WO2016184141A1 - 一种邻区优化方法及装置、计算机存储介质 - Google Patents

一种邻区优化方法及装置、计算机存储介质 Download PDF

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Publication number
WO2016184141A1
WO2016184141A1 PCT/CN2016/070723 CN2016070723W WO2016184141A1 WO 2016184141 A1 WO2016184141 A1 WO 2016184141A1 CN 2016070723 W CN2016070723 W CN 2016070723W WO 2016184141 A1 WO2016184141 A1 WO 2016184141A1
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cell
neighboring
parameter
target
optimization
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PCT/CN2016/070723
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English (en)
French (fr)
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陈云霄
王连臣
张立
韩治
周康磊
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中兴通讯股份有限公司
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Publication of WO2016184141A1 publication Critical patent/WO2016184141A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition

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  • the present invention relates to the field of communications technologies, and in particular, to a neighboring cell optimization method and apparatus, and a computer storage medium.
  • Neighbor optimization is an important part of wireless network optimization. If the neighboring area is set incorrectly, it will cause problems such as increased interference, frequent dropped calls, and low connection rate, which seriously affects the user experience.
  • the road test By using the Global Positioning System (GPS), the specific location of the problem can be accurately reflected and the network information such as dropped calls, congestion, and interference can be reflected.
  • GPS Global Positioning System
  • the second is to call the test. By analyzing the connection status and the quality of the call by the tester's subjective assessment, the network problem is analyzed. Although it effectively compensates for the limited limitations of the road test range, there are also a large amount of investment in personnel, vehicles and equipment, which is costly and time consuming. Suitable for solving complaints from key customers.
  • an embodiment of the present invention provides a neighboring area optimization method and apparatus, and a computer storage medium, which are used to solve the problem that the network neighboring area optimization cannot be easily and accurately performed in the prior art.
  • the embodiment of the present invention provides a neighboring cell optimization method, including: acquiring cell configuration parameters in a neighboring cell optimization range; determining, according to the cell configuration parameter, that each cell is relative to a target within the neighboring cell optimization range The neighboring cell priority indicating parameter of the cell; the neighboring cell of the target cell is selected in the cell according to the neighboring cell priority indicating parameter, so that the number of neighboring cells of the target cell is equal to a preset threshold.
  • the cell configuration parameter includes a cell engineering parameter and a user behavior parameter.
  • determining, according to the cell configuration parameter, that the neighboring cell priority indication parameter of each cell relative to the target cell is: determining the designated cell according to the user behavior parameter.
  • the neighboring priority indicator of the neighboring cell is set to level 1.
  • the cell engineering parameter it is determined that the neighboring cell priority indicating parameter of the shared cell of the target cell is level 2 within the optimized range of the neighboring cell;
  • the priority indicated by the neighboring area indication parameter is successively decremented from level 1 to back.
  • determining, according to the cell configuration parameter, that the neighboring cell priority indication parameter of each cell relative to the target cell is further included in the neighboring cell optimization range, according to the cell engineering parameter, Determining a cell distance between each cell and the target cell within the optimization range of the neighboring cell; determining, according to the cell distance, the neighboring cell priority indication parameter of each cell is 3.1 to 3.9.
  • the cell configuration parameter further includes a number of times of switching between each cell and the target cell in a preset time; and determining, according to the cell configuration parameter, that the neighboring area is within an optimized range,
  • the neighboring cell priority indication parameter of the cell relative to the target cell includes: determining, according to the number of the switching times, the neighboring cell priority indication parameter of each cell is 4.1 to 4.9.
  • the method further includes: dividing the cell in the neighboring cell optimization range into the same frequency cell with the same working frequency as the target cell, the working frequency and the target Different inter-frequency cells in the cell, indoor cells located indoors, and outdoor cells located in the outdoor; determining, according to the cell configuration parameters, a neighboring cell priority indication of each cell relative to the target cell in the optimized range of the neighboring cell
  • the parameter includes: determining, in each type of cell after the classification, a neighboring priority indication parameter of each cell in each type of cell relative to the target cell according to the cell configuration parameter, where the parameter is indicated according to the neighboring priority
  • Selecting the neighboring cell of the target cell in the cell includes: selecting a neighboring cell of the target cell in a cell of a preset class according to the neighboring cell priority indication parameter.
  • the method further includes: selecting the neighbor The area is compared with the original neighboring area of the target cell, and the original neighboring area of the target cell is added or deleted according to the comparison result.
