WO2012027905A1

WO2012027905A1 - Method and system for automatically optimizing adjacent cells

Info

Publication number: WO2012027905A1
Application number: PCT/CN2010/076615
Authority: WO
Inventors: 尹建华; 吴远江
Original assignee: 中兴通讯股份有限公司
Priority date: 2010-09-03
Filing date: 2010-09-03
Publication date: 2012-03-08

Abstract

A method for automatically optimizing adjacent cells is disclosed by the present invention. The method includes the following steps: according to the adjacent cell configuration in manner of polling and scheduling, and the statistics of performance results, performing automatic adjacent cell optimization on the candidate Second-Generation (2G) adjacent cells out of the Third-Generation (3G) cell to be optimized. A system for automatically optimizing adjacent cells is also disclosed by the present invention. The adjacent cell automatic optimization unit in the system is used to perform automatic adjacent cell optimization on the candidate 2G adjacent cells out of the 3G cell to be optimized, according to the adjacent cell configuration in manner of polling and scheduling, and the statistics of performance results. The application of the method and system of the present invention provides an effective solution to the problem of adjacent cell automatic optimization for handover from the 3G system to 2G system.

Description

Method and system for automatically optimizing neighboring area

The present invention relates to a wireless network optimization technology in the field of communications, and in particular, to a method and system for automatically optimizing a neighboring cell when switching between a 3G network and a 2G network system. Background technique

In complex network optimization work, neighborhood optimization takes up a large amount of work. The so-called neighboring area optimization means that after the network is opened, it is necessary to continuously add the neighboring area and delete the redundant neighboring area according to the actual situation. As neighboring area optimization is usually one of the important means to improve network performance indicators, improving the efficiency of processing neighboring areas is of great significance for rapidly optimizing the network, and the improvement of work efficiency depends largely on whether it has expertise. means.

In the existing 3G system, for example, the special technical means available for the optimization of the neighboring area in the Universal Mobile Telecommunications System (UMTS) is the detection set, and the neighboring area optimization can be performed by the statistical result of the measurement set measurement, and the effect is obvious. However, when it comes to the 2G neighboring area outside the 3G system, such as the optimization of the neighboring area of the Global System for Mobile Communications (GSM), since the 2G system does not have the technical means such as the detection set, the corresponding measurement and statistics cannot be directly obtained. As a result, the neighboring area optimization when switching from the 3G system to the 2G system lacks a relatively efficient technical means. Due to the performance problems often caused by the configuration problem of the 2G neighboring area, the optimization of the neighboring area of the 2G neighboring area is imperative. If the switching performance indicators of all 2G neighboring areas outside the 3G system can be counted, then the most suitable 2G neighbors are selected. The area will greatly improve the network performance, but it is impossible to configure all 2G neighboring areas and obtain statistical indicators due to factors such as the number of 2G neighboring areas. Therefore, the neighboring area is automatically optimized for switching between 3G systems and 2G systems. There is no valid solution. Summary of the invention

In view of this, the main object of the present invention is to provide a method and system for automatically optimizing a neighboring cell, which provides an effective solution for the problem of automatic neighborhood optimization when switching between a 3G system and a 2G system.

In order to achieve the above object, the technical solution of the present invention is achieved as follows:

A method for automatically optimizing a neighboring cell, the method comprising: performing optimization of an automatic neighboring cell for a candidate 2G neighboring cell outside the 3G cell based on a polling scheduling neighboring cell configuration and performance result statistics.

The method further includes: selecting the to-be-optimized 3G cell;

The selecting the to-be-optimized 3G cell specifically includes: selecting the to-be-optimized 3G cell according to the statistical performance data; wherein, the statistical performance data specifically includes: an average daily 3G of each 3G cell in a preset time period The number of handover attempts to 2G, and the average success rate of 3G to 2G per day for each 3G cell in a preset period of time.

