusted offset values are Δ', respectively._S559 and Δ'_{F (1)}-Δ'_{F (P)}、562₁-562_PIndicated by. In that case, multiple offset values are used to adjust the resource allocation, and the adjusted value of the resource is &lt;I&gt;.^(SLOW)And &lt;I&gt;^(FAST)Note that the decision is based on both. They are determined according to at least one of the approaches (1)-(4) discussed above. Terminal has multiple fast OSIΔ values (eg value 556)₁-556_PAnd 562₁―562_P), Each Δ_{F (J)}Should be recognized as corresponding to different reverse link interlaces, frames, assignments, etc. Moreover, such diversity of fast OSI offset values can easily preserve resource levels (eg, interlace) at their current values in those time intervals, and no significant changes on the interference metric are detected. It should be noted that such diversity can be further extended by storing the offset value per subcarrier (see Figure 4).

Before going into the description of algorithms suitable for offset adjustment, fast OSI Δ adjustment (eg value Δ) for normal delta-based resource management (eg power control operation and interference mitigation)_{F (1)}-Δ_{F (P)}) Interferes with the access terminal (eg AT220) in the range of fast offset values for slow OSI Δ values (eg Δ)._S) Keep in mind the above restrictions. Intra-sector interference, resource management (eg, power control algorithms) incorporates requirements for the dynamic range of the received signal, adopted by offsets, when the code distortion caused by transmission on the physical channel results in loss of orthogonality. The minimum that can be (Δ_MINThat is, 524 in Figures 5A and 5B) and the maximum (Δ)_MAXThat is, the 527) value in FIGS. 5A and 5B can be limited. Such minimum and maximum offset values can be adjusted based on information about the interference level broadcast from the serving sector of the access terminal (eg 250).

With respect to determining whether an offset adjustment, such as an adjustment (increasing, decreasing, or maintaining an offset value) should be performed, and / or the magnitude of the adjustment (eg dΔ518), the access terminal (eg AT220) Two approaches can be used. It is (i) a stochastic approach and (ii) a deterministic approach. Either approach, each offset value stored at the access terminal (eg Δ)_S553(556_P) And Δ_{F (1)}-Δ_{F (P)}556₁) Can be used. In case (i), for simplicity (but not as a limitation), a single offset is preserved (Figure 5A), and slow and fast OSI indicators (eg &lt;I&gt;).^(SLOW)512 and &lt;I&gt;^(FAST)Upon receiving 509), the access terminal adjusts the offset value by the Δ generation component 224 (eg, probability distribution P = P (Δ, &lt;I&gt;).^(SLOW), &lt;I&gt;^(FAST), RCQI) can be used to determine the magnitude and sign of dΔ518). Where rCQI = CQI^(NSS)/ CQI^(SS)For example, it indicates the intensity (measured by the Channel Quality Index (CQI)) of a channel in a non-serving sector (NNS), which is another sector in which the terminal causes interference compared to the serving sector (SS) of the terminal. The size and sign of the issued dΔ518 is Δ_MIN524 and Δ_MAXOffset adjusted within the boundaries imposed by 527, ie Δ'_SIt is a state where 559 exists. Alternatively, the magnitude of dΔ518 can be deductively specified. The probability distribution P is also used to set whether adjustments should be performed. Within such a stochastic approach, it should be understood that the access terminal's response to the excess OSI indicator can be to maintain (eg, not diminish) available communication resources. This feature makes the probabilistic approach (i) suitable for fully loaded systems, where the slow OSI index fluctuates around the quasiequilibrium value. It outputs the probabilistic response of some radio devices to the OSI index average, and adjusts the communication resources to bring about a total reduction of interference. A processor (eg, processor 228) can include a probability distribution and can issue probabilistic values commensurate with the offset adjustment. Offset and OSI index values can be stored in memory (eg, memory 232) for record maintenance and analysis of system behavior.

In the case of the deterministic approach (ii), the access terminal (eg 220) sets the magnitude of a particular individual (step) value dΔ518 for the up or down offset adjustment w = w (&lt; I&gt;^(SLOW), &lt;I&gt;^(FAST), RCQI) can be used. It should be recognized that such values can be determined by a processor (eg, processor 228) at the access terminal. As in approach (i), offset and OSI index values can be stored in memory (eg, memory 232 or 262) for record retention and analysis of system behavior.