  • the embodiment of the present invention further provides a neighboring cell optimization apparatus, including: an acquiring unit, configured to acquire a cell configuration parameter in a range optimization range of a neighboring cell; and a determining unit configured to determine, according to the cell configuration parameter, In the neighborhood optimization range, the neighboring cell priority indication parameter of each cell relative to the target cell; the selecting unit is configured to select the target cell in the each cell according to the neighboring cell priority indication parameter a neighboring area, such that the number of neighboring cells of the target cell is equal to a preset threshold.
  • a neighboring cell optimization apparatus including: an acquiring unit, configured to acquire a cell configuration parameter in a range optimization range of a neighboring cell; and a determining unit configured to determine, according to the cell configuration parameter, In the neighborhood optimization range, the neighboring cell priority indication parameter of each cell relative to the target cell; the selecting unit is configured to select the target cell in the each cell according to the neighboring cell priority indication parameter a neighboring area, such that the number of neighboring cells of the target cell is equal to
  • the cell configuration parameter includes a cell engineering parameter and a user behavior parameter.
  • the determining unit is further configured to: determine, according to the user behavior parameter, a neighboring cell priority indication parameter of the designated cell to be level 1; and determine, according to the cell engineering parameter, the neighboring node In the area optimization area, the neighboring cell priority indication parameter of the co-site cell of the target cell is level 2; wherein the priority indicated by the neighboring area indication parameter is backward by level 1 Sub-declining.
  • the determining unit is further configured to: determine, according to the cell engineering parameter, a cell distance between each cell and the target cell in the optimized range of the neighboring cell; From near to far, determining the neighboring priority indication parameter of each cell is from 3.1 to 3.9.
  • the cell configuration parameter further includes a number of times of switching between each cell and the target cell in a preset time; the determining unit is further configured to determine, according to the number of times of the switching,
  • the neighboring priority indication parameters of each cell are 4.1 to 4.9.
  • the neighboring area optimization apparatus further includes: a classification unit configured to determine, within the optimized range of the neighboring area, according to the cell configuration parameter after acquiring a cell configuration parameter in a range optimization range of the neighboring area Before the neighboring cell priority indicating parameter of each cell is compared with the target cell, the cell in the neighboring cell optimization range is divided into the same frequency cell whose working frequency is the same as the target cell, and the working frequency is different from the target cell.
  • a classification unit configured to determine, within the optimized range of the neighboring area, according to the cell configuration parameter after acquiring a cell configuration parameter in a range optimization range of the neighboring area Before the neighboring cell priority indicating parameter of each cell is compared with the target cell, the cell in the neighboring cell optimization range is divided into the same frequency cell whose working frequency is the same as the target cell, and the working frequency is different from the target cell.
  • the inter-frequency cell, the indoor cell located indoors, and the outdoor cell located in the outdoor; the determining unit is further configured to determine, according to the cell configuration parameter, each cell in each type of cell in each of the classified cells.
  • the neighboring cell priority indicating parameter of the target cell; the selecting unit is further configured to: select, according to the neighboring cell priority indicating parameter, a neighboring cell of the target cell in a preset class of cells.
  • the neighboring cell optimization apparatus further includes a comparing unit configured to select the neighboring cell and the target after selecting a neighboring cell of the target cell in each of the cells. Comparing the original neighboring cells of the cell, the original neighboring cell of the target cell is added or deleted according to the comparison result.
  • an embodiment of the present invention further provides a computer storage medium.
  • the computer storage medium provided by the embodiment of the present invention stores a computer program, where the computer program is used to execute the neighboring area optimization method.
  • the neighboring area optimization method and device and the computer storage medium provided by the embodiments of the present invention can obtain And determining, according to the cell configuration parameter, a neighboring cell priority indicating parameter of each cell relative to the target cell according to the cell configuration parameter; and then, according to the neighboring cell priority And indicating a parameter, selecting a neighboring cell of the target cell in each of the cells, so that the number of neighbor cells of the target cell is equal to a preset threshold. In this way, it is possible to determine whether each cell can become a neighboring cell of the target cell according to the neighboring cell priority indication parameter of each cell, and to conveniently and accurately optimize the network neighboring cell.
  • FIG. 1 is a flowchart of a neighboring cell optimization method according to an embodiment of the present invention
  • FIG. 2 is another flowchart of a neighboring cell optimization method according to an embodiment of the present invention.
