Motion-based kinetic fingerprint radio selection

CROSS-REFERENCE TO RELATED APPLICATIONS

0001This application is related to U.S. Ser. No. 12/624,643. “MOBILITY-BASED RESELECTION SCAN SCHEDULING” filed Nov. 24, 2009, which is hereby incorporated by reference in its entirety.

TECHNICAL FIELD

0002The present application relates generally to wireless communications networks, and more particularly, to motion adaptive user equipment (UE) in a wireless communications network environment for selecting a radio technology of the UE and/or scheduling reselection scanning performed by the UE.

BACKGROUND

0003In wireless communications networks, modern wireless communication devices, e.g., user equipment (UE), support more frequency bands and technologies than ever before. In order to benefit from this available network bandwidth and capacity, each device must be aware of what is available while camping and/or before voice or data calls or other communication transactions are made. In complex multi-technology and frequency band scenarios, associated UE may scan, for example, several different technologies across multiple different frequency bands, which can be beneficial. Moreover, lacking proactive information about available networks, smart network selection techniques can be slowed or be less functional.

0004According to traditional network scanning techniques, devices periodically scan various frequency bands and technologies. A preferred frequency and radio technology can then be selected and camped on by a device. Such scanning typically requires receiver and battery resources while the UE is otherwise idle. If scanning is too frequent, battery standby time can be reduced. On the other hand, if scanning is too infrequent, the UE can lack an appropriate level of awareness of the surrounding networks and can thus make inappropriate selection decisions. Either result is generally undesirable.

0005The above-described deficiencies of today's wireless communications technologies are merely intended to provide an overview of some of the problems of conventional systems, and are not intended to be exhaustive. Other problems with conventional systems and corresponding benefits of the various non-limiting embodiments described herein may become further apparent upon review of the following description.

SUMMARY

0006The following presents a simplified summary of the disclosed subject matter in order to provide a basic understanding of some aspects of the disclosed subject matter. This summary is not an extensive overview of the subject disclosure. It is intended to neither identify key or critical elements of the subject disclosure nor delineate the scope of the disclosed subject matter. Its sole purpose is to present some concepts of the disclosed subject matter in a simplified form as a prelude to the more detailed description that is presented later.

0007One or more embodiments of the disclosed subject matter analyze user equipment (UE) transit data. In a non-limiting aspect of the disclosed subject matter, UE transit data can be analyzed to determine radio selection information. Radio selection information can be related to preferential enablement or preferential disablement of one or more UE radios or radio technologies of the UE. For example, this can allow a wireless radio, e.g., an IEEE 802.xx radio (WiFi), etc., to be turned off and a Bluetooth radio to be turned on based on the movement of the host UE.

0008In another non-limiting aspect, UE transit data can be analyzed to aid in the defining reselection scanning schedules by providing reselection interval information related to preferential rescanning intervals. This can supplement or replace reselection scanning schedules generated by other means. This can be beneficial where, for example, the granularity of other methods may not be sufficient to provide relevant interval scheduling.

0009In a further non-limiting aspect, kinetic power generators can be employed as a source of UE transit data. Where a kinetic generator typically generates power when moved, the generator output can be closely correlated to motion. As such, UEs having kinetic generators can employ the output of a kinetic generator as a source of UE transit data. This can be beneficial where the kinetic generator also provides power to the UE because radio selection and/or reselection scanning schema can be accomplished with little to no negative effect on UE resources, e.g., battery life.

0010Aspects, features, or advantages of the various embodiments of the subject disclosure can be exploited in wireless telecommunication devices, systems or networks. Non-limiting examples of such devices or networks include Femto-cell technology, Wi-Fi, e.g., various 802.xx technologies, etc., Worldwide Interoperability for Microwave Access (WiMAX); Enhanced General Packet Radio Service (Enhanced GPRS); Third Generation Partnership Project (3GPP) Long Term Evolution (LTE); 3GPP Universal Mobile Telecommunications System (UMTS); Third Generation Partnership Project 2 (3GPP2) Ultra Mobile Broadband (UMB); High Speed Packet Access (HSPA); High Speed Downlink Packet Access (HSDPA); High Speed Uplink Packet Access (HSUPA); GSM Enhanced Data Rate for GSM Evolution (EDGE) Radio Access Network (RAN) or GERAN; UMTS Terrestrial Radio Access Network (UTRAN); LTE Advanced, femtocell(s), microcell(s), Bluetooth, etc. Additionally, aspects of the disclosed subject matter can include legacy telecommunication technologies.

0011To the accomplishment of the foregoing and related ends, the disclosed subject matter, then, comprises the features hereinafter fully described. The following description and the annexed drawings set forth in detail certain illustrative aspects of the disclosed subject matter. However, these aspects are indicative of but a few of the various ways in which the principles of the disclosed subject matter may be employed. Other aspects, advantages and novel features of the disclosed subject matter will become apparent from the following detailed description of the disclosed subject matter when considered in conjunction with the drawings.

BRIEF DESCRIPTION OF DRAWINGS

0012<figref idref="DRAWINGS">FIG. 1</figref> is a block diagram illustrating a system that can facilitate motion adaptive user equipment selection of at least a radio technology or a reselection interval in accordance with aspects of the disclosed subject matter.

0013<figref idref="DRAWINGS">FIG. 2</figref> is a block diagram of a system employing a kinetic fingerprint to select at least a radio technology or a reselection interval in accordance with aspects of the disclosed subject matter.

0014<figref idref="DRAWINGS">FIG. 2</figref><i>b </i>is a block diagram of a system employing a kinetic fingerprint to select at least a radio technology or a reselection interval in accordance with aspects of the disclosed subject matter.

0015<figref idref="DRAWINGS">FIG. 3</figref> is a block diagram of a system for motion adaptive user equipment employing a kinetic sensor in accordance with aspects described herein.

0016<figref idref="DRAWINGS">FIG. 4</figref> is a block diagram of a system for motion adaptive user equipment employing a kinetic generator in accordance with aspects described herein.

0017<figref idref="DRAWINGS">FIG. 5</figref> is a block diagram of a system for motion adaptive user equipment employing frequency analysis technology in accordance with aspects described herein.

0018<figref idref="DRAWINGS">FIG. 6</figref> is a block diagram of a system for motion adaptive user equipment employing learning technology in accordance with aspects described herein.

0019<figref idref="DRAWINGS">FIG. 7</figref> is an exemplary flowchart of procedures defining a method for determining at least a preferential radio technology parameter or reselection interval parameter in accordance with aspects described herein.

0020<figref idref="DRAWINGS">FIG. 8</figref> is an exemplary flowchart of procedures defining a method for determining at least a preferential radio technology parameter or reselection interval parameter in accordance with aspects described herein.

0021<figref idref="DRAWINGS">FIG. 9</figref> is an exemplary flowchart of procedures defining a method for determining at least a preferential radio technology parameter or reselection interval parameter in accordance with aspects described herein.

0022<figref idref="DRAWINGS">FIG. 10</figref> illustrates an exemplary wireless communications environment with associated components that can enable operation of an enterprise network in accordance with aspects of the disclosed subject matter.

0023<figref idref="DRAWINGS">FIG. 11</figref> illustrates a schematic deployment of a macro cell for wireless coverage in accordance with aspects of the subject specification.

0024<figref idref="DRAWINGS">FIG. 12</figref> illustrates a block diagram of a computer operable to execute a portion of the disclosed architecture.

DETAILED DESCRIPTION

0025The disclosed subject matter is now described with reference to the drawings, wherein like reference numerals are used to refer to like elements throughout. In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the disclosed subject matter. It may be evident, however, that the disclosed subject matter may be practiced without these specific details. In other instances, well-known structures and devices are shown in block diagram form in order to facilitate describing the disclosed subject matter.

