Site selection method and device and grid selection method and device

Site selection method and equipment and grid selection method and equipment This application requires that it be submitted to the China Patent Office on January 16, 2011, the application number is

201 11 0363209. 0. The priority of the Chinese patent application whose invention title is "Site selection method and equipment and grid selection method and equipment", the entire content of which is incorporated by reference in this application. TECHNICAL FIELD The present invention relates to the technical field of mobile communications, and in particular, to a method and device for selecting a site and a method and device for selecting a grid. Background technique

In the Long Term Evolution-Advanced (LTE-A) system, in order to improve the throughput of cell edge users, a relay node (Relay) may be deployed in the network. In the place where Relay is deployed, the communication between the base station and the mobile station is processed by Relay. Relay performs signal amplification or regeneration processing and forwards it. This communication method can improve coverage and signal quality in places with relatively poor coverage. However, since the current Relay protocol is still being perfected, there is no solution to solve the problem of automatic selection of Relay site. SUMMARY OF THE INVENTION The present invention provides a method and device for selecting a site address and a method and device for selecting a grid, to realize automatic selection of the site address of a relay node or a small base station.

The present invention provides a method for selecting a site, including:

Divide the area of the site to be analyzed into multiple grids;

Perform signal acquisition on the sampling points in each grid, determine the grid that needs to be deployed on the site according to the collected signal index value, and deploy the site that needs to be deployed on the grid that needs to be deployed on the site.

The present invention provides a station site selection device, including:

A dividing module, which is used to divide the area to be analyzed of the site to be analyzed into multiple grids;

The deployment module is used to collect signals from the sampling points in each grid, determine the grid of the site to be deployed according to the collected signal index value, and deploy the site to be deployed in the grid of the site to be deployed .

The present invention provides a grid selection method, including:

Signal acquisition is performed on sampling points in each grid, the grid is obtained by dividing the area to be analyzed of the site to be deployed;

Determine the grid that needs to be deployed at the site based on the collected signal indicator values.

The present invention provides a grid selection device, including:

A collection module, configured to collect signals from sampling points in each grid, the grid is obtained by dividing the area to be analyzed of the site to be deployed;

The determination module is used to determine the grid of the station to be deployed according to the collected signal index value. It can be seen from the above technical solutions that the present invention determines the grid of the site to be deployed according to the signal index value obtained by sampling the points of the grid by dividing the grid of the area where the site is to be deployed and sampling the points in the grid, and the site to be deployed Deployed into the grid that needs to be deployed, it can realize the automatic selection of the site of the site. BRIEF DESCRIPTION OF THE DRAWINGS In order to more clearly explain the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required in the description of the embodiments. Obviously, the drawings in the following description are some of the present invention. For the embodiment, for those of ordinary skill in the art, without paying creative labor, other drawings may be obtained based on these drawings.

FIG. 1 is a schematic flowchart of a method according to a first embodiment of the present invention;

2 is a schematic diagram of dividing a grid in an embodiment of the present invention;

3 is a schematic diagram of the relationship between the weighted value and the index value in the embodiment of the present invention;

4 is a schematic flowchart of a method according to a second embodiment of the invention;

5 is a schematic diagram of site selection in an embodiment of the present invention;

FIG. 6 is a schematic diagram of combining sites in an embodiment of the present invention;

7 is a schematic flowchart of a method according to a third embodiment of the present invention;

8 is a schematic flowchart of a method according to a fourth embodiment of the present invention;

9 is a schematic structural diagram of a device according to a fifth embodiment of the present invention;

10 is a schematic flowchart of an embodiment of a grid selection method in the present invention; FIG. 11 is a schematic structural diagram of an embodiment of a grid selection device in the present invention. DETAILED DESCRIPTION To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be described clearly and completely in conjunction with the drawings in the embodiments of the present invention. Obviously, the description The embodiment of the present invention is a part of the embodiments of the present invention, but not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by a person of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

FIG. 1 is a schematic flowchart of a method according to a first embodiment of the present invention, including:

Step 11: Divide the area of the site to be analyzed into multiple grids.

The station in the embodiment of the present invention may be a relay node (Relay) or a small base station. Optionally, the dividing process may include: determining the minimum rectangle containing the area where the site is to be deployed as the area to be analyzed; dividing the minimum rectangle according to the propagation radius of the site to obtain multiple grids.