  • FIG. 3 is a schematic structural diagram of a neighboring cell optimization apparatus according to an embodiment of the present invention.
  • an embodiment of the present invention provides a neighboring cell optimization method, including:
  • the neighboring cell optimization method can obtain the cell configuration parameter in the optimization range of the neighboring cell, and determine, according to the cell configuration parameter, that the neighboring cell of each cell is prior to the target cell within the optimized range of the neighboring cell. And indicating a parameter of the neighboring cell, and selecting a neighboring cell of the target cell in the cell according to the neighboring cell priority indicating parameter, so that the number of neighboring cells of the target cell is equal to a preset threshold. In this way, it is possible to determine the parameters according to the neighboring priority of each cell. Determine whether each cell can become the neighboring cell of the target cell, and easily and accurately optimize the network neighborhood.
  • the cell configuration parameter may include a cell engineering parameter and a user behavior parameter.
  • the cell engineering parameter records some basic information when the base station and the cell are set, and can be used to determine whether any two cells are a co-site cell, a co-frequency or an inter-frequency, and a distance between two cells.
  • the user behavior parameter refers to some user-defined or operation of the cell configuration.
  • the user can list the neighboring whitelist and the neighboring blacklist. Among them, the neighboring whitelist can list the number of occurrences of switching, but the neighboring areas with important switching relationships (such as highways, high-speed railways, etc.) are included. When the system is doing neighborhood optimization analysis, it will not propose deletions for these neighboring areas.
  • neighboring areas that are prone to ping-pong switching, over-coverage, and signal interference, they can be included in the blacklist of neighboring areas that cannot be set up in the neighboring area.
  • the system will not change the number of times when it performs neighboring area optimization analysis. Higher and recommended to increase. If such a neighbourhood is already configured on the live network, a proposal for deletion will be made.
  • determining, according to the cell configuration parameter, that the neighboring cell priority indication parameter of each cell relative to the target cell may include:
  • the priority indicated by the neighboring indication parameter is decremented from the first level to the second.
  • the target cell is the cell 8
  • the user behavior parameters acquired in step S11 are the neighboring whitelist and the neighboring blacklist.
  • the neighboring whitelist includes the cell 78 and the cell 56
  • the neighboring blacklist includes the 121 cell.
  • the neighboring cell priority indication parameter of the cell 78, the cell 56, and the cell 121 determined according to the user behavior parameter with respect to the target cell cell 8 is level 1.
  • the cell engineering parameter acquired in step S11 further includes the base station number to which each cell belongs, wherein the cell 42, the cell 15, the cell 9 and the cell 8 belong to the same base station, and the neighboring areas of the cell 42, the cell 15, and the cell 9 are prioritized.
  • the level indication parameter is set to level 2.
  • the neighboring cell of the target cell is selected in the cells according to the neighboring cell priority indication parameter, so that the number of neighbor cells of the target cell is equal to a preset threshold.
  • the preset threshold of the number of neighboring cells of the target cell 6 is 2, the cell 78 and the cell 56 whose neighboring cell priority indication parameter is level 1 is listed as a neighboring cell, and the cell 121 Listed as non-contiguous areas. If the preset threshold of the number of neighboring cells of the target cell 8 is 5, the cell 78, the cell 56, and the neighboring cell with the neighboring priority indicating parameter of the level 2 are the level 42 and the cell And the cell 9 is listed as a neighboring area. If the preset threshold of the number of neighboring cells of the target cell 6 is 4, then two of the cells whose neighboring priority indicating parameter is level 2 may be selected as the neighboring cell.
  • step S12 according to the cell configuration parameter, determining a neighboring cell of each cell relative to the target cell according to the neighboring cell optimization range
  • the priority indication parameters may also include:
  • the neighboring priority indication parameter of each cell is determined to be 3.1 to 3.9 according to the distance of the cell from near to far.
  • the cell engineering parameter includes the cell distance between each cell and the target cell 6 , where the cell distance between the cell 1 and the cell 8 is 15 meters, and the cell distance between the cell 2 and the cell 8 is 100 meters, and the cell 3 and the cell 8 are The cell distance is 60 meters, and the cell distance between cell 4 and cell 8 is 500 meters.
  • the neighboring cell priority indication parameter of the cell 1 is 3.1
  • the neighboring cell priority indicating parameter of the cell 2 is 3.3
  • the neighboring cell priority indicating parameter of the cell 3 is 3.2.