0026As used in this application, the terms “component,” “system,” “platform,” “layer,” “selector,” “interface,” and the like are intended to refer to a computer-related entity or an entity related to an operational apparatus with one or more specific functionalities, wherein the entity can be either hardware, a combination of hardware and software, software, or software in execution. As an example, a component may be, but is not limited to being, a process running on a processor, a processor, an object, an executable, a thread of execution, a program, and/or a computer. By way of illustration, both an application running on a server and the server can be a component. One or more components may reside within a process and/or thread of execution and a component may be localized on one computer and/or distributed between two or more computers. Also, these components can execute from various computer readable media having various data structures stored thereon. The components may communicate via local and/or remote processes such as in accordance with a signal having one or more data packets, e.g., data from one component interacting with another component in a local system, distributed system, and/or across a network such as the Internet with other systems via the signal. As another example, a component can be an apparatus with specific functionality provided by mechanical parts operated by electric or electronic circuitry, which is operated by a software or firmware application executed by a processor, wherein the processor can be internal or external to the apparatus and executes at least a part of the software or firmware application. As yet another example, a component can be an apparatus that provides specific functionality through electronic components without mechanical parts, the electronic components can include a processor therein to execute software or firmware that confers at least in part the functionality of the electronic components.

0027Moreover, the word “exemplary” is used herein to mean serving as an example, instance, or illustration. Any aspect or design described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other aspects or designs. Rather, use of the word exemplary is intended to present concepts in a concrete fashion.

0028In addition, the term “or” is intended to mean an inclusive “or” rather than an exclusive “or.” That is, unless specified otherwise, or clear from context, “X employs A or B” is intended to mean any of the natural inclusive permutations. That is, if X employs A; X employs B; or X employs both A and B, then “X employs A or B” is satisfied under any of the foregoing instances. Moreover, articles “a” and “an” as used in the subject specification and annexed drawings should generally be construed to mean “one or more” unless specified otherwise or clear from context to be directed to a singular form.

0029Moreover, terms like “user equipment (UE),” “mobile station,” “mobile,” subscriber station,” “subscriber equipment,” “access terminal,” “terminal,” “handset,” and similar terminology, refer to a wireless device utilized by a subscriber or user of a wireless communication service to receive or convey data, control, voice, video, sound, gaming, or substantially any data-stream or signaling-stream. The foregoing terms are utilized interchangeably in the subject specification and related drawings. Likewise, the terms “access point (AP),” “base station,” “Node B,” “evolved Node B (eNode B),” “home Node B (HNB),” “home access point (HAP),” and the like, are utilized interchangeably in the subject application, and refer to a wireless network component or appliance that serves and receives data, control, voice, video, sound, gaming, or substantially any data-stream or signaling-stream from a set of subscriber stations. Data and signaling streams can be packetized or frame-based flows.

0030Furthermore, the terms “user,” “subscriber,” “customer,” “consumer,” “prosumer,” “agent,” and the like are employed interchangeably throughout the subject specification, unless context warrants particular distinction(s) among the terms. It should be appreciated that such terms can refer to human entities or automated components supported through artificial intelligence, e.g., a capacity to make inference based on complex mathematical formalisms, which can provide simulated vision, sound recognition and so forth.

0031As used herein, the terms “infer” or “inference” generally refer to the process of reasoning about or inferring states of the system, environment, and/or user from a set of observations as captured via events and/or data. Inference can be employed to identify a specific context or action, or can generate a probability distribution over states, for example. The inference can be probabilistic—that is, the computation of a probability distribution over states of interest based on a consideration of data and events. Inference can also refer to techniques employed for composing higher-level events from a set of events and/or data. Such inference results in the construction of new events or actions from a set of observed events and/or stored event data, whether or not the events are correlated in close temporal proximity, and whether the events and data come from one or several event and data sources.

0032<figref idref="DRAWINGS">FIG. 1</figref> is a block diagram illustrating a system <b>100</b> that can facilitate motion adaptive user equipment (UE) selection of at least a radio technology or a reselection interval in accordance with aspects of the disclosed subject matter. As disclosed in related application (U.S. Ser. No. 12/624,643), incorporated herein in the entirety by reference, an architecture can determine a scanning schedule for reselection scanning in connection with a wireless communication network or service, e.g., by tracking UE movement between nodeB locations in a given time interval. These measurements can be employed to calculate a reselection scanning schedule based in part on the UE speed (or lack thereof) through wireless communication network resources. In accordance therewith, the foregoing architecture can include a mobility component that can determine a current mobility pattern for UE, e.g., a change in location for the UE or a speed or velocity for the UE. The mobility pattern can be constructed based upon an examination of a history of cell IDs selected by the UE during recent reselection scans, which can indicate or be representative of UE movement as well as the pattern of movement. In addition, the foregoing architecture can include an assignment component that can determine a reselection scanning schedule for the UE based upon the mobility pattern. In an aspect this can facilitate extended battery life due to fewer reselection scans performed by the UE where said scans are more likely to be redundant, e.g., where there is little or no mobility of the UE.

0033System <b>100</b> illustrates a related system that can employ UE transit data to facilitate selection of reselection interval (which can be considered in determining a reselection scanning schedule as disclosed in related application (U.S. Ser. No. 12/624,643) as disclosed supra) as well as for selecting an radio technology. It is becoming more common for UEs to include multiple radios and/or radio technologies, e.g., radios for CDMA, TDMA, WiFi, Bluetooth, etc., which can be independently controlled to effect communication or data transfer with between the UE and various elements of one or more wireless communications networks. As a non-limiting example, a smartphone can have both a WiFi radio and a cellular radio such that the WiFi radio can be used exclusive of the cellular radio (or vice versa) to effect communications, e.g., email can be accessed over either the cellular or WiFi radios. As each specific radio and/or radio technology may perform better (or worse) than a competing technology for a given set of conditions, selection of the radio/radio technology can afford an improved user experience. For example, where a user is relatively stationary in their office, WiFi can be preferential to a cellular radio, e.g., greater bandwidth, more available resources, lower power consumption, etc., while, in contrast, when a user is moving rapidly down a freeway, e.g., in a bus or taxi, a cellular connection can be preferential, e.g., rapid transitions across a plurality of WiFi resources is generally resource intensive as compared to the longer period of residence afforded by a nodeB.

0034Whereas system <b>100</b> facilitates the selection of radios/radio technologies, an improved user experience can be achieved. System <b>100</b> can include transit analysis component (TAC) <b>110</b> to analyze UE transit data to facilitate selection of a radio (or radio technology) and/or a reselection interval. For example, where a user is moving rapidly in a train, TAC <b>110</b> can determine that the user is moving rapidly and that there is a frequency component to the movement that is associated with train travel, e.g., there is a frequency to the movement of the UE that can come from the train crossing track welds, acceleration/deceleration of a train from/into a station, swaying of a train car during transit, etc. Where train travel is a possibility, TAC <b>110</b> can, for example, indicate that an initial scan for a train-car-WiFi connection be made and, where no WiFi is detected, can indicate that the WiFi radio should be powered down to conserve battery life. Further, in the example, TAC <b>110</b> can also indicate that the cellular radio remain on subject to a reselection scanning schedule appropriate for train speed movement (or in conjunction with the subject matter for determining a reselection scan as disclosed in related application (U.S. Ser. No. 12/624,643)).