When the preset time period is 7 days, the number of handover attempts is specifically N, and the corresponding threshold is specifically NO; the handover success rate is specifically P, and the corresponding threshold is specifically P0; The 3G cell specifically includes: if N > N0 P < P0, the 3G cell whose statistical performance data is N > NO and P < P0 is selected as the 3G cell to be optimized.

The performing the automatic neighboring area optimization specifically includes: calculating a polling period according to the neighboring area configuration relationship of the existing 2G neighboring area outside the 3G cell to be optimized, and setting a polling principle; The candidate 2G neighboring cell is configured for polling scheduling, and the performance result is statistically analyzed; the comprehensive performance analysis is performed according to the statistical performance result, and the optimization result of adding and/or deleting the neighboring zone configuration relationship is obtained, and/or the priority of the neighboring zone configuration relationship is adjusted. Optimization Results.

The optimization result of obtaining the addition and/or deletion of the neighboring area configuration relationship includes: performing comprehensive analysis according to the statistical performance result, and obtaining an optimal 2G neighboring area from the candidate 2G neighboring area; Excellent 2G neighboring zone, performing the neighboring zone configuration relationship of the existing 2G neighboring zone Adding and/or deleting, obtaining an optimization result of adding and/or deleting the neighboring configuration relationship.

When the polling period is specifically the number of scheduling rounds, the calculating the polling period is specifically: calculating the number of scheduling rounds;

The calculation formula used to calculate the number of scheduling rounds is specifically: R = ( TA ) / ( SA ); where R is the number of scheduling rounds; T is the 2G neighbor of the current 3G cell to be optimized for polling scheduling The size of the set of regions; A is the size of the existing 2G neighbor set of the 3G cell to be optimized; S is the threshold of the number of 2G neighbors that can be configured for the current 3G cell to be optimized, and S>A.

The setting polling principle is specifically: setting a polling principle based on the R determination;

When the number of expected scheduling rounds corresponding to the R is specifically R0, the setting of the polling principle based on the R determination includes: if R<=R0, the setting can perform polling scheduling; if R>R0, it cannot be performed. For the polling scheduling, a part of the 2G neighboring cells in the existing 2G neighboring cell set needs to be deleted to meet the time requirement of the polling scheduling.

A system for automatically optimizing a neighboring area, the system comprising: a neighboring area automatic optimization unit, configured to perform polling-based neighboring area configuration, and performance result statistics, to optimize a candidate 2G neighboring area outside the 3G cell for automatic neighboring area optimization.

The neighboring area automatic optimization unit further includes: a 3G cell selection module to be optimized, configured to select the to-be-optimized 3G cell according to the statistical performance data; wherein the statistical performance data specifically includes: The average number of 3G to 2G handover attempts per day for each 3G cell in the time period, and the average 3G to 2G handover success rate per 3G cell per day for a preset period of time.

The neighboring area automatic optimization unit further includes: a polling principle setting module, a polling scheduling and statistics module, an analysis and an optimization result obtaining module;

a polling principle setting module, configured to calculate a polling period according to the neighboring zone configuration relationship of the existing 2G neighboring area outside the 3G cell to be optimized, and set a polling principle; a polling scheduling and statistics module, configured to perform polling scheduling configuration on the candidate 2G neighboring area according to the polling principle, and perform statistical performance results;

The analysis and optimization result obtaining module is configured to perform comprehensive analysis according to the statistical performance result, obtain an optimization result of adding and/or deleting the neighboring configuration relationship, and/or an optimization result of the priority adjustment of the neighboring configuration relationship.

The invention is based on the polling scheduling neighboring zone configuration and the performance result statistics, and optimizes the candidate neighboring 2G neighboring area outside the 3G small area to perform automatic neighborhood optimization.

The invention provides an efficient and automatic solution for the problem of automatic neighborhood optimization when switching from 3G system to 2G system. DRAWINGS

1 is a flowchart of selecting a 3G cell to be optimized according to Example 1 of the present invention;

2 is a flow chart of obtaining a candidate 2G neighbor set of a 3G cell to be optimized according to Embodiment 2 of the present invention. Detailed ways

The basic idea of the present invention is: based on the polling scheduling neighboring cell configuration and the performance result statistics, the candidate neighboring 2G neighboring cells outside the 3G cell are optimized for automatic neighboring cell optimization.