The delta-generating component 224 can use the deterministic approach (i) to adjust the offset between slow and fast OSI, but the probabilistic approach (ii) may be avoided for fast OSI offset adjustment. Keep in mind. In some embodiments, when fast OSI indicators are received, it may be desirable to deterministically adjust communication resources to reduce interference within adjacent sectors. In bursty situations, stochastic adjustment of resource levels can lead to increased interference provided by bursty access terminals. An access terminal (eg, AT220) that receives the excess OSI index can use substantially the same set of parameters for both slow OSI and fast OSI Δ adjustments and utilize substantially the same algorithm. Or even more, the access terminal has a different Δ value (Δ_S553, Δ_{F (1)}-Δ_{F (P)}556₁-556_P) Can be used with different algorithms and / or different sets of parameters. As an example, for delta adjustment parameters that need to be different at low speed and high speed, the step width (eg dΔ518) goes up and down and the decision threshold (eg I)._TH320) is also different.

In another embodiment, the Δ generation component 224 can use the value of the slow OSI offset as an upper bound to the fast OSI offset. It is used to generate adjustments to stored offsets at access terminals (eg AT220) that receive indicators of excess OSI. In yet another embodiment, the access terminal can use the fast OSI index to adjust the offset value. However, as mentioned above, the serving access point (eg AP250) has a slow OSIΔ because the fast OSI offset value is generated only when the burst terminal is present in the system and is not held by the access terminal until then. Algorithms can be implemented to drive fast OSIΔ values towards the value. Note that long-term storage of fast OSI values in the absence of bursty transmissions can adversely affect the determination of long OSI offsets. This is shown in Diagram 600 of FIG. Time τ_UHigh-speed OSI Δ value generated in_{F (U)}610 is at time τ, for example by serving access point 250_L1Generated slow OSI offset Δ_{S (L-1)}Driven towards the upper bound value given by 620 (dashed 615). Time τ_LNow, the new low-speed OSI offset Δ_{S (L)}625 is generated by, for example, the Δ generation component 224, and Δ_{F (U)}Is driven again towards the newly determined slow offset (dashed 630). The serving access point has a fast offset Δ until a new burst transmission occurs in the system and a new fast OSIΔ value is generated._{F (U)}You can keep driving the 610.

Once the offset adjustment is performed by the delta generation component 224, the access terminal will see the latest offset (eg, delta '521 in Figure 5A and delta' in Figure 5B)._S559, Δ'_{F (1)}-Δ'_{F (P)}562₁-562_P) Is passed on to its serving access point (eg AP250) as the suggested value for the next resource allocation.

In view of the system examples shown and described above, the methods that may be implemented according to the disclosed subject matter are better evaluated with respect to the flowcharts of FIGS. 7 and 8. For the sake of simplicity, the method is shown as a series of blocks, but the claimed subject matter is not limited in number or order of blocks, with some blocks as well as others depicted and described here. Will be understood and understood that may occur in different orders and / or at the same time. Moreover, not all illustrated blocks are required to implement the methods described below. It is recognized that block-related functionality may be implemented by software, hardware, combinations thereof or any other compatible means (eg, equipment, systems, processes, components, ...). It should also be understood below that the methods disclosed throughout this specification can be stored on the product for easy transport and transfer of such methods to various devices. One of ordinary skill in the art understands and recognizes that an alternative method may be represented as an event, such as in a series of interrelated states or state transition diagrams.

FIG. 7 shows a flowchart of Example 700 of a method for generating OSI indicators that may be needed to manage resources and interference in a wireless system. In Act 710, the interference level is determined based on the interference metric. The selected metric can be a performance metric such as signal-to-interference ratio. The determination of the interference level based on the selected interference metric can include the measurement of the interference level on various time frequency resources. In some embodiments, fast short-term calculations as well as slow long-term decisions can be processed. Interference levels can be determined for specific frames (Figure 3) and interlaces, as well as for specific time domain resources such as subcarriers in the frequency domain (Figure 4). Such a decision may be related to fast calculations. As an example, the non-serving access point 280 can handle such interference level determinations using an OSI-generated component (eg, component 284) attached to a processor (eg, processor 288). The processor can easily measure interference levels and calculate effective interference metrics such as average and system capacity-based interference levels. In Act 720, OSI indicators are generated based on the determined interference level. In some embodiments, the generation of the OSI indicator may include comparing the determined effective interference level with a threshold interference level (FIGS. 3 and 4) that can be set by the service provider of the wireless communication system. OSI indicators are transmitted at Act 730. In an aspect, a non-serving access point (eg AP280) conveys an OSI index to an access terminal (eg AT220) on a dedicated forward link (eg FL 295) physical channel. Such channels can be embodied in high speed OSI control channels.