0035TAC <b>110</b> can analyze UE transit data to form a kinetic fingerprint that can be applied in radio selection models to aid in the selection of preferential radios or radio technologies. Further, this kinetic fingerprint can contribute to improved determination of reselection scanning schedules. A kinetic fingerprint can be based on data related to the transit of UEs. As such, a kinetic fingerprint can be based on a wide variety of motion data sources, for example, GPS data, accelerometers, and of course speed calculations between nodeBs for given time intervals. However, each of these data sources generally is associated with further taxing of UE resources. For example, a GPS generally is considered to consume a significant amount of UE power that can rapidly discharge modern UE battery technologies. As such, using GPS can be undesirable. Further, for example, GPS can function poorly inside structures and thus make it undesirable for use in computing radio technology selection and reselection scanning intervals. In an aspect, TAC <b>110</b> can be communicatively coupled to a kinetic generator (not illustrated) to provide UE transit data. Further, a kinetic generator can provide UE transit data with minimal depletion of UE resources, e.g., with little or no net battery drain from UE transit data acquisition.

0036<figref idref="DRAWINGS">FIG. 2</figref> is a block diagram of a system <b>200</b> employing a kinetic fingerprint to select at least a radio technology or a reselection interval in accordance with aspects of the disclosed subject matter. System <b>200</b> can include TAC <b>210</b>. TAC <b>210</b> can be the same as, or similar to, TAC <b>110</b>. TAC <b>210</b> can access UE transit data as disclosed herein above. TAC <b>210</b> can include kinetic fingerprint component <b>220</b>. Kinetic fingerprint component <b>230</b> can be employed to determine close matches (or perfect matches) between known (or inferred) UE kinetic patterns and accessed UE transit patterns. Kinetic fingerprint matches can be any UE transit pattern criterion (criteria) that transitions a predetermined criterion (criteria) associated with one or more predetermined UE kinetic patterns. As a non-limiting example, where a UE kinetic pattern for a UE kinetic generator is predetermined to have a regular sinusoidal pattern of power generation with a frequency between 0.5 and 2 Hz, a match can be identified when the UE transit data indicates a 1.2 Hz regular sinusoidal power generation pattern. In contrast for the example, a match can be proscribed where the UE transit pattern is 1.2 Hz but an irregular sinusoidal power generation pattern. The irregular sinusoidal nature can indicate another type of motion, e.g., foot tapping or leg bouncing while seated, etc. One of skill in the art will appreciate that kinetic fingerprints can be inclusive or exclusive of a wide number of characteristics and that all permutations thereof are considered to be within the scope of the present disclosure. For example, a kinetic fingerprint can consider a data source, e.g., model, type, brand, date of manufacture, aging or environmental characteristics, etc., a data type, e.g., voltage, current, temporal, numeric, ratio, instant, historic, etc., a data acquisition window, data acquisition environment, historic data, user preferences user defined data, date reference frame(s), multiple data sources, etc.

0037TAC <b>210</b> can include radio selection modeling component <b>230</b>. Radio selection modeling component <b>230</b> can model preferred radio selections for one or more kinetic fingerprints. As such, given a kinetic fingerprint (or a default fingerprint) radio selection modeling component <b>230</b> can aid in designating one or more preferred radio (or radio technology) schema. As a non-limiting example, where a kinetic fingerprint match for sitting at an office desk is indicated, radio selection modeling component <b>230</b> can indicate that a WiFi radio should be on with a reselection scan every 5 minutes and a cellular radio should be on with a reselection scan every 60 minutes. As a second non-limiting example, where a kinetic fingerprint match to bus travel is indicated, radio selection modeling component <b>230</b> can indicate that a WiFi radio should be turned off (presuming the bus does not have a mobile WiFi system) and that a WAN radio should be turned on with reselection scanning every minute. Numerous other examples can readily be appreciated but are omitted for brevity.

0038In an aspect, the models employed in radio selection modeling component <b>230</b> can be of varying levels of complexity. As a non-limiting example, a model for a stationary UE can indicate a first combination of radios. As a second non-limiting example, a model for a stationary UE, at a particular time of day, in a particular carrier network, can indicate a second combination of radios. In another aspect, the models can be hierarchical. As a non-limiting example, radio selection models can be selected initially for low or high-speed movement, then for a secondary speed indicator, then for a power consumption of radios, then for performance of radios, them for carrier, then for cost, etc.

0039System <b>200</b> can further include radio selection component (RSC) <b>240</b>. RSC <b>240</b> can facilitate selection of preferred radios or radio technologies as disclosed herein. RSC <b>240</b> can access a radio selection indicator, e.g., from TAC <b>210</b>, and can correspondingly attempt to select the indicated radio(s). For example, where a WiFi radio is indicated as preferential by TAC <b>210</b>, RSC <b>240</b> can attempt to select the WiFi radio of the UE. Where the selection is not achieved, e.g., a user has manually turned off the WiFi radio, etc., TAC <b>210</b> can be signaled (not illustrated for clarity) and an alternate preferential radio can be selected accordingly.

0040System <b>200</b> can similarly include reselection interval component (RIC) <b>250</b>. RIC <b>250</b> can facilitate indication of a reselection interval. A reselection interval can be employed in generating a reselection scanning schedule as disclosed in related application (U.S. Ser. No. 12/624,643). In an aspect, reselection scanning can be adapted based on the kinetic fingerprint and radio modeling performed by TAC <b>210</b>.

0041<figref idref="DRAWINGS">FIG. 2</figref><i>b </i>is a block diagram of a system <b>260</b> employing a kinetic fingerprint to select at least a radio technology or a reselection interval in accordance with aspects of the disclosed subject matter. System <b>260</b> can be the same as, or similar to, system <b>200</b>. System <b>260</b> can include TAC <b>210</b>, Kinetic fingerprint component <b>220</b>, and radio selection modeling component <b>230</b> as disclosed herein. System <b>260</b> can further include assessment component <b>270</b>, which can be the same as, or similar to, the one or more assessment components disclosed in related application (U.S. Ser. No. 12/624,643). Assessment component <b>270</b> can include RSC <b>272</b> which can be the same as, or similar to, RSC <b>240</b>. Further, assessment component <b>270</b> can include RIC <b>274</b> which can be the same as, or similar to, RIC <b>250</b>. As will be appreciated by one of skill in the related arts, wherein assessment component <b>270</b> includes one or both of RSC <b>272</b> or RIC <b>274</b>, assessment component can facilitate access to selection interval and/or radio selection information.

0042<figref idref="DRAWINGS">FIG. 3</figref> is a block diagram of a system <b>300</b> for motion adaptive user equipment employing a kinetic sensor in accordance with aspects described herein. System <b>300</b> can be the same as, or similar to, system <b>100</b> or <b>200</b>. System <b>300</b> can include TAC <b>310</b>, RSC <b>340</b> and RIC <b>350</b> which can be the same as, or similar to, the corresponding components of system <b>100</b> or <b>200</b>. Further system <b>200</b> can include kinetic sensor component <b>335</b>. Kinetic sensor component <b>335</b> can source UE transit data. In an aspect, kinetic sensor component <b>335</b> can facilitate access to kinetic changes for a UE including changes in speed, velocity, or position as a function of time, historic kinetic data, kinetic data transformed in to the frequency domain, etc. A non-limiting example of kinetic sensor component <b>335</b> can be a five-axis capacitive accelerometer that executes a fast Fourier transform (FFT) and stores frequency data in a local memory that is accessible by TAC <b>310</b>. A second non-limiting example of kinetic sensor component <b>335</b> can be a piezoelectric inertial sensor that sources a raw voltage measurement to TAC <b>310</b> (wherein TAC <b>310</b> can separately access a temporal framework to facilitate deduction of a change in speed). One of skill in the art will appreciate that numerous kinetic sensors of varying levels of complexity can be employed as kinetic sensor component <b>335</b> without departing form the scope of the subject disclosure. Further, it will be appreciated that any form of data, e.g., voltage, current, resistance, numerical, ratio, etc., can be employed by TAC <b>310</b> within the scope of the present disclosure.