The implementation of the technical solution will be further described in detail below with reference to the accompanying drawings.

A method for automatically optimizing a neighboring area, the method mainly comprising the following contents:

Based on the polling scheduling neighboring cell configuration and performance statistics, the candidate 2G neighboring cells outside the 3G cell are optimized for automatic neighboring cell optimization.

Further, selecting the to-be-optimized 3G cell includes: selecting a 3G cell to be optimized according to performance data of the background statistics. The candidate 2G neighboring area outside the 3G cell to be optimized needs to perform neighboring area optimization, that is, on the basis of the existing 2G neighboring area, it is necessary to add the missing 2G neighboring area and/or delete the redundant 2G neighboring area. Further, the performing the automatic neighboring area optimization according to the polling scheduling neighboring area configuration and the performance statistics result includes: calculating a polling period according to the neighboring area configuration relationship of the existing 2G neighboring area outside the 3G cell to be optimized, and setting a round The principle of the query is: the network management performs the polling scheduling configuration on the candidate 2G neighboring area according to the polling principle, and statistically performs the performance result; performs comprehensive analysis according to the statistical performance result, and obtains the optimization result of adding and/or deleting the neighboring area configuration relationship, and/ Or the optimization result of the priority adjustment of the neighboring zone configuration relationship.

Further, the comprehensive analysis is performed according to the statistical performance result, and the optimization result of adding and/or deleting the neighboring configuration relationship includes: performing comprehensive analysis according to the statistical performance result, and obtaining an optimal 2G neighbor from the candidate 2G neighboring area. The area, according to the obtained optimal 2G neighboring area, adds and/or deletes the neighboring area configuration relationship of the existing 2G neighboring area to obtain an optimization result of adding and/or deleting the neighboring area configuration relationship.

In summary, the present invention is based on the existing 2G neighboring cell configuration. In the preset time range, it is considered that the 2G neighboring area in the network outside the 3G cell to be optimized is effective in the network management. Then, based on the preset time period range, the performance results of all 2G neighbor interval switching are counted. Due to the large range of neighboring areas, the configuration of all 2G neighbors may not be completed at one time. Therefore, consider performing the performance statistics by gradually configuring the relevant 2G neighbors by polling until the handover performance statistics of all 2G neighbors are completed. Finally, according to the statistical performance results, the 2G neighboring areas in the existing network configuration (existing 2G neighboring area configuration) and the redundant 2G neighboring areas are analyzed, and the neighboring area relationship adjustment proposal is generated. In other words, consider setting the polling principle for polling neighboring zone configuration, and comprehensively analyzing the statistical performance results of 2G neighboring interval switching according to the polling principle, adding the missing 2G neighboring zone relationship, and deleting redundant The 2G neighbor relationship is configured so that the 2G neighboring area outside the 3G cell to be optimized is always in the most reasonable state, and the automatic neighboring area optimization of the candidate 2G neighboring area outside the 3G cell to be optimized is implemented. It can be seen that, with the present invention, when a system of a 3G network, such as UMTS, is switched to a 2G network system, such as GSM, the neighboring area addition and optimization is automatic and efficient, and the suitable 2G neighboring area can be automatically found as a candidate for the 3G cell to be optimized. 2G neighboring area, thus improving the switching of 3G system to 2G system Change to power.

The invention is illustrated by way of example below.

Example 1: Select a 3G cell to be optimized, and the preset time range is 7 days. As shown in Figure 1, the following steps are included:

Step 101: Obtain an average daily 3G of each 3G cell in the last 7 days from the network management database.

→ 2G switching attempts N and switching success rate P.

Step 102, ^J3⁄4f^N>N0 JLP<P0, if yes, execute step 103; otherwise, perform step 104.