FIG. 8 shows a flowchart of Example 800 of a method for managing communication resources in a wireless system. In Act 810, the index of other sector interference (OSI) is received. In some embodiments, such OSI indicators are received from a non-serving access point in the active set of access terminals. The OSI metric can include one or more superframes (Figure 3) and correspond to the metric determined for a long period of time, or the metric is determined for a single frame (Figure 3) and is short-term. It can correspond to the index. At 820, it is determined whether the offset value associated with the communication resource should be adjusted according to the OSI index. This determination is based on the magnitude of interference excess with respect to interference thresholds, channel quality indicators or cell traffic loads. In another aspect, the communication resource can correspond to transmit power or power spectral density (PSD). Alternatively, the communication resource corresponds to a modulation scheme, bandwidth, number of subcarriers, periodic prefix duration, and the like. On the 830, the offset associated with the communication resource is adjusted. If the communication resource is power or PSD, other sector interference on the reverse link of the transmitting access terminal (Figure 2) should be mitigated by lowering the power level used by the access terminal (eg AT220) to communicate. Can be done. In yet another embodiment, the adjustment of Δvalue may be performed using a stochastic or deterministic algorithm. The access terminal (eg, access terminal 220) can use substantially the same algorithm to adjust the slow OSI index and the offset associated with the fast OSI index.

FIG. 9 shows a transmitter system 910 (such as base station 140) in a multi-input multi-output (MIMO) system that provides cell / sector communication in a wireless communication environment according to one or more aspects described herein. And block diagram 900 of an embodiment of a receiver system 950 (eg, access terminal 220). In transmitter system 910, traffic data for some data streams can be provided by (TX) data transmitter 912 to transmit data processor 914. In an embodiment, the data stream is transmitted on each transmitting antenna. The TX data processor 914 formats, encodes, and interleaves the traffic data for each data stream based on the particular coding scheme chosen for that data stream to provide the coded data. The coded data of each data stream may be multiplexed into pilot data using OFDM technology. Pilot data is a known data pattern that is typically processed in a known manner and can be used in the receiver system to estimate the channel response. For each data stream, the multiple pilot and coded data is then selected for that data stream to provide modulation symbols, such as a particular modulation scheme (eg, quadrature keying modulation (BPSK)), quadrature shift keying (eg, quadrature keying). QPSK), modulated based on multiple phase shift keying (M-PSK) or m-quadrature keying (M-QAM)) (eg mapped symbols). For each data stream, the data rate, encoding and modulation may be determined by instructions executed by processor 930, which data and instructions may be stored in memory 932. Moreover, according to some aspect of this innovation, the transmitter can switch modulation schemes that depend on the delta value calculated according to the indicator of excess OSI.

Modulation symbols are then provided to the TX MIMO processor 920 for all data streams. It may further process modulated symbols (eg OFDM). Then the TX MIMO processor 920 was 922_TBy N_TTransceiver (TMTR / RCVR) 922_ATo N_TProvides a modulated symbol stream. In one embodiment, the TX MIMO processor 920 applies beamforming weight (or precoding) to the symbols of the data stream and the antenna to which the symbols are transmitted. Each transceiver 922 receives and processes each symbol stream to provide one or more analog signals, and then trims the analog signals (eg, amplifies, filters, and converts them with an upconverter). It provides a modulated signal suitable for transmission over MIMO channels. Then transceiver 922_AFrom 922_TUp to N_TThe modulated signal is N_TAntenna 924₁From 924_TSent by each. In receiver system 950, the transmitted modulated signal is 952_RFrom N_RAntenna 952₁Received by. Also, the received signal from each antenna 952 is 954._RBy each transceiver (RCVR / TMTR) 954_AProvided to. Each transceiver 954₁-954_RArranges (eg, filters, amplifies, downconverts) each received signal, digitizes it to provide a sample, and further processes the sample to provide a "received" symbol stream.