0043<figref idref="DRAWINGS">FIG. 4</figref> is a block diagram of a system <b>400</b> for motion adaptive user equipment employing a kinetic generator in accordance with aspects described herein. System <b>400</b> can be the same as, or similar to, system <b>100</b>, <b>200</b>, or <b>300</b>. System <b>400</b> can include TAC <b>410</b>, RSC <b>440</b> and RIC <b>450</b> which can be the same as, or similar to, the corresponding components of system <b>100</b>, <b>200</b> or <b>300</b>. System <b>400</b> can further include kinetic generator component <b>435</b>. Kinetic generator component <b>435</b> can be the same as, or similar to, kinetic sensor component <b>335</b>. Further, kinetic generator component <b>435</b> can include one or more kinetic sensors as sub-components of kinetic generator component <b>435</b>.

0044In an aspect, kinetic generator component <b>435</b> can generate UE transit data contemporaneously with kinetic power generation. For example, a kinetic generator can generate power when it accelerates in a particular direction. This same acceleration can be closely associated with movement of the UE itself. As such, UE transit can be deduced or determined (or measured directly) from the output of a kinetic generator. As a non-limiting example, a kinetic generator can function as an accelerometer of sorts and, as such, three orthogonal kinetic generators can be adapted to generate power from movements in 3-D space. These same movements in 3-D space can be deduced or determined by monitoring the power generated in each axis. For example, movements in the X-axis can be measured as a function of current generated form an X-axis kinetic generator. As a second example, a capacitive measurement can be provided from the X-axis generator contemporaneously with the current generated, which capacitive measurement can be associated with movement in the X-direction as a function of time. One of skill in the art will appreciate that kinetic generators can provide the same, or similar, data as kinetic sensors with the added benefit of power generation. As such, a kinetic generator can offer an attractive option for accessing UE transit data with little or no negative effect on the battery life (UE resources) of a UE.

0045<figref idref="DRAWINGS">FIG. 5</figref> is a block diagram of a system <b>500</b> for motion adaptive user equipment employing frequency analysis technology in accordance with aspects described herein. System <b>500</b> can be the same as, or similar to, system <b>100</b>, <b>200</b>, <b>300</b>, or <b>400</b>. System <b>500</b> can include TAC <b>510</b>, kinetic generator <b>535</b>, RSC <b>540</b> and RIC <b>550</b> which can be the same as, or similar to, the corresponding components of system <b>100</b>, <b>200</b>, <b>300</b> or <b>400</b>. TAC <b>510</b> can further include kinetic fingerprint component <b>520</b> which can be the same as, or similar to, kinetic fingerprint component <b>220</b>. Further, kinetic fingerprint component <b>520</b> can include frequency analysis component <b>525</b>.

0046Frequency analysis component <b>525</b> can facilitate conversion between temporal domain UE transit data and frequency domain UE transit data, e.g., converting frequency data into temporal data or the reverse by FFT, etc. In an aspect, this can be advantageous wherein particular modes of UE transit can be strongly associated with highly periodic kinetic changes. For example, rail travel can be associate with very regular “bumps” as a train truck crosses over rail welds which are typically at highly regular intervals. As another example, the gait of a user walking with a UE can be very regular and the rise and fall of the body can be highly periodic. As a still further example, the high frequency vibrations or a turbine engine, e.g., a jet engine, can produce recognizable frequency patterns. As such, the frequency analysis component <b>525</b> can be readily employed in kinetic fingerprinting as disclosed herein.

0047<figref idref="DRAWINGS">FIG. 6</figref> is a block diagram of a system <b>600</b> for motion adaptive user equipment employing learning technology in accordance with aspects described herein. System <b>600</b> can be the same as, or similar to, system <b>100</b>, <b>200</b>, <b>300</b>, <b>400</b> or <b>500</b>. System <b>600</b> can include TAC <b>610</b>, kinetic generator <b>635</b>, RSC <b>640</b> and RIC <b>650</b> which can be the same as, or similar to, the corresponding components of system <b>100</b>, <b>200</b>, <b>300</b>, <b>400</b> or <b>500</b>. TAC <b>610</b> can further include kinetic fingerprint component <b>620</b> that can be the same as, or similar to, kinetic fingerprint component <b>220</b> or <b>520</b>. Further, kinetic fingerprint component <b>620</b> can include learning component <b>627</b>. Learning component <b>627</b> can facilitate intelligent behavior for TAC <b>610</b>. In an aspect, learning component <b>627</b> can access additional data sources when UE transit data poorly matches the known kinetic fingerprint (s). As an example, a user can have a vibrating massage chair that can generate one or more sets of UE transit data that may not match any kinetic fingerprint of kinetic fingerprint component <b>620</b>. In response, default values can be communicated to RSC <b>640</b> or RIC <b>650</b>. Further, the response can trigger a learning mode in which, for example, the user interface asks prompts the user to input information relating to the particular UE transit data for the massage chair. Thus, when the massage chair is encountered in the future, the UE TAC <b>610</b> can respond appropriately. Numerous other examples of learning behavior are readily appreciated and are not presented for conciseness.

0048System <b>600</b> can further include secondary motion related component <b>680</b> communicatively coupled to learning component <b>627</b>. Secondary motion related component <b>680</b> can include one or more secondary motion related sources. As such, when a learning opportunity occurs, learning component <b>627</b> can access supplementary data sources to facilitate determinations of preferential kinetic dependant behaviors, e.g., radio selection and reselection interval determination. These secondary sources can include, but are not limited to, user interface (UI) component <b>682</b>, GPS component <b>684</b>, or mobility component <b>686</b>. UI component <b>682</b> can facilitate interaction with a user as a secondary data source, e.g., asking the user to define one or more parameters related to the detected kinetic data. GPS component <b>684</b> can source global position data to augment the UE transit data. Mobility component <b>686</b> can be the same as, or similar to, a mobility component as disclosed in related application (U.S. Ser. No. 12/624,643). It will be readily appreciated that the learning feature presently disclosed can facilitate rapid improvements in the performance of system <b>600</b>. In a further aspect, learned information can be shared with other devices to improve their functionality, e.g., common libraries, user profiles, data agglomeration, etc.

0049<figref idref="DRAWINGS">FIG. 7</figref> is an exemplary flowchart of procedures defining a method <b>700</b> for determining at least a preferential radio technology parameter or reselection interval parameter in accordance with aspects described herein. At <b>710</b>, system <b>700</b> can access UE transit data. UE transit data can be information related to the movement of a UE. For example, UE data can be related to movement of a UE causing a kinetic generator to generate power in a UE. At <b>720</b>, the US transit data can be analyzed to determine a kinetic class for the UE. The kinetic class can be associated with one or more characteristics of the UE transit data analyzed. For example, analysis of the UE transit data can indicate frequent acceleration and deceleration typically not exceeding 35 miles per hour (mph) and generally exceeding 15 mph. This can be classified as “city transit”, e.g., by bike, car, bus, etc. At <b>730</b>, a preferred radio technology or reselection interval parameter can be determined based, at least in part, on the UE kinetic class from <b>720</b>. At this point method <b>700</b> can end.