Step 103: The 3G cell with the statistical performance data of N>N0 and P<P0 is selected as the 3G cell to be optimized, and the 3G cell to be optimized is added to the polling scheduling operation list of the neighboring area, and the currently selected 3G cell to be optimized is selected. Process.

Step 104: For a 3G cell whose statistical performance data is not N>N0 and P<P0, the neighboring area polling scheduling operation is not performed, and the current process of selecting the 3G cell to be optimized is ended.

Example 2: Acquire a candidate 2G neighbor set for the 3G cell to be optimized. As shown in Figure 2, the following steps are included:

Step 201: Obtain all 2G neighboring cells within a range of 5 km from each selected 3G cell to be optimized.

Step 202: Determine whether there is a 2G neighboring cell with the same frequency as the BSIC in the 2G neighboring area. If yes, go to step 203; otherwise, go to step 205.

Step 203: Delete the one of the 2G neighboring cells with the same frequency and the BSIC with the strongest signal level, and delete the other, and output the prompt to the user.

Step 204: Output a 2G neighboring cell set to be polled, and end the process of acquiring the candidate 2G neighboring cell set of the 3G cell to be optimized.

Step 205: If no processing is performed, the process of acquiring the candidate 2G neighboring cell set of the 3G cell to be optimized is ended. Method embodiment:

The method embodiment includes the following steps:

Step 301: For each 3G cell, the 3G to 2G handover performance data of each day in the last 7 days is extracted through the network management database, and averaged within 7 days.

Here, the handover performance data includes two parts: one is the number of handover attempts of the 3G-2G handover, and the other is the handover success rate of the 3G-2G handover. The average of these two types of data in seven days is N and P, respectively. If the thresholds corresponding to N and P are NO and P0, respectively, if the 3G cell is used as the 3G cell to be optimized, and only if N>N0 and P<P0, it is necessary to optimize the 2G neighboring cell. The selected sets of 3G cells to be optimized are recorded as S-3G.

Step 302: For each cell C-3G in the S-3G, record that the existing 2G neighbor set is N-2G- ACTIVE, and the set size is A. A is the size of the existing 2G neighboring set of the 3G cell to be optimized.

Here, all the 2G neighborhoods within 5 km of the C-3G circle are obtained, and the set is recorded as N-2G-TEMP.

If there is no cell with the same frequency as BSIC in S-2G_TEMP, then N-2G_TARGET = N 2G TEMP, where N-2G_TARGET is the set of 2G neighbors that need to be scheduled.

If N-2G_TEMP has cells with the same frequency and BSIC, select the cell with the strongest signal level in these cells, remove the other 2G neighbors, and the remaining cells are N-2G-TARGET. The output message prompts the user to pay attention.

In general, N-2G-TARGET is a superset of N-2G- ACTIVE. The so-called superset is a relative subset. For example, the collection of people is a superset of men's collections.

In addition, the size of the N-2G-TARGET set is denoted as T. Τ is the size of the 2G neighbor set that needs to be polled for the current 3G cell to be optimized.

Step 303: In order to complete the polling scheduling of all 2G candidate neighbors in a limited time, the user needs to set the desired number of scheduling rounds R0. Here, it is assumed that the number of 2G neighbors that can be configured for each 3G cell to be optimized is limited to S, and S is the threshold of the number of 2G neighbors that can be configured for the current 3G cell to be optimized. According to the agreement, S is a maximum of 32, and S can also be a fixed value such as 25, specifying S>A. According to the S value and the T value and the A value, the required number of scheduling rounds R can be calculated as: R = ( TA ) / ( SA ).

Here, the polling principle based on the R decision includes: if R <= R0, the polling scheduling can be performed; if 1 > 1 0, the polling scheduling cannot be scheduled, and the part in the N-2G- ACTIVE needs to be deleted. The 2G neighboring area meets the time requirements for polling scheduling.

Here, it is assumed that the number of neighbors to be deleted is D. To complete the scheduling according to the R0 round, the value rule of D is: D=(T-A)/R0-(S-A).