The RX data processor 960 was then based on a particular receiver processing technology._RTransceiver 954₁-954_RFrom N_RReceives and processes the received symbol stream N_TSupply a "detected" symbol stream. The RX data processor 960 then demodulates, deinterleaves, and decodes each detected symbol stream to recover the traffic data for the data stream. Processing by RX data processor 960 is TX of transmitter system 910 It is complementary to that executed by MIMO processor 920 and TX data processor 914. Processor 970 periodically determines which precoding matrix to use, which matrix can be stored in memory 972. Processor 970 creates a reverse link message that includes a matrix index portion and a rank value portion. Memory 972 may store instructions that are executed by processor 970 to create reverse link messages. The reverse link message may contain various types of information about the communication link or the received data stream, or a combination thereof. As an example, such information can include tuned communication resources for decoding the data packet format, offsets and information for tuned scheduled resources. The reverse link message is then processed by the TX data processor 938, which receives traffic data for multiple data streams from the data transmitter 936, modulated by the modulator 980, and transceiver 954._RFrom 954_AAnd sent back to the transmitter system 910.

In transmitter system 910, the modulated signal from receiver system 950 is antenna 924.₁-924_TReceived by transceiver 922_A-922_TArranged by, demodulated by demodulator 940, and processed by RX data processor 942 to extract reserve link messages sent by receiver system 950. The processor 930 then determines which precoding matrix to use for determining the beamforming weights and processes the extracted message.

As shown in FIG. 9 according to the steps described above, single-user MIMO mode corresponds to the case where a single receiver system 950 communicates with the transmitter system 910. In such a system, N_TTransmitter 924₁-924_T(Also known as TX antenna) and N_RReceiver 952₁-952_R(Also known as the RX antenna) constitutes a matrix channel of radio communication (eg, a Rayleigh channel, or a Gaussian channel). SU-MIMO channel is any complex N_R× N_TExplained by the matrix. Channel rank is N_R× N_TEqual to the algebraic rank of the channel. In geo-air or spatial frequency coding, rank is equal to the number of data streams (ie, layers) sent with respect to the channel. Rank is at most min {N_T, N_RIt should be understood that it is equal to. N_TSend and N_RThe MIMO channel configured by the receiving antenna is N_VIt may be decomposed into independent channels. It is called a spatial channel. Where N_V min {N_T(NR}. N_VEach of the independent channels corresponds to one dimension.

In some embodiments, the symbol transmitted or received by the tone ω OFDM can be modeled by the following equation.<maths num="1"><img id="000002" he="18" wi="129" file="JP5356232B2_D0001.tif" img-format="tif" img-content="drawing" /></maths>

(1) Where y (ω) is the received data stream and N_RIt is a × 1 vector. H (ω) is the channel response N of the tone ω (for example, the Fourier transform of the time-dependent channel response matrix h)._R× N_TIt is a matrix. c (ω) is N_T× 1 Output symbol vector. Also, n (ω) is N_R× 1 Noise vector (eg additional white Gaussian noise). Pre-coding is N_V× 1 Layer vector N_T× 1 Can be converted to a pre-coded output vector. N_VIs the real number of the data stream (layer) transmitted by transmitter 910, N_VCan be scheduled at the discretion of the transmitter (eg, access point 250) based on channel conditions and at least a portion of the ranks reported by the terminal. It should be recognized that c (ω) is the result of at least one multiplexing scheme, and at least one pre-coding (or beamforming) scheme applied by the transmitter. Furthermore, c (ω) is convoluted in the power gain matrix. It is the amount of transmitter 910 to send each data stream N_VDetermine the power to allocate. It should be recognized that such a power gain matrix can be a resource allocated to the access terminal 220. It can also be managed as described here through offset adjustment. It is understood that transmission from the MIMO receiver 950 can also be modeled according to equation (1), which includes substantially the same components, taking into account the FL / RL reciprocity of the radio channel. Should be. In addition, the receiver 950 can further apply a precoding scheme before transmitting the data in the reverse link.

In System 900 (Figure 9), N_T= N_RWhen = 1, the system is transformed into a single input single output (SISO) system capable of providing sector communication in a wireless communication environment according to one or more aspects described herein.