0050<figref idref="DRAWINGS">FIG. 8</figref> is an exemplary flowchart of procedures defining a method <b>800</b> for determining at least a preferential radio technology parameter or reselection interval parameter in accordance with aspects described herein. At <b>810</b>, UE transit data can be accessed. At <b>820</b>, the UE transit data can be analyzed to, at least in part, determine a kinetic fingerprint match for the UE transit data. Determinations of a kinetic fingerprint can provide additional assumptions about the UE transit data. For example, where a UE transit data set indicates speeds between 15 and 35 mph with frequent acceleration and deceleration, pauses after moving right, followed by vibrations at the beginning and end of each pause, e.g., from a door opening and closing, a fingerprint for a city bus can be matched (cf. to kinetic classification at <b>720</b>). Where the city bus match is made, other assumptions can be made, for example, that the bus can have a mobile WiFi connection, as opposed to a car or taxi that is less likely to have a WiFi connection. Where the WiFi connection can be a possibility, subsequent appropriate actions can be taken to check for, and take advantage of, said resource.

0051At <b>830</b>, a kinetic class can be selected based, at least in part, on a determined kinetic fingerprint from <b>820</b>. The kinetic class can allow for simplification of radio selection and reselection interval information. The kinetic classes can be as granular as the kinetic fingerprints, e.g., for each fingerprint there is a corresponding class, or can be of higher granularity, e.g., for every 10 fingerprints there is one corresponding class, etc. At <b>840</b>, a preferred radio technology or reselection interval parameter can be determined based, at least in part, on the UE kinetic class from <b>830</b>. At this point method <b>800</b> can end.

0052<figref idref="DRAWINGS">FIG. 9</figref> is an exemplary flowchart of procedures defining a method <b>900</b> for determining at least a preferential radio technology parameter or reselection interval parameter in accordance with aspects described herein. At <b>910</b>, UE transit data can be accessed form a kinetic generator. At <b>920</b> kinetic generator UE data can be transferred between the temporal and frequency domain, e.g., by FFT, etc., as appropriate. At <b>930</b>, a kinetic fingerprint can be determined for the UE transit data. Where a match cannot be positively determined, one or more default kinetic fingerprints can be employed. At <b>940</b>, a kinetic class can be selected based in part on the kinetic fingerprint from <b>930</b>.

0053At <b>950</b>, a preferred radio technology or reselection interval parameter can be determined based, at least in part, on the UE kinetic class from <b>940</b>. At <b>960</b> a preferred radio technology (or radio) can be selected. At <b>970</b>, a preferred reselection interval can be selected. At this point method <b>900</b> can end.

0054To provide further context for various aspects of the subject specification, <figref idref="DRAWINGS">FIG. 10</figref> illustrates an example wireless communication environment <b>1000</b>, with associated components that can enable operation of a femtocell enterprise network in accordance with aspects described herein. Wireless communication environment <b>1000</b> includes two wireless network platforms: (i) A macro network platform <b>1010</b> that serves, or facilitates communication) with user equipment <b>1075</b> via a macro radio access network (RAN) <b>1070</b>. It should be appreciated that in cellular wireless technologies, e.g., 4G, 3GPP UMTS, HSPA, 3GPP LTE, 3GPP UMB, macro network platform <b>1010</b> is embodied in a Core Network. (ii) A femto network platform <b>1080</b>, which can provide communication with UE <b>1075</b> through a femto RAN <b>1090</b>, linked to the femto network platform <b>1080</b> through a routing platform <b>102</b> via backhaul pipe(s) <b>1085</b>, wherein backhaul pipe(s) are substantially the same a backhaul link <b>3853</b> below. It should be appreciated that femto network platform <b>1080</b> typically offloads UE <b>1075</b> from macro network, once UE <b>1075</b> attaches, e.g., through macro-to-femto handover, or via a scan of channel resources in idle mode, to femto RAN.

0055It is noted that RAN includes base station(s), or access point(s), and its associated electronic circuitry and deployment site(s), in addition to a wireless radio link operated in accordance with the base station(s). Accordingly, macro RAN <b>1070</b> can comprise various coverage cells like cell <b>1205</b>, while femto RAN <b>1090</b> can comprise multiple femto access points. As mentioned above, it is to be appreciated that deployment density in femto RAN <b>1090</b> is substantially higher than in macro RAN <b>1070</b>.

0056Generally, both macro and femto network platforms <b>1010</b> and <b>1080</b> include components, e.g., nodes, gateways, interfaces, servers, or platforms, that facilitate both packet-switched (PS), e.g., internet protocol (IP), frame relay, asynchronous transfer mode (ATM), and circuit-switched (CS) traffic, e.g., voice and data, and control generation for networked wireless communication. In an aspect of the subject innovation, macro network platform <b>1010</b> includes CS gateway node(s) <b>1012</b> which can interface CS traffic received from legacy networks like telephony network(s) <b>1040</b>, e.g., public switched telephone network (PSTN), or public land mobile network (PLMN), or a SS7 network <b>1060</b>. Circuit switched gateway <b>1012</b> can authorize and authenticate traffic, e.g., voice, arising from such networks. Additionally, CS gateway <b>1012</b> can access mobility, or roaming, data generated through SS7 network <b>1060</b>; for instance, mobility data stored in a VLR, which can reside in memory <b>1030</b>. Moreover, CS gateway node(s) <b>1012</b> interfaces CS-based traffic and signaling and gateway node(s) <b>1018</b>. As an example, in a 3GPP UMTS network, gateway node(s) <b>1018</b> can be embodied in gateway GPRS support node(s) (GGSN).

0057In addition to receiving and processing CS-switched traffic and signaling, gateway node(s) <b>1018</b> can authorize and authenticate PS-based data sessions with served, e.g., through macro RAN, wireless devices. Data sessions can include traffic exchange with networks external to the macro network platform <b>1010</b>, like wide area network(s) (WANs) <b>1050</b>; it should be appreciated that local area network(s) (LANs) can also be interfaced with macro network platform <b>1010</b> through gateway node(s) <b>1018</b>. Gateway node(s) <b>1018</b> generates packet data contexts when a data session is established. To that end, in an aspect, gateway node(s) <b>1018</b> can include a tunnel interface, e.g., tunnel termination gateway (TTG) in 3GPP UMTS network(s); not shown, which can facilitate packetized communication with disparate wireless network(s), such as Wi-Fi networks. It should be further appreciated that the packetized communication can include multiple flows that can be generated through server(s) <b>1014</b>. It is to be noted that in 3GPP UMTS network(s), gateway node(s) <b>1018</b>, e.g., GGSN, and tunnel interface, e.g., TTG, comprise a packet data gateway (PDG).

0058Macro network platform <b>1010</b> also includes serving node(s) <b>1016</b> that convey the various packetized flows of information or data streams, received through gateway node(s) <b>1018</b>. As an example, in a 3GPP UMTS network, serving node(s) can be embodied in serving GPRS support node(s) (SGSN).

0059As indicated above, server(s) <b>1014</b> in macro network platform <b>1010</b> can execute numerous applications, e.g., location services, online gaming, wireless banking, wireless device management, etc., that generate multiple disparate packetized data streams or flows, and manage, e.g., schedule, queue, format, etc., such flows. Such application(s), for example can include add-on features to standard services provided by macro network platform <b>1010</b>. Data streams can be conveyed to gateway node(s) <b>1018</b> for authorization/authentication and initiation of a data session, and to serving node(s) <b>1016</b> for communication thereafter. Server(s) <b>1014</b> can also effect security, e.g., implement one or more firewalls, of macro network platform <b>1010</b> to ensure network's operation and data integrity in addition to authorization and authentication procedures that CS gateway node(s) <b>1012</b> and gateway node(s) <b>1018</b> can enact. Moreover, server(s) <b>1014</b> can provision services from external network(s), e.g., WAN <b>1050</b>, or Global Positioning System (GPS) network(s) (not shown). It is to be noted that server(s) <b>1014</b> can include one or more processor configured to confer at least in part the functionality of macro network platform <b>1010</b>. To that end, the one or more processor can execute code instructions stored in memory <b>1030</b>, for example.