Step 304: For the 3G cell that needs to perform the 2G neighboring cell deletion in the N-2G- ACTIVE, delete the D lower priority 2G neighboring cells by using the ranking rule. The size of the N-2G-active set becomes A2, where A2=A-D. For each 3G cell, the values of T, A, A2, and D may be different. The values of R0 and S are consistent for each cell.

Here, the 2G neighbor priority setting can refer to any of the following two principles: Principle 1:

Al. Count the success rate of each 3G cell and its 2G neighboring cell, and normalize it according to (single-pair relationship switching success rate/switching success rate with all other neighboring cells) *100 calculation (calculated by 100-point system).

Bl, count the number of handover attempts of each cell and its neighbors, filter out the cell with the number of handover attempts to 0, normalize, and calculate according to (one-to-one relationship switch number/number of all neighbors) *100.

Cl, adding the above two steps of al and bl, and then sorting, the lower the score, the lower the priority of the neighbor, and the more it should be deleted.

Principle 2:

A2. If the number of handover attempts is less than the threshold, the priority is the lowest. B2. If the number of handover attempts is greater than the threshold, sort according to the handover success rate.

Step 305: Schedule a candidate 2G neighboring cell through the network management system. After a large number of candidate 2G neighbors are generated, it is impossible to import all the NMSs. The NMS needs to implement automatic batch scheduling to add and delete all candidate 2G neighbors.

Here, the network management first creates the first batch of candidate 2G neighbors, including creating the neighbor relationship and the external cell information at the same time. After the first batch of candidate 2G neighbors is created for a certain period of time (the time can be set, after the round is scheduled) The time period is changed during subsequent scheduling. The network management automatically deletes the candidate 2G neighbor relationship and starts to create the second candidate 2G neighbor relationship, and so on, until all candidate 2G neighbors are created and deleted. Again.

At the same time, during the automatic scheduling execution of the candidate 2G neighboring area, the performance measurement function of the network management cell pair level (including the candidate neighboring area and the allocated neighboring area) needs to be turned on, and the switching performance data between the cells is recorded.

The maximum number of candidate 2G neighbors per batch is S-A2.

Step 306: After the R0 polling is completed, all candidate 2G neighboring cells are already in the network, and there is a certain handover record statistics. According to these handover record statistics, combined with the priority ranking rule of the 2G neighboring cell, an optimal 2G neighbor list can be obtained.

Specifically, the neighboring area mismatch refers to the neighboring area relationship in which the switching relationship actually occurs, but the neighboring area is not configured, and the neighboring area missing is likely to cause a high dropped call rate and a low switching success rate. Increase the neighborhood. The neighboring area redundancy refers to the neighboring area relationship in which the switching relationship does not occur. The neighboring area redundancy may cause unnecessary terminal measurement load, which may result in handover failure or even dropped calls. The neighboring area needs to be deleted. The above priority adjustment is mainly used for the retention priority of the cropping when the neighboring area is merged, and the priority can be adjusted.

Here, the algorithm for generating neighborhood adjustment suggestions is as follows:

1) After all the candidate neighboring areas are scheduled, the switching performance data of this period is derived from the network management, and the switching performance statistics before the optimization are combined, and the sorting analysis is performed together. 2) The user selects the target cell C to be optimized, sets the maximum number of different system neighboring cells allowed by the C cell, and other optional conditions (such as the number of handover requests, handover success rate, etc.) and the priority setting principle (may be With the method of step 304, the best neighbor list of the C cell based on the handover data is obtained, and the length is L.

3) Compared with the pre-optimization 2G neighboring set N-2G- ACTIVE, the 2G neighboring area may be added and deleted, so as to achieve the 2G neighboring area discovery and optimization. The output neighbor relationship optimization proposal can be directly imported into the network management to achieve automatic optimization of the neighbor relationship.