Further, before the division may include: acquiring the area where the relay node or the small base station is to be deployed. The site selection scheme of the embodiment of the present invention may be applicable to the site selection of Relay or the site selection of small base stations. The relay site selection is taken as an example below.

When planning, you can select the area to deploy Relay, for example, select area A as the deployment area

Relay i or.

The area to be analyzed may be the smallest rectangle containing the area where the relay node or small base station is to be deployed. As shown in Figure 2, the trapezoid represents the area where Relay is to be deployed, and the smallest rectangle containing the trapezoid is the area to be analyzed. After that, the area to be analyzed can be divided into multiple grids at intervals of N. When dividing, you can divide from the upper left corner of the area to be analyzed. Each grid is a square with a side length of N. Of course, if the last divided part can no longer form a square, a rectangle will appear at the edge of the area to be analyzed Grid.

The value range of N can be: N 2R, where R is the propagation radius of Relay. N can choose a value within the range of ¾N2R according to actual needs. For example, when N is selected as ^R, it indicates that the diagonal length of the square grid is 2R, and when N is selected as 2R, it indicates that the square grid The side length of the grid is 2R, N can be 2R by default.

Step 12: Perform signal acquisition on the sampling points in each grid, determine the grid where the site needs to be deployed according to the collected signal index value, and deploy the site that needs to be deployed in the grid of the site that needs to be deployed.

Where the grid is used as the processing object, the points in each grid can be sampled at intervals of the map resolution to obtain sampling points. The points within the grid here include points inside the grid edge and points on the grid edge.

The collected signal index value can be determined according to actual needs. For example, the collected signal index value includes a reference signal received power (Reference Signal Received Power, RSRP) and a signal to interference plus noise ratio (SINR).

After obtaining different signal index values, different signal index values can be fitted to obtain the fitting value of the sampling point, for example, the calculation formula is: fitVal i = + a₂V_s Where fitVa! i is the fitting value of sampling point i, V is the weighted value corresponding to RSRP, V is the weight value corresponding to SINR, V_{some ;tem}The weight value corresponding to other optional indicators, α_ι, α₂, · · · Α_ηThe weighting factor for force p can be set according to actual needs, satisfying A + ^ + .-. + ^ Li^ a^ U ^^

Since the interval corresponding to each indicator is different, in order to calculate the fitted value in the same interval, it is necessary to transform each indicator value to obtain the corresponding weighted value, so that the value interval of different indicators is the same.

For the calculation of the weighted value, refer to the linear calculation in FIG. 3. Of course, a non-linear calculation may also be used, as long as the weighted values corresponding to the indicators are in the same value interval. In FIG. 3, the abscissa represents the index value collected from the sampling point, and the ordinate represents the corresponding weighted value. Through the linear transformation shown in FIG. 3, the value interval of the index value can be transformed to 0~100.

After the fitting value of each sampling point is obtained, the index value fitValue of the corresponding grid can be obtained according to the fitting value, and the index value of the grid can be linear or nonlinear by the fitting value of the sampling point corresponding to the grid Fitted, for example, fitValue = fitValue

After the grid index value JitVah is obtained, it can be determined whether the grid is a grid requiring Relay deployment according to the grid index value.

Specifically, the RSRP value fitVc and the SINR value fitValue of the grid are selected, and then it is determined whether the corresponding grid needs to deploy Relay according to the RSRP value and the SINR value of the grid.

For example, for each sampling point, you can take 1 in the above formula and 0 for the others to obtain the RSRP value of each sampling point, and then fit the RSRP value of each sampling point to obtain the RSRP value of the grid. Expressed as fitVal. The SINR value fitValue of the grid can also be obtained in a similar manner_SINR

After that, if the grid has a preset minimum threshold value of φ7 £»//ο/έ £. And the preset highest value RsrpThresholdHigh β], and the fitValue of the grid_SINRIf it is greater than the preset threshold SINRThreshold, it is determined that the corresponding grid is a grid requiring Relay deployment.

After determining the grid where the Relay needs to be deployed, the position of the deployed Relay can be determined according to the position of the sampling point in the grid.

Specifically, the position of the Relay deployed in the grid may be the position of the center of gravity of each sampling point in the grid, and the calculation formula may be:

^ fitValue_i xx_i ^ fitValue_i xy_i

'^^s __ifitValue_i J fitValuei where, respectively, the position coordinates of the Relay deployed in the grid are also the center of gravity coordinates of the sampling points in the grid, χ,, J, respectively are the position coordinates of the sampling points in the grid in the grid .