0060In example wireless environment <b>1000</b>, memory <b>1030</b> stores information related to operation of macro network platform <b>1010</b>. Information can include business data associated with subscribers; market plans and strategies, e.g., promotional campaigns, business partnerships; operational data for mobile devices served through macro network platform; service and privacy policies; end-user service logs for law enforcement; and so forth. Memory <b>1030</b> can also store information from at least one of telephony network(s) <b>1040</b>, WAN(s) <b>1050</b>, or SS7 network <b>1060</b>, enterprise NW(s) <b>1065</b>, or service NW(s) <b>1067</b>.

0061Femto gateway node(s) <b>1084</b> have substantially the same functionality as PS gateway node(s) <b>1018</b>. Additionally, femto gateway node(s) <b>1084</b> can also include substantially all functionality of serving node(s) <b>1016</b>. In an aspect, femto gateway node(s) <b>1084</b> facilitates handover resolution, e.g., assessment and execution. Further, control node(s) <b>1020</b> can receive handover requests and relay them to a handover component (not shown) via gateway node(s) <b>1084</b>. According to an aspect, control node(s) <b>1020</b> can support RNC capabilities.

0062Server(s) <b>1082</b> have substantially the same functionality as described in connection with server(s) <b>1014</b>. In an aspect, server(s) <b>1082</b> can execute multiple application(s) that provide service, e.g., voice and data, to wireless devices served through femto RAN <b>1090</b>. Server(s) <b>1082</b> can also provide security features to femto network platform. In addition, server(s) <b>1082</b> can manage, e.g., schedule, queue, format, etc., substantially all packetized flows, e.g., IP-based, frame relay-based, ATM-based, it generates in addition to data received from macro network platform <b>1010</b>. It is to be noted that server(s) <b>1082</b> can include one or more processor configured to confer at least in part the functionality of macro network platform <b>1010</b>. To that end, the one or more processor can execute code instructions stored in memory <b>1086</b>, for example.

0063Memory <b>1086</b> can include information relevant to operation of the various components of femto network platform <b>1080</b>. For example operational information that can be stored in memory <b>1086</b> can comprise, but is not limited to, subscriber information; contracted services; maintenance and service records; femto cell configuration, e.g., devices served through femto RAN <b>1090</b>; access control lists, or white lists; service policies and specifications; privacy policies; add-on features; and so forth.

0064It is noted that femto network platform <b>1080</b> and macro network platform <b>1010</b> can be functionally connected through one or more reference link(s) or reference interface(s). In addition, femto network platform <b>1080</b> can be functionally coupled directly (not illustrated) to one or more of external network(s) <b>1040</b>, <b>1050</b>, <b>1060</b>, <b>1065</b> or <b>1067</b>. Reference link(s) or interface(s) can functionally link at least one of gateway node(s) <b>1084</b> or server(s) <b>1086</b> to the one or more external networks <b>1040</b>, <b>1050</b>, <b>1060</b>, <b>1065</b> or <b>1067</b>.

0065<figref idref="DRAWINGS">FIG. 11</figref> illustrates a wireless environment that includes macro cells and femtocells for wireless coverage in accordance with aspects described herein. In wireless environment <b>1150</b>, two areas <b>1105</b> represent “macro” cell coverage; each macro cell is served by a base station <b>1110</b>. It can be appreciated that macro cell coverage area <b>1105</b> and base station <b>1110</b> can include functionality, as more fully described herein, for example, with regard to system <b>1100</b>. Macro coverage is generally intended to serve mobile wireless devices, like UE <b>1120</b>_A, <b>1120</b>_B, in outdoors locations. An over-the-air wireless link <b>115</b> provides such coverage, the wireless link <b>1215</b> comprises a downlink (DL) and an uplink (UL), and utilizes a predetermined band, licensed or unlicensed, of the radio frequency (RF) spectrum. As an example, UE <b>1120</b>_A, <b>1120</b>_Ecan be a 3GPP Universal Mobile Telecommunication System (UMTS) mobile phone. It is noted that a set of base stations, its associated electronics, circuitry or components, base stations control component(s), and wireless links operated in accordance to respective base stations in the set of base stations form a radio access network (RAN). In addition, base station <b>1110</b> communicates via backhaul link(s) <b>1151</b> with a macro network platform <b>1160</b>, which in cellular wireless technologies, e.g., 3rd Generation Partnership Project (3GPP) Universal Mobile Telecommunication System (UMTS), Global System for Mobile Communication (GSM), represents a core network.

0066In an aspect, macro network platform <b>1160</b> controls a set of base stations <b>1110</b> that serve either respective cells or a number of sectors within such cells. Base station <b>1110</b> comprises radio equipment <b>1114</b> for operation in one or more radio technologies, and a set of antennas <b>1112</b>, e.g., smart antennas, microwave antennas, satellite dish(es), etc., that can serve one or more sectors within a macro cell <b>1105</b>. It is noted that a set of radio network control node(s), which can be a part of macro network platform; a set of base stations, e.g., Node B <b>1110</b>, that serve a set of macro cells <b>1105</b>; electronics, circuitry or components associated with the base stations in the set of base stations; a set of respective OTA wireless links, e.g., links <b>1115</b> or <b>1116</b>, operated in accordance to a radio technology through the base stations; and backhaul link(s) <b>1155</b> and <b>1151</b> form a macro radio access network (RAN). Macro network platform <b>1160</b> also communicates with other base stations (not shown) that serve other cells (not shown). Backhaul link(s) <b>1151</b> or <b>1153</b> can include a wired backbone link, e.g., optical fiber backbone, twisted-pair line, T1/E1 phone line, a digital subscriber line (DSL) either synchronous or asynchronous, an asymmetric ADSL, or a coaxial cable, etc., or a wireless, e.g., line-of-sight (LOS) or non-LOS, backbone link. Backhaul pipe(s) <b>1155</b> link disparate base stations <b>1110</b>. According to an aspect, backhaul link <b>1153</b> can connect multiple femto access points <b>1130</b> and/or controller components (CC) <b>1101</b> to the femto network platform <b>1102</b>. In one example, multiple femto APs can be connected to a routing platform (RP) <b>1087</b>, which in turn can be connect to a controller component (CC) <b>1101</b>. Typically, the information from UEs <b>1120</b>_Acan be routed by the RP <b>102</b>, for example, internally, to another UE <b>1120</b>_Aconnected to a disparate femto AP connected to the RP <b>1087</b>, or, externally, to the femto network platform <b>1102</b> via the CC <b>1101</b>.

0067In wireless environment <b>1150</b>, within one or more macro cell(s) <b>1105</b>, a set of femtocells <b>1145</b> served by respective femto access points (APs) <b>1130</b> can be deployed. It can be appreciated that, aspects of the subject innovation are geared to femtocell deployments with substantive femto AP density, e.g., 10⁴-10⁷femto APs <b>1130</b> per base station <b>1110</b>. According to an aspect, a set of femto access points <b>1130</b>₁-<b>3730</b>_N, with N a natural number, can be functionally connected to a routing platform <b>1087</b>, which can be functionally coupled to a controller component <b>1101</b>. The controller component <b>1101</b> can be operationally linked to the femto network platform <b>330</b> by employing backhaul link(s) <b>1153</b>. Accordingly, UEs UE <b>3720</b>_Aconnected to femto APs <b>1130</b>₁-<b>3830</b>_Ncan communicate internally within the femto enterprise via the routing platform (RP) <b>1087</b> and/or can also communicate with the femto network platform <b>1102</b> via the RP <b>1087</b>, controller component <b>1101</b> and the backhaul link(s) <b>1153</b>. It can be appreciated that although only one femto enterprise is depicted in <figref idref="DRAWINGS">FIG. 11</figref>, multiple femto enterprise networks can be deployed within a macro cell <b>1105</b>.