Figure 10 shows three AT220s_P、220_UAnd 220_SShows an exemplary multi-user MIMO system 1000 that communicates with the access point 250. Access point is N_TTX antenna 924₁-924_Thave. Also, each AT has multiple RX antennas. That is, AT_PIs N_PAntenna 952₁-952_PHave an AP_UIs N_UAntenna 952₁-952_UHave an AP_SIs N_SAntenna 952₁-952_Shave. Communication between the terminal and the access point is uplink 1015_P、1015_UAnd 1015_SAchieved by. Similarly, downlink 1010_P、1010_UAnd 1010_SThen, access point 250 and terminal AT_P, AT_U, And AT_SYou can easily communicate with each other. Moreover, communication between each terminal and the base station is performed by substantially the same components in substantially the same way, as shown in FIG. 9 and its corresponding detailed description. User equipment 220 because the terminal can be located in substantially different locations within the cell serviced by the access point 250._P、220_UAnd 220_SEach has its own matrix channel h, along with its own rank_αAnd response matrix H_αHas (α = P, U and S). Intracell interference may be exhibited due to multiple users within the cell serviced by base station 250. Although shown in Figure 10 with three terminals, it should be understood that a MU-MIMO system can contain any number of terminals (shown with index k below). Access terminal 220_P、220_UAnd 220_SEach of them can respond to indicators of excess other sector interference, each considering one or more coordinated communication resources, offsets for adjusting scheduled resources, and OSI indicators for AT250. It can convey information for decrypting the conforming data packet format used for transmission. As mentioned above, the AT250 is a terminal 220_P、220_UAnd 220_SFor each of these, resources can be rescheduled according to each other's resource allocations and independently.

In some embodiments, the symbol transmitted or received by the OFDM of user k, tone ω can be modeled by the following equation.<maths num="2"><img id="000003" he="21" wi="111" file="JP5356232B2_D0001.tif" img-format="tif" img-content="drawing" /></maths>

Here, the symbols have the same meaning as in the case of equation (1). It should be recognized that with multi-user diversity, the interference of other users in the signal received by user k is modeled by the second term in the left side of equation (2). The prime code (') is the transmitted symbol vector c_kIs excluded from the total. The set of terms is the user k of the symbol sent by the transmitter (eg access point 250) to another user in the cell (its channel response H)._kRepresents reception by).

FIG. 11 is a block diagram of a system 1100 that integrates the management of reverse link communication resources and interference levels in a wireless communication system according to the various aspects described herein. In one example, system 1100 includes access terminal 1102. As shown, access terminal 1102 can receive signals from one or more access points 1104 and transmit them to one or more access points 1104 by antenna 1108. In addition, access terminal 1102 includes receiver 1110 or substantially other electrical equipment and obtains information from antenna 1108. In one example, the receiver 1110 may be operably connected to a demodulator (Demod) 1112 that demodulates the received information. The demodulated symbols can be analyzed by processor 1114. Processor 1114 can be connected to memory 1116, which can store data and / or program code related to access terminal 1102. In addition, access terminal 1102 can use processor 1114 to perform methods 700, 800 and / or other compatible methods, or can use substantially other electrical equipment. Access terminal 1102 can further include a modulator 1118 capable of multiplexing signals for transmission by transmitter 1120 by antennas 1108 to one or more access points 1104.

FIG. 12 is a block diagram of a system 1200 that integrates reverse link communication resources and interference management in a wireless communication system according to the various aspects described herein. In one example, system 1200 includes a base station or access point 1202. As shown, access point 1202 may receive signals from one or more access terminals 1204 by receiving (Rx) antenna 1206 and transmit signals to one or more access terminals 1204 by transmitting (Tx) antenna 1208. it can.

In addition, access point 1202 can include receiver 1210, which obtains information from receiving antenna 1206. In one example, the receiver 1210 is associated with the demodulator (Demod 1212) or substantially other electrical equipment to be operational and demodulates the received information. The demodulated symbols can then be analyzed by processor 1214. Processor 1214 is connected to memory 1216 and can store information related to code clusters, access terminal allocations, associated lookup tables, unique scrambling sequences and / or other matching types of information. Access point 1202 may further include modulator 1218 capable of multiplexing signals for transmission by transmitter 1220 by transmitting antenna 1208 to one or more access terminals 1204.

Next, a system that can make the disclosed subject aspects feasible will be described in connection with FIGS. 13 and 14. Such systems can include functional blocks that represent the functionality implemented by a processor or electronic machine, software, or a combination thereof (eg, firmware).

FIG. 13 shows a block diagram of System Example 1300 that enables resource management in a wireless communication system in accordance with certain aspects of the present disclosure. System 1300 can be present at least partially within a wireless terminal (eg, access terminal 220). System 1300 includes a logical grouping 1310 of interlocking electronic components. In some embodiments, the logical grouping 1310 is an electronic component 1315 for establishing a non-serving access point (AP) set for monitoring other sector interference indicators, OSI indicators from one or more APs in the monitoring set. It includes an electronic component 1325 for receiving and an electronic component 1335 for adjusting the offset value associated with the communication resource according to the received OSI index.