An application example based on the above method embodiment is as follows:

Steps 401 and 4: There are 300 3G cells in the whole network. Through the statistical data of the network management within 7 days, the cells with average 3G to 2G handover attempts greater than 100 times and the average handover success rate less than 70% are selected for optimization. Assume that the result of the selection is 100 3G cells to be optimized.

Step 402: A cell C exists in 100 3G cells, and the C cell currently has 15 2G neighboring cells, with a C cell as a center and a radius of 5 kilometers. There are 75 candidate 2G neighboring cells in the area, and there is no same The frequency is the same as that of BSIC. Then A=15, T=75.

Step 403: It is assumed that the expected number of scheduling rounds is 4 rounds, and each round of 5 days, a total of 20 days is required to complete the 2G neighboring area scheduling of all 3G cells. In each round of scheduling, the maximum 2G neighbor configuration number of 3G cell C is 25, that is, R0=4, S=25. Then the actual number of scheduled rounds is calculated as R = ( 75-15 ) / ( 25-15 ) = 6. Since R>R0, it is necessary to first crop the current 2G neighboring area to make the A value smaller.

Step 404: Calculate the number of cuts to be D= (75-15) /4_ (25-15) = 5. That is, A2=A-D=15-5=10. According to principle 1 of the 2G neighbor priority setting described above, the last 5 2G neighbors of the comprehensive ranking can be excluded.

Step 405: Perform scheduling of the network management neighboring area. Assume that the 15 original 2G neighbors of the C cell are arranged in descending order of priority (Al, A2, ... A10, All, ... A15).

After deleting the last five neighbors, 10 reserved neighbors are obtained (Al, A2, ... A10). The 75 candidate neighbors are (Al, A2, ... A10, All, ... A15, Bl, B2, ... B60).

Then, the 60 neighboring areas (B, B2, ... B60) can be scheduled in 4 batches. The target cell set for each batch of scheduling is:

Batch 1: (Al, Α2, ... A10, Bl, Β2, ...... B15);

Batch 2: (Al, Α2, ... A10, B16, B17, ... Β30);

Batch 3: (Al, Α2, ... A10, B31, Β32, ...... Β45);

Batch 4: (Al, Α2, ... A10, Β46, Β47, ...... Β60).

Step 406, 20 days later, all cells complete the neighboring area scheduling, and collect 3G-2G handover performance statistics. The data in these 20s are analyzed together with the switching performance data existing before optimization. According to the average number of handover requests, the average handover success rate, etc., the priority calculation rule is set, and all 2G neighbors are scored and arranged in descending order. Suppose the top 30 2G neighbors are (Al, Α2, ... A10, Bl, Β2, ... B15, All, A12, ... A15).

If L is 20, then the final 3G cell C optimized 2G neighbor list is:

(Al, A2, ... A10, Bl, B2, ... B10).

If L is 25, the final 3G cell C optimized 2G neighbor list is:

(Al, A2, ... A10, Bl, B2, ... B15).

The above neighboring area is imported into the network management system and configured for delivery. This implements the automatic optimization function of the 2G neighboring area of the C cell.

In summary, the present invention performs the polling scheduling on the candidate 2G neighboring cell, and collects the optimal 2G neighboring cell by counting the switching performance of the candidate 2G neighboring cell in a period of time, and increases the existing 2G neighboring cell list. The effective scheme of deletion and deletion has a greater auxiliary effect on the automatic optimization of the adjacent zone of 3G→2G handover.

A system for automatically optimizing a neighboring area, the system comprising: a neighboring area automatic optimization unit, and a neighboring area automatic optimization unit is configured to optimize a candidate 2G neighbor outside the 3G cell based on a polling scheduled neighboring area configuration and performance result statistics The area performs automatic neighborhood optimization. Here, the neighboring area automatic optimization unit further includes: a 3G cell selection module to be optimized, and the 3G cell selection module to be optimized is used to select a 3G cell to be optimized according to the statistical performance data. The statistical performance data specifically includes: an average of 3G to 2G handover attempts per 3G cell in a preset time period, and an average daily 3G to 2G of each 3G cell in a preset time period. Switch the success rate.