In this embodiment, through the above-mentioned processing, the automatic selection of the site of the relay node or the small base station can be realized to avoid the problems caused by manual selection.

Further, due to limitations of some practical factors, the center of gravity position determined above may require further screening to obtain an optimal deployment position.

4 is a schematic flowchart of a method according to a second embodiment of the present invention, including:

Step 41: Determine the deployment location in the grid where Relay needs to be deployed.

For details, please refer to steps 11 to 13 of the previous embodiment.

Step 42: Screen the above deployment locations.

The screening may be based on different screening principles, for example, screening based on at least one of the following screening principles: screening based on limited conditions, screening based on special area isolation, or screening based on traffic distribution.

The screening based on limited conditions may be: the deployed relay cannot be too close to the macro base station, the relay spacing meets certain conditions, and the close-range relay merges, etc.

Specifically, referring to FIG. 5, the screening conditions include: the distance between the position of the Relay to be deployed and the nearest LTE macro base station cannot be lower than a preset first threshold MinDistancel, the position of the Relay to be deployed and the existing Relay The distance between them cannot be lower than the preset second threshold MinDistance2, and the distance between the position of the Relay to be deployed and another Relay to be deployed cannot be lower than the preset third threshold MinDistance3. In addition, in areas with poor signals, the distance between the relays to be deployed may be too close, and the relays that are too close may interfere with each other greatly. In order to avoid interference, the two Relays to be deployed with a spacing smaller than the Relay coverage radius can be combined. As shown in FIG. 6, the position between the initial two Relays to be deployed with a distance smaller than the Relay coverage radius is determined as The position of the Relay to be deployed to replace the initial two positions of the Relay to be deployed.

The screening based on special area isolation can be: If the position of the Relay to be deployed is a lake, river, highway, high-rise building, etc., you need to select another position. You can select other locations in the following ways: Select the four sampling points closest to the initial position where Relay is to be deployed, obtain the index value fitVal of these four sampling points, and determine the location of the sampling point with the highest index value as the new requirement Where to deploy Relay. If the new location where the Relay is to be deployed is still the above-mentioned special area, the Relay deployment to this location can be abandoned.

The screening based on traffic distribution may be: acquiring the geographical distribution of traffic of the existing system such as 2G/3G or the LTE macro base station itself through positioning, and if the coverage of the Relay to be deployed is within the coverage of the traffic is less than the preset threshold. You need to choose another location. You can select other locations in the following ways: Select the four sampling points closest to the initial position where Relay is to be deployed, obtain the index values of these four sampling points/"Va e, and determine the location of the sampling point with the highest index value as The location of the new relay to be deployed. If the traffic within the coverage of the new relay to be deployed is greater than the threshold, the new location of the relay to be deployed is replaced, otherwise, if the traffic is still less than the threshold, Then you can abandon the Relay deployment to this location.

Certain elections have been conducted above, and further, further selections can be made.

7 is a schematic flowchart of a method according to a third embodiment of the present invention, including:

Step 71: Determine the Relay to be deployed and its index value.

The position of the relay to be deployed may be the position of the center of gravity obtained in the first embodiment, or the position after the position of the center of gravity is filtered as shown in the second embodiment.

Indicator value of Relay to be deployed /? t^/_MeThat is, the index value corresponding to the position of the center of gravity of the grid, and the calculation method of the index value can be obtained by referring to the above method of fitting each index value of the point.

Step 72: Determine the macro cell to which the Relay to be deployed belongs.

Among them, a transmission model suitable for backhaul link transmission may be used to determine the home macro cell.

For example, a candidate set of macro cells may be established first, and the candidate set of macro cells may be the home macro cell of each sampling point in the grid; the center of gravity of the grid is calculated to each of the candidate sets of the macro cell SINR of the macro cell; if the number of relays that the macro cell with the best SINR has accessed is less than the set number, the macro cell with the smallest SINR is selected as the home macro cell, if the number of relays that have been accessed is greater than The set number can continue to determine the number of relays that the macro cell with the second best SINR has accessed until the home macro cell is determined. The number of the above settings may be five.

Step 73: Determine the optimal access number of the home macro cell.

Among them, the optimal access number of each home macro cell can be determined through simulation.