System 1300 may include instructions for performing functions associated with electrical components 1315 and 1325, as well as memory 1340 for storing measurement and computational data that may be generated during the performance of such functions. Although shown as being outside memory 1340, please understand that one or more electronic components 1315, 1325 and 1335 may reside within memory 1340.

FIG. 14 is a block diagram of a system example that enables interference management in a wireless communication system by generating and issuing an index of excess other sector interference according to a determined interference level. System 1400 can be at least partially present within a base station (eg, access point 280). System 1400 includes a logical grouping 1410 of interlocking electronic components. In some embodiments, the logical grouping 1410 includes electronic components 1415 and 1425 for determining the fast interference level based on the interference metric and the slow interference level based on the effective interference metric, respectively. In addition, the logical grouping 1410 includes component 1435 for generating high-speed cross-sectoral interference (OSI) indicators according to high-speed interference levels, and component 1445 for generating low-speed cross-sectoral interference (OSI) indicators according to slow interference levels. .. An electronic component 1455 for transmitting the generated OSI index may be included in the logical grouping 1410.

In addition, System Example 1400 further provides instructions for performing the associated functions associated with the electronic components 1415, 1425, 1435, 1445 and 1455, as well as measurement and computational data that may be generated during the execution of such functions. It can contain memory 1460 to store. Although shown as being outside memory 1460, please understand that one or more electronic components 1415, 1425, 1435, 1445 and 1455 may be in memory 1460.

It is understood that the embodiments described herein are implemented by hardware, software, firmware, middleware, microcode or any combination thereof. If the system and / or method is implemented in software, firmware, middleware or microcode (program code or instruction segments), they can be stored on a machine-readable medium such as a storage component. An instruction segment can represent a procedure, function, subprogram, program, routine, subroutine, module, software package, class, or any combination of instruction, data structure, and program statement. An instruction segment can be linked to another instruction segment or hardware circuit by passing and / or receiving information, ie data, arguments, parameters, or memory content. Information, arguments, parameters, data, etc. may be passed, forwarded, or transmitted using any suitable means, including memory sharing, message passing, token passing, network transmission, and the like.

For software implementation, the techniques described herein can be implemented in modules (eg, procedures, functions, etc.) that perform the functions described herein. The software code is stored in storage and can be executed by the processor. The storage device may be mounted inside the processor or may be outside the processor. In that case, it may be communicably coupled to the processor by various means known in the art.

The term "processor" used herein refers to a computer or quantum computer of classical architecture. The classic architecture is a single-core processor, a single processor with software multi-thread execution capability, a multi-core processor, a multi-core processor with software multi-thread execution capability, a multi-core processor with hardware multi-thread technology, a parallel platform, and distributed. Includes, but is not limited to, parallel platforms with shared memory. Further, the processor may refer to an integrated circuit, an application specific integrated circuit (ASIC), a programmable logic controller (PLC), a complex programmable logic device (CPLD), or a field programmable gate array (FPGA). Quantum computer architectures may be based on qubits, nuclear magnetic resonance platforms, superconducting Josephson junctions, etc. embodied in gates or self-organized Quantum dots. To optimize space utilization and improve the performance of user equipment, the processor may utilize nanoscale architectures such as transistors, switches, and gates based on molecules and quantum dots.

Further, as used herein, the term "memory" refers to, but is not limited to, data storage, algorithm storage, and image storage, digital music and video storage, and information storage such as charts and databases. It will be appreciated that the memory components described herein may be either volatile or non-volatile memory and may include both volatile and non-volatile memory. By way of example, but not by limitation, the non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), EPROM (EPROM), EEROM (EEPROM) or flash memory. Volatile memory includes random access memory (RAM) and acts as an external cache memory. As an example, but not a limitation, RAM is Synchronous RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDR SDRAM), Enhanced SDRAM (ESDRAM), Synchlink. Various formats are available, such as DRAM (SLDRAM) and Direct RambusRAM (DRRAM). Further, the memory components and / or methods of the systems of the present disclosure are intended to include, but are not limited to, these and any other compatible types of memory.

Further, as used in this disclosure, the term "electrical equipment" refers to an entity of electronic communication that serves a particular purpose, and examples of such purpose are (but not limited to) the transmission and reception of digital signals. , Sending and receiving radio frequency electromagnetic radiation, processing digital signals (eg multiplexing / demultiplexing, modulation, dividing / connecting digital bits), as described above, which can be part of the electrical equipment or external to the electrical equipment. Performing logic by a processor, storing information in the above-mentioned memory that may be part of the electrical equipment or external to the electrical equipment, communicating with a computer on a network or standalone, an act specific to the electrical equipment. Includes execution of code that causes the execution of.