Here, the neighboring area automatic optimization unit further includes: a polling principle setting module, a polling scheduling and statistics module, an analysis and an optimization result obtaining module. The polling principle setting module is configured to calculate a polling period according to the neighboring zone configuration relationship of the existing 2G neighboring area outside the 3G cell to be optimized, and set a polling principle. The polling scheduling and statistics module is configured to perform polling scheduling configuration on the candidate 2G neighboring cells according to the polling principle, and perform statistical performance results. The analysis and optimization result acquisition module is configured to perform comprehensive analysis based on the statistical performance results, obtain optimization results of adding and/or deleting neighboring configuration relationships, and/or optimization results of priority adjustment of neighboring configuration relationships.

The above is only the preferred embodiment of the present invention and is not intended to limit the scope of the present invention.

Claims

Claim

A method for automatically optimizing a neighboring cell, the method comprising: optimizing a neighboring 2G neighboring area outside the 3G cell to perform automatic neighboring area optimization based on a polling scheduling neighboring cell configuration and performance result statistics.

2. The method according to claim 1, wherein the method further comprises: selecting the 3G cell to be optimized;

The method according to claim 2, wherein, when the preset time period is 7 days, the number of handover attempts is specifically N, and the corresponding threshold is specifically NO; the handover success rate is specifically P , the corresponding threshold is specifically P0;

The selecting the 3G cell to be optimized specifically includes: if N > N0 P < P0, the 3G cell whose statistical performance data is N > NO and P < P0 is selected as the 3G cell to be optimized.

The method according to claim 1, wherein the performing the automatic neighboring cell optimization comprises: calculating a polling period according to the neighboring zone configuration relationship of the existing 2G neighboring cell outside the 3G cell to be optimized, Setting a polling principle; performing polling scheduling configuration on the candidate 2G neighboring area according to the polling principle, and performing statistical performance results; performing comprehensive analysis according to statistical performance results, and obtaining optimization results of adding and/or deleting neighboring configuration relationships , and/or the optimization result of the priority adjustment of the neighboring configuration relationship.

The method according to claim 4, wherein obtaining an optimization result of adding and/or deleting the neighboring configuration relationship comprises: performing comprehensive analysis according to statistical performance results, and obtaining from the candidate 2G neighboring area Optimum 2G neighboring area; adding and/or deleting the neighboring cell configuration relationship of the existing 2G neighboring cell according to the obtained optimal 2G neighboring cell, and obtaining the neighboring zone matching The optimization result of adding and/or deleting relationships.

The method according to claim 5, wherein, when the polling period is specifically the number of rounds, the calculating the polling period is specifically: calculating the number of scheduling rounds;

The method according to claim 6, wherein the setting polling principle is specifically: setting a polling principle based on the R determination;

8. A system for automatically optimizing a neighboring area, the system comprising: a neighboring area automatic optimization unit, configured to perform polling-based scheduling neighboring area configuration, and performance result statistics, to optimize candidate 2G outside the 3G cell The neighborhood is optimized for automatic neighborhood.

The system according to claim 8, wherein the neighboring area automatic optimization unit further comprises: a to-be-optimized 3G cell selection module, configured to select the to-be-optimized 3G cell according to statistical performance data; The statistical performance data specifically includes: an average of 3G to 2G handover attempts per 3G cell in a preset time period, and an average daily 3G to 2G of each 3G cell in a preset time period. Switch the success rate.

The system according to claim 8, wherein the neighboring area automatic optimization unit further comprises: a polling principle setting module, a polling scheduling and statistics module, and an analysis and optimization result obtaining module;

a polling principle setting module, configured to: according to the existing 2G neighboring area outside the 3G cell to be optimized The neighboring zone configuration relationship, calculate the polling period, and set the polling principle;

The polling scheduling and statistics module is configured to perform polling scheduling configuration on the candidate 2G neighboring area according to the polling principle, and perform statistical performance results;