0068It is noted that while various aspects, features, or advantages described herein have been illustrated through femto access point(s) and associated femto coverage, such aspects and features also can be exploited for home access point(s) (HAPs) that provide wireless coverage through substantially any, or any, disparate telecommunication technologies, such as for example Wi-Fi (wireless fidelity) or picocell telecommunication. Additionally, aspects, features, or advantages of the subject innovation can be exploited in substantially any wireless telecommunication, or radio, technology; for example, Wi-Fi, Worldwide Interoperability for Microwave Access (WiMAX), Enhanced General Packet Radio Service (Enhanced GPRS), 3GPP LTE, 3GPP2 UMB, 3GPP UMTS, HSPA, HSDPA, HSUPA, or LTE Advanced. Moreover, substantially all aspects of the subject innovation can include legacy telecommunication technologies.

0069Referring now to <figref idref="DRAWINGS">FIG. 12</figref>, there is illustrated a block diagram of an exemplary computer system operable to execute the disclosed architecture. In order to provide additional context for various aspects of the disclosed subject matter, <figref idref="DRAWINGS">FIG. 12</figref> and the following discussion are intended to provide a brief, general description of a suitable computing environment <b>1200</b> in which the various aspects of the disclosed subject matter can be implemented. Additionally, while the disclosed subject matter described above may be suitable for application in the general context of computer-executable instructions that may run on one or more computers, those skilled in the art will recognize that the disclosed subject matter also can be implemented in combination with other program modules and/or as a combination of hardware and software.

0070Generally, program modules include routines, programs, components, data structures, etc., that perform particular tasks or implement particular abstract data types. Moreover, those skilled in the art will appreciate that the inventive methods can be practiced with other computer system configurations, including single-processor or multiprocessor computer systems, minicomputers, mainframe computers, as well as personal computers, hand-held computing devices, microprocessor-based or programmable consumer electronics, and the like, each of which can be operatively coupled to one or more associated devices.

0071The illustrated aspects of the disclosed subject matter may also be practiced in distributed computing environments where certain tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules can be located in both local and remote memory storage devices. As a non-limiting example, kinetic fingerprint component <b>520</b> can be located in the cloud or in the UE. As a further non-limiting example, the various sub-components of secondary motion related component <b>680</b> can be embodied on the UE, in the cloud, on a user PC, or combinations thereof, etc.

0072Computing devices typically include a variety of media, which can include computer-readable storage media and/or communications media, which two terms are used herein differently from one another as follows. Computer-readable storage media can be any available storage media that can be accessed by the computer and includes both volatile and nonvolatile media, removable and non-removable media. By way of example, and not limitation, computer-readable storage media can be implemented in connection with any method or technology for storage of information such as computer-readable instructions, program modules, structured data, or unstructured data. Computer-readable storage media can include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD ROM, digital versatile disk (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or other tangible and/or non-transitory media which can be used to store desired information. Computer-readable storage media can be accessed by one or more local or remote computing devices, e.g., via access requests, queries or other data retrieval protocols, for a variety of operations with respect to the information stored by the medium.

0073Communications media typically embody computer-readable instructions, data structures, program modules or other structured or unstructured data in a data signal such as a modulated data signal, e.g., a carrier wave or other transport mechanism, and include any information delivery or transport media. The term “modulated data signal” or signals refers to a signal that has one or more of its characteristics set or changed in such a manner as to encode information in one or more signals. By way of example, and not limitation, communication media include wired media, such as a wired network or direct-wired connection, and wireless media such as acoustic, RF, infrared and other wireless media.

0074With reference again to <figref idref="DRAWINGS">FIG. 12</figref>, the exemplary environment <b>1200</b> for implementing various aspects of the disclosed subject matter includes a computer <b>1202</b>, the computer <b>1202</b> including a processing unit <b>1204</b>, a system memory <b>1206</b> and a system bus <b>1208</b>. The system bus <b>1208</b> couples to system components including, but not limited to, the system memory <b>1206</b> to the processing unit <b>1204</b>. The processing unit <b>1204</b> can be any of various commercially available processors. Dual microprocessors and other multi-processor architectures may also be employed as the processing unit <b>1204</b>.

0075The system bus <b>1208</b> can be any of several types of bus structure that may further interconnect to a memory bus (with or without a memory controller), a peripheral bus, and a local bus using any of a variety of commercially available bus architectures. The system memory <b>1206</b> includes read-only memory (ROM) <b>1210</b> and random access memory (RAM) <b>1212</b>. A basic input/output system (BIOS) is stored in a non-volatile memory <b>1210</b> such as ROM, EPROM, EEPROM, which BIOS contains the basic routines that help to transfer information between elements within the computer <b>1202</b>, such as during start-up. The RAM <b>1212</b> can also include a high-speed RAM such as static RAM for caching data.

0076The computer <b>1202</b> further includes an internal hard disk drive (HDD) <b>1214</b>, e.g., EIDE, SATA, which internal hard disk drive <b>1214</b> may also be configured for external use in a suitable chassis, e.g., <b>1215</b>, a magnetic floppy disk drive (FDD) <b>1216</b>, e.g., to read from or write to a removable diskette <b>1218</b>, and an optical disk drive <b>1220</b>, e.g., reading a CD-ROM disk <b>1222</b> or, to read from or write to other high capacity optical media such as the DVD. The hard disk drive <b>1214</b> (or <b>1215</b>), magnetic disk drive <b>1216</b> and optical disk drive <b>1220</b> can be connected to the system bus <b>1208</b> by a hard disk drive interface <b>1224</b>, a magnetic disk drive interface <b>1226</b> and an optical drive interface <b>1228</b>, respectively. The interface <b>1224</b> for external drive implementations includes at least one or both of Universal Serial Bus (USB) and IEEE1394 interface technologies. Other external drive connection technologies are within contemplation of the subject matter disclosed herein.

0077The drives and their associated computer-readable media provide nonvolatile storage of data, data structures, computer-executable instructions, and so forth. For the computer <b>1202</b>, the drives and media accommodate the storage of any data in a suitable digital format. Although the description of computer-readable media above refers to a HDD, a removable magnetic diskette, and a removable optical media such as a CD or DVD, it should be appreciated by those skilled in the art that other types of media which are readable by a computer, such as zip drives, magnetic cassettes, flash memory cards, cartridges, and the like, may also be used in the exemplary operating environment, and further, that any such media may contain computer-executable instructions for performing the methods of the disclosed subject matter.

0078A number of program modules can be stored in the drives and RAM <b>1212</b>, including an operating system <b>1230</b>, one or more application programs <b>1232</b>, other program modules <b>1234</b> and program data <b>1236</b>. All or portions of the operating system, applications, modules, and/or data can also be cached in the RAM <b>1212</b>. It is appreciated that the disclosed subject matter can be implemented with various commercially available operating systems or combinations of operating systems.

0079A user can enter commands and information into the computer <b>1202</b> through one or more wired/wireless input devices, e.g., a keyboard <b>1238</b> and a pointing device, such as a mouse <b>1240</b>. Other input devices (not shown) may include a microphone, an IR remote control, a joystick, a game pad, a stylus pen, touch screen, or the like. These and other input devices are often connected to the processing unit <b>1204</b> through an input device interface <b>1242</b> that is coupled to the system bus <b>1208</b>, but can be connected by other interfaces, such as a parallel port, an IEEE1394 serial port, a game port, a USB port, an IR interface, etc.