The matters described above include examples of one or more embodiments. Of course, not all possible combinations of components or methodologies cannot be described for the purposes of explaining the aforementioned embodiments. However, one of ordinary skill in the art can recognize that many additional combinations and substitutions of various embodiments are possible. Accordingly, the described embodiments are intended to include all modifications, modifications and modifications contained within the spirit and scope of the appended claims. Further, as long as the term "include" is used in either the detailed description or the claim, the term is used as a transition term in the claim and the term "comprising" is interpreted. As with "equiping", it is intended to be inclusive. The inventions described in the original claims of the present application are described below. [1] Receiving indicators of other sector interference (OSI); Determining whether the delta value associated with the communication resource should be adjusted according to the received OSI index, the determination involves identifying the time frequency resource corresponding to the OSI index; and A method of resource management in a wireless system that includes adjusting the delta value associated with the communication resource. [2] The adjustment of the delta value should increase, decrease, or maintain the delta value based on the received OSI index, the current delta value, and the probability distribution depending on the channel intensity metric. The method of [1] above, which involves randomly deciding whether or not to do so. [3] The adjustment of the delta value involves adopting a deterministic algorithm, in which the received OSI index, the current delta value, and the weighting function depending on the channel intensity metric determine the delta value according to a particular discrete value. The method of [1] above to increase or decrease. [4] The method of [1] above, which further comprises retaining the adjusted delta value. [5] The method of [1] above, which further comprises calculating one or more delta values that serve as boundaries for the adjusted delta values. [6] The method of the above [1] for receiving the OSI index for each superframe of the forward link. [7] The method of the above [1] for receiving the OSI index by decoding the interlace. [8] The method of the above [1] for receiving the OSI index for each frame of the forward link. [9] Reception of the OSI index includes receiving the value of the interference metric averaged over a set selected from a group consisting of one set of subframes, one set of frames, and one set of subcarriers [9] 1] method. [10] Acquires a set of access points, receives an index of excess other sector interference (OSI) from the access points in the acquired set of access points, and adjusts the offset value associated with the communication resource according to the excess OSI index. And an integrated circuit configured to hold the adjusted offset value; A wireless communication device including a memory coupled to the integrated circuit for storing data. [11] The wireless communication device according to the above [10], wherein the integrated circuit is further configured to receive resource allocation from a serving access point. [12] The wireless communication device according to the above [11], wherein the integrated circuit is further configured to transmit the adjusted offset value to a serving access point. [13] The wireless communication device of the above [10], wherein the integrated circuit is further configured to use a probabilistic algorithm to adjust the offset value. [14] The wireless communication device of the above [10], wherein the integrated circuit uses a deterministic algorithm to adjust the offset value and is further configured to derive a set of parameters defining the algorithm from the memory. [15] The stored data includes the calculated values of valid interference, average interference, interference corresponding to a particular percentile of the interference level distribution, or any combination thereof [10]. Wireless communication device. [16] Means for configuring a set of non-serving access points (APs) to monitor other sector interference indicators; Means for receiving other sector interference (OSI) indicators from one or more APs in the monitoring set; and A device that facilitates resource management in a wireless communication system, comprising means for adjusting an offset value associated with a communication resource according to the received OSI index. [17] The device of the above [16], wherein the OSI index corresponds to high-speed other sector interference and the interference metric is determined on the sub-superframe time scale. [18] The device of [17] above, wherein the sub-superframe time scale corresponds to one selected from a group consisting of one or more frames and one or more symbols. [19] Code for the computer to receive indicators of excess other sector interference from a set of non-serving access points; Code to force the computer to adjust the offset value associated with the communication resource allocated by the access point; A computer-readable medium comprising a code for causing a computer to convey the adjusted offset value to an access point to update the next resource allocation. [20] Determining the interference level based on the interference metric; Generate an indicator of other sector interference (OSI) based on the determined interference level; A method of managing interference in a wireless system, including transmitting the OSI index. [21] The determination of the interference level includes averaging the interference metrics in one or more sets of at least one set selected from a group consisting of one set of superframes and one set of frames [21]. 