  • the neighboring cell priority indication parameter of cell 4 is 3.9.
  • the neighboring priority indication may be continued.
  • the cells with parameters of 3.1, 3.2, etc. are also sequentially included in the neighboring cells of the target cell. It should be noted that adjacent The distance between the two levels may be equal or unequal, and may be set according to actual needs, and the embodiment of the present invention is not limited thereto.
  • the cell configuration parameter may include, in addition to the cell engineering parameter and the user behavior parameter, the number of times of switching between each cell and the target cell in a preset time;
  • the number of handovers can be obtained by an event type measurement report.
  • the event-based measurement report may be specifically formed by the UE continuously measuring downlink reception level, reception quality, and reception level of the neighboring cell during the call, and transmitting the information through the uplink. Send to the base station, summarize by the base station, and output a complete measurement report.
  • determining, according to the cell configuration parameter, that the neighboring cell priority indication parameter of each cell relative to the target cell may include: At least, determining the neighboring priority indication parameter of each cell is 4.1 to 4.9. In this way, the cell with a large number of handovers indicates that the cell has a relatively frequent service handover with the target cell, and the neighboring cell priority indication parameter of the cell may be set to a higher priority, and vice versa.
  • the cell with the highest level is preferentially used as the neighboring cell of the target cell, and the sample missing, mismatching, and mutual matching can be measured at multiple frequencies, thereby being simple and precise. Perform network neighborhood optimization.
  • the neighboring cell in order to perform a more detailed neighborhood configuration on the target cell, in an embodiment of the present invention, after acquiring the cell configuration parameter in the optimization range of the neighboring cell, determining, according to the cell configuration parameter, The neighboring cell is in the range of the neighboring cell, and the cell in the neighboring cell optimization range is divided into the same working frequency as the target cell. a frequency cell, an inter-frequency cell whose working frequency is different from the target cell, an indoor cell located indoors, and an outdoor cell located outdoors;
  • the neighboring cell priority indication parameter of each cell with respect to the target cell includes: determining, in each type of cell after classification, a neighboring cell priority indication parameter of each cell in each type of cell relative to the target cell according to the cell configuration parameter ;
  • Selecting the neighboring cell of the target cell in the cell according to the neighboring cell priority indicating parameter includes: selecting, according to the neighboring cell priority indicating parameter, the selected cell in the preset category The neighborhood of the target cell.
  • a preset number of co-frequency neighboring cells, inter-frequency neighboring cells, indoor neighboring cells, and outdoor neighboring cells can be selected for the target cell, thereby more effectively achieving neighbor cell optimization of the target cell.
  • the method further includes: selecting the neighbor The area is compared with the original neighboring area of the target cell, and the original neighboring area of the target cell is added or deleted according to the comparison result.
  • the neighboring area optimization planning template table can be generated according to the format of the user template. The subsequent network optimization engineers can directly use the optimization result to automatically adjust the existing neighboring area configuration, and no need to manually modify one by one.
  • the cell engineering parameters and the black and white list of the matching cell are periodically imported for different neighborhood optimization ranges, and the event type measurement report collected in real time is analyzed according to the wireless optimized configuration parameters collected at the time. Finally, the analysis results are presented to the user in a visual manner such as tables and legends, and a solidification saving function is provided for later viewing.
  • the method may include the following steps:
  • S201 Import the cell engineering parameters of the neighborhood optimization range. If the cell engineering parameters have not changed, the step may be performed once.
  • S203 Collect existing neighbor configuration parameters periodically.
  • the relationship between the base station, the primary cell, and the neighboring cell can be as shown in Table 1.
  • the Server eNodeBID is the serving base station identifier
  • the Server CellID is For the serving cell identity
  • the Neighbor CellID is the neighbor cell identifier
  • the Neighbor eNodeBID is the corresponding neighbor base station identifier.
  • S204 Collect event-type measurement reports in real time, and perform real-time or periodic analysis according to user requirements.
  • step S205 According to the cell engineering parameter, the cells in the target area are classified into four types according to the same frequency, different frequency, indoor, and outdoor, and step S206 to step S208 are sequentially performed for each type.
  • S206 According to whether it exists in the blacklist or whitelist, whether it is a co-site cell, and the distance between the cell pairs is near and far, and setting a neighboring cell priority indication parameter for