0080A monitor <b>1244</b> or other type of display device is also connected to the system bus <b>1208</b> via an interface, such as a video adapter <b>1246</b>. In addition to the monitor <b>1244</b>, a computer typically includes other peripheral output devices (not shown), such as speakers, printers, etc.

0081The computer <b>1202</b> may operate in a networked environment using logical connections via wired and/or wireless communications to one or more remote computers, such as a remote computer(s) <b>1248</b>. The remote computer(s) <b>1248</b> can be a workstation, a server computer, a router, a personal computer, a mobile device, portable computer, microprocessor-based entertainment appliance, a peer device or other common network node, and typically includes many or all of the elements described relative to the computer <b>1202</b>, although, for purposes of brevity, only a memory/storage device <b>1250</b> is illustrated. The logical connections depicted include wired/wireless connectivity to a local area network (LAN) <b>1252</b> and/or larger networks, e.g., a wide area network (WAN) <b>1254</b>. Such LAN and WAN networking environments are commonplace in offices and companies, and facilitate enterprise-wide computer networks, such as intranets, all of which may connect to a global communications network, e.g., the Internet.

0082When used in a LAN networking environment, the computer <b>1202</b> is connected to the local network <b>1252</b> through a wired and/or wireless communication network interface or adapter <b>1256</b>. The adapter <b>1256</b> may facilitate wired or wireless communication to the LAN <b>1252</b>, which may also include a wireless access point disposed thereon for communicating with the wireless adapter <b>1256</b>.

0083When used in a WAN networking environment, the computer <b>1202</b> can include a modem <b>1258</b>, or is connected to a communications server on the WAN <b>1254</b>, or has other means for establishing communications over the WAN <b>1254</b>, such as by way of the Internet. The modem <b>1258</b>, which can be internal or external and a wired or wireless device, is connected to the system bus <b>1208</b> via the serial port interface <b>1242</b>. In a networked environment, program modules depicted relative to the computer <b>1202</b>, or portions thereof, can be stored in the remote memory/storage device <b>1250</b>. It will be appreciated that the network connections shown are exemplary and other means of establishing a communications link between the computers can be used.

0084The computer <b>1202</b> is operable to communicate with any wireless devices or entities operatively disposed in wireless communication, e.g., a printer, scanner, desktop and/or portable computer, portable data assistant, communications satellite, any piece of equipment or location associated with a wirelessly detectable tag, e.g., a kiosk, news stand, restroom, etc., and telephone. This includes at least Wi-Fi and Bluetooth™ wireless technologies. Thus, the communication can be a predefined structure as with a conventional network or simply an ad hoc communication between at least two devices.

0085Wi-Fi, or Wireless Fidelity, allows connection to the Internet from a couch at home, a bed in a hotel room, or a conference room at work, without wires. Wi-Fi is a wireless technology similar to that used in a cell phone that enables such devices, e.g., computers, to send and receive data indoors and out; anywhere within the range of a base station. Wi-Fi networks use radio technologies called IEEE802.11(a, b, g, n, etc.) to provide secure, reliable, fast wireless connectivity. A Wi-Fi network can be used to connect computers to each other, to the Internet, and to wired networks (which use IEEE802.3 or Ethernet). Wi-Fi networks operate in the unlicensed 2.4 and 5 GHz radio bands, at an 11 Mbps (802.11b) or 54 Mbps (802.11a) data rate, for example, or with products that contain both bands (dual band), so the networks can provide real-world performance similar to the basic “10BaseT” wired Ethernet networks used in many offices.

0086Various aspects or features described herein can be implemented as a method, apparatus, or article of manufacture using standard programming and/or engineering techniques. In addition, various aspects disclosed in the subject specification can also be implemented through program modules stored in a memory and executed by a processor, or other combination of hardware and software, or hardware and firmware. The term “article of manufacture” as used herein is intended to encompass a computer program accessible from any computer-readable device, carrier, or media. For example, computer readable media can include but are not limited to magnetic storage devices, e.g., hard disk, floppy disk, magnetic strips, etc., optical disks, e.g., compact disc (CD), digital versatile disc (DVD), blu-ray disc (BD), etc., smart cards, and flash memory devices, e.g., card, stick, key drive, etc. Additionally it should be appreciated that a carrier wave can be employed to carry computer-readable electronic data such as those used in transmitting and receiving electronic mail or in accessing a network such as the internet or a local area network (LAN). Of course, those skilled in the art will recognize many modifications may be made to this configuration without departing from the scope or spirit of the disclosed subject matter.

0087As it employed in the subject specification, the term “processor” can refer to substantially any computing processing unit or device comprising, but not limited to comprising, single-core processors; single-processors with software multithread execution capability; multi-core processors; multi-core processors with software multithread execution capability; multi-core processors with hardware multithread technology; parallel platforms; and parallel platforms with distributed shared memory. Additionally, a processor can refer to an integrated circuit, an application specific integrated circuit (ASIC), a digital signal processor (DSP), a field programmable gate array (FPGA), a programmable logic controller (PLC), a complex programmable logic device (CPLD), a discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. Processors can exploit nano-scale architectures such as, but not limited to, molecular and quantum-dot based transistors, switches and gates, in order to optimize space usage or enhance performance of user equipment. A processor also can be implemented as a combination of computing processing units.

0088In the subject specification, terms such as “store,” “data store,” “data storage,” “database,” “repository,” and substantially any other information storage component relevant to operation and functionality of a component, refer to “memory components,” or entities embodied in a “memory” or components comprising the memory. It will be appreciated that the memory components described herein can be either volatile memory or nonvolatile memory, or can include both volatile and nonvolatile memory. In addition, memory components or memory elements can be removable or stationary. Moreover, memory can be internal or external to a device or component, or removable or stationary. Memory can include various types of media that are readable by a computer, such as hard-disc drives, zip drives, magnetic cassettes, flash memory cards or other types of memory cards, cartridges, or the like.

0089By way of illustration, and not limitation, nonvolatile memory can include read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM), which acts as external cache memory. By way of illustration and not limitation, RAM is available in many forms such as synchronous RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), and direct Rambus RAM (DRRAM). Additionally, the disclosed memory components of systems or methods herein are intended to comprise, without being limited to comprising, these and any other suitable types of memory.

0090What has been described above includes examples of the various embodiments. It is, of course, not possible to describe every conceivable combination of components or methodologies for purposes of describing the embodiments, but one of ordinary skill in the art may recognize that many further combinations and permutations are possible. Accordingly, the detailed description is intended to embrace all such alterations, modifications, and variations that fall within the spirit and scope of the appended claims.

0091In particular and in regard to the various functions performed by the above described components, devices, circuits, systems and the like, the terms (including a reference to a “means”) used to describe such components are intended to correspond, unless otherwise indicated, to any component which performs the specified function of the described component, e.g., a functional equivalent, even though not structurally equivalent to the disclosed structure, which performs the function in the herein illustrated exemplary aspects of the embodiments. In this regard, it will also be recognized that the embodiments includes a system as well as a computer-readable medium having computer-executable instructions for performing the acts and/or events of the various methods.

0092In addition, while a particular feature may have been disclosed with respect to only one of several implementations, such feature may be combined with one or more other features of the other implementations as may be desired and advantageous for any given or particular application. Furthermore, to the extent that the terms “includes,” and “including” and variants thereof are used in either the detailed description or the claims, these terms are intended to be inclusive in a manner similar to the term “comprising.”