For example, for each home macro cell: Perform capacity simulation on the macro cell when it is not connected to Relay, and obtain a capacity simulation result Re «//t. ;

Perform capacity simulation on the macro cell when accessing one Relay to obtain another capacity simulation result Result;

Carry out capacity simulation according to this, until the capacity simulation is performed when n relays are accessed to the macro cell, and Re «//t...... is obtained, where n is the requirement of each home macro cell obtained by determining the real macro home cell mentioned above Number of Relays accessed;

Compare the simulation results Re «/t. , Res lt, ..., Res lt_n , ^! The best result Re «corresponding access number A is determined as the optimal access number.

The above capacity simulation may include access control, power control, resource scheduling, interference coordination and other simulations. The above simulation result Re «//t may be the total throughput, edge throughput or call drop rate of the macro cell, etc. index. The specific capacity simulation content, the simulation result to be determined and the definition of the best simulation result can be determined according to actual needs. For example, the simulation result includes the total throughput and the dropped call rate. If the required index is to obtain the optimal total throughput, the above-mentioned best simulation result refers to the result with the highest total throughput, even if the dropped call rate at this time Not the lowest.

Step 74: According to the index value of each relay to be deployed, select the same number of relays as the optimal access number for deployment.

Among them, the priority of each Relay may be marked with an index value. Assuming that the optimal number of accesses is N, N Relay accesses with higher priorities are selected.

Further, after the above selection is made, a simulation test can also be performed.

8 is a schematic flowchart of a method according to a fourth embodiment of the present invention, including:

Step 81: Determine the location of the relay to be deployed.

The location of the Relay to be deployed may be the location obtained in the first embodiment, or the location obtained after screening in the second embodiment, or the location obtained after priority selection in the third embodiment.

Further, after the above-mentioned location is obtained, it is also possible to carry out an engineering survey investigation, verification and screening, for example, to manually perform a stand-up on the existing network map, and deploy if the above location is suitable for deployment.

Step 82: Co-simulate the scenario when the Relay is deployed at the above location and determine the final deployment location.

Among them, you can perform co-simulation with the LTE macro base station before and after the deployment of the relay at the above-mentioned location to obtain the results of the co-simulation, and compare the simulation results before and after the deployment of the relay. If the performance before and after the deployment meets the requirements, it is determined as the location where the relay is finally deployed. . Co-simulation refers to the communication performance simulation of the deployed Relay and LTE macro base stations according to the protocol model.

Gen embodiments contemplate multiple embodiments of the present invention, the influence of interpersonal factors, the interference can be introduced into the newly added Relay minimum, channel quality greatly improved, greatly reducing the cost of doing the sorting station and disadvantages. By preferentially selecting N Relays for deployment, the Relay with the highest priority can be deployed first under certain premises, so that the coverage is greater, the channel quality is better improved, and the cell capacity is improved more. Operators get a faster return on investment.

9 is a schematic structural diagram of a device according to a fifth embodiment of the present invention, including a division module 91 and a deployment module 92; the division module 91 is used to divide the area to be analyzed of the site to be analyzed into multiple grids; the deployment module 92 is used for each The sampling points in the grid are used for signal collection, and the grid that needs to be deployed is determined according to the collected signal index value, and the site that needs to be deployed is deployed in the grid that needs to be deployed.

Optionally, the dividing module includes: a determining unit, which is used to determine the smallest rectangle containing the area where the site is to be deployed as an area to be analyzed; a dividing unit, which is used to divide the smallest rectangle according to the propagation radius of the station, Get multiple grids.

Optionally, the dividing unit is specifically configured to divide the minimum rectangle at intervals of N to obtain multiple grids, where<img file="WO2013071771A1_D0001.tif" /> R is the propagation radius of the site.

Optionally, the deployment module is specifically used for: corresponding to each grid, sampling points within the grid at intervals of the map resolution to obtain multiple signal index values for each sampling point; according to the multiple Signal index values to obtain the fitting value of each sampling point; according to the fitting value of each sampling point to obtain the index value of the corresponding grid, the grid index value includes the grid RSRP value and the grid SINR value If the RSRP value of the grid is between the set minimum threshold and the maximum threshold, and the SINR value of the grid is greater than the set threshold, it is determined that the grid is a grid requiring a site deployment. Optionally, the deployment module is further specifically configured to: determine the location of the center of gravity of the sampling point in the grid of the site to be deployed as the deployment location of the site to be deployed, the location of the location of the center of gravity

^ fitValue_i χ. ^ fitValue_i xy_t

The calculation formula is: χ = '~ ^, y =' ~ ^, where (^) is the position of the center of gravity

2^ jit Value_i jit Value_i Location coordinates, (^Χ&lt;·,) are the position coordinates of the sampling points in the grid, fi^tV It is the fitting value of the sampling point. Optionally, the method may further include: a filtering module, configured to filter the deployment location obtained by the determining module according to at least one of the following principles to obtain the filtered location of the site to be deployed: based on the limited condition Screening, screening based on special area isolation or screening based on traffic distribution.