20] method. [22] The method of [20] above, wherein determining the interference level involves averaging the interference metrics in one or more frames on a set of subcarriers. [23] The method of [20] above, wherein determining the interference level involves measuring the interference level in a subband and averaging the interference levels up to one set of interlaces. [24] The method of [20] above, wherein determining the interference level involves generating a time distribution of mean measured interference up to a set of frequency resources, and monitoring the tail values of that distribution. [25] The method of [20] above, wherein the interference metric is selected from the group consisting of signal-to-noise ratio, signal-to-interference ratio, signal-to-interference and noise ratio and capacity. [26] The method of [20] above, which involves calculating the effective performance metric, to determine the interference level. [27] Effective interference metrics are selected from a group consisting of the mean signal-to-noise ratio, the mean signal for time-frequency resources, the mean interference of time-frequency resources and their ratios; and the effective signal-to-noise ratio extracted from capacity measurements. The method of [26] above, which comprises at least one metric. [28] The effective interference metric is the following act or: Measuring multiple levels of interference on a set of time frequency resources; Evaluate the function (f) of interference level (I) for each interference level in multiple measured interference levels and generate the average (A) of the evaluation results; Evaluate the inverse function of f (I) with A as the argument value, and the value f^-1The method of [26] above, as determined by the execution of assigning (A) to effective metric interference. [29] Multiple interference level measurements on a set of time frequency resources were selected from a group consisting of interference level measurements for each member of the set and average interference level measurements for a subset of the set. The method of [28] above, including those. [30] The method of [28] above, where the interference level function is one of the capacity function or the signal-to-interference ratio. [31] The method of [28] above, further comprising receiving a nominal value or extracting the nominal value from a measurement or data storage device. [32] The method of [20] above, further comprising receiving at least one of the reference interference value and the performance metric value of the threshold. [33] The method of [20] above, wherein determining the interference level comprises measuring the interference level on a subband. [34] The method of [21] above, which comprises comparing the mean value of the performance metric with the reference value for the generation of the OSI index. [35] The method of [24] above, wherein the generation of the OSI index comprises comparing the tail value with the threshold interference value. [36] Twenty-six methods of generating OSI indicators, including comparing effective performance metrics with thresholds. [37] The method of [20] above for the OSI index transmitted on a dedicated control channel within the forward link. [38] Means for determining fast interference levels based on interference metrics; Means for generating high-speed cross-sectoral interference (OSI) indicators according to the high-speed interference level; A device used for wireless communication provided with means for transmitting the generated OSI index. [39] Means for determining slow interference levels based on effective interference metrics; and The device according to [38] above, further comprising means for generating an index of low speed other sector interference according to the low speed interference level. [40] Code for having a computer measure the level of interference on the frame time scale and the superframe time scale (the time scale defined by the symbol numerology of the wireless system); Code for letting the computer calculate the effective interference level based on the interference level measurement; A computer-readable medium comprising a code for causing a computer to issue an excess other sector interference index according to the calculated effective interference level. [41] The code to let the computer calculate the effective interference level is the code to let the computer calculate; the frequency and time set by the resource, the average from the group of resource sets to the selected set, capacity. The computer-readable medium of [37] above, comprising extracting an effective interference level from a city measurement. [42] Interference levels are measured in the frequency and time domains, the measurements are made on different time scales, effective interference levels are calculated using the results of the measurements in low speed and high speed regimes, and indicators of excess other sector interference. Integrated circuit configured to broadcast; and An electrical device that operates in a wireless communication environment and includes a memory coupled to the integrated circuit that stores measured and calculated data. [43] The electrical equipment according to [40] above, wherein the separated time scale is selected from a group consisting of a high speed time scale and a low speed time scale, and is designated by the numerology of the wireless communication environment. [44] The integrated circuit is further configured to calculate an effective interference level based on capacity measurements and to cause an excess OSI index if the effective interference level exceeds a threshold. Electrical equipment. [45] The integrated circuit is further configured to calculate the average of the interference levels measured on a time-frequency resource and cause an excess OSI index if the average exceeds the threshold [40]. ] Electrical equipment. [46] The integrated circuit further monitors the tail of the interface level distribution measured in the time domain and raises an excess OSI indicator if the tail value reaches or exceeds a threshold. The configured electrical equipment of [40] above. [47] A device that facilitates wireless communication. An integrated circuit configured to send a resource allocation and receive the adjustment offset value associated with the allocated resource. A memory coupled to the integrated circuit for storing data, the data containing adjusted values of offsets associated with communication resources. [48] The device of [46] above, wherein the integrated circuit is configured to transmit an algorithm to adjust the offset value associated with the allocated resource.