It may also include: a priority selection module, used to determine the macro cell to which the site to be deployed obtained by the screening module belongs; to determine the optimal number of accesses to the home macro cell; according to the index of each site to be deployed Value, select the same number of sites as the optimal access number for deployment.

It may further include: a simulation module, used to simulate the communication performance before and after the deployment site, and if the comparison simulation result satisfies the set condition, the location where the Relay is to be deployed is determined as the final actual deployment location.

Optionally, the preference selection module is specifically used for:

The macro cells to which the sampling points in the grid of the site to be deployed belong belong to a set of candidate macro cells;

Calculate the SINR between the location of the center of gravity within the grid of the site to be deployed and each macro cell in the set of candidate macro cells;

Determine the home macro cell according to the SINR value and the number of sites that each macro cell in the candidate macro cell set has accessed;

Perform capacity simulation on each home macro cell when accessing different numbers of sites to obtain capacity simulation results corresponding to different numbers of sites;

The number of stations when the capacity simulation result meets the set conditions is determined as the optimal number of access. The station in this embodiment may be a relay node or a small base station. For the specific process of each module, please refer to the content in the above method.

In this embodiment, by dividing the grid to the area where the relay node or the small base station is to be deployed and sampling the points in the grid, the grid that needs to deploy the relay node or the small base station is determined according to the index value obtained from the sampling, and The position of the center of gravity of the sampling point in the grid where the relay node or small cell needs to be deployed is determined as the deployment location of the relay node or small cell, and the automatic selection of the site of the relay node or small cell can be achieved.

In addition, the present invention also provides a grid selection method, see FIG. 10, including:

Step 101: Collect signals from sampling points in each grid, the grid is obtained by dividing the area to be analyzed of the site to be deployed;

It may be that, for each grid, the points in the grid are sampled at intervals of the map resolution to obtain multiple signal index values for each sampling point.

Step 102: Determine the grid of the site to be deployed according to the collected signal index value.

It may be that the fitting value of each sampling point is obtained according to the multiple signal indicator values;

Obtaining the index value of the corresponding grid according to the fitting value of each sampling point, where the index value of the grid includes the RSRP value of the grid and the SINR value of the grid;

If the RSRP value of the grid is between the set minimum threshold and the maximum threshold, and the SINR value of the grid is greater than the set threshold, it is determined that the grid is a grid requiring a site deployment.

Correspondingly, the present invention also provides a grid selection device, as shown in FIG. 11, which includes an acquisition module 111 and a determination module 112; the acquisition module 111 is used to acquire signals from sampling points in each grid. The grid is obtained by dividing the area to be analyzed of the site to be deployed; the determining module 112 is used to determine the grid of the site to be deployed according to the collected signal index value.

It may be that the collection module is specifically configured to correspond to each grid and sample the points in the grid at intervals of the map resolution to obtain multiple signal index values for each sampling point;

The determining module is specifically configured to obtain the fitting value of each sampling point according to the multiple signal index values; and obtain the index value of the corresponding grid according to the fitting value of each sampling point, the index value of the grid includes The RSRP value of the grid and the SINR value of the grid; if the RSRP value of the grid is between the set minimum threshold and the maximum threshold, and the SINR value of the grid is greater than the set threshold, then determine The grid is the grid that needs to be deployed.

The above site may be a relay node or a small base station.

This embodiment can realize the determination of the grid that needs to deploy a site, and provide a cornerstone for subsequent site deployment. Those of ordinary skill in the art may understand that all or part of the steps to implement the above method embodiments may be completed by program instructions related hardware. The foregoing program may be stored in a computer-readable storage medium, and when the program is executed, The steps of the above method embodiments are included; and the foregoing storage media include: ROM, RAM, magnetic disk, or optical disk and other various media that can store program codes.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than limiting them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still Modifications to the technical solutions described in the foregoing embodiments, or equivalent replacements to some of the technical features; and these modifications or replacements do not deviate from the scope of the technical solutions of the embodiments of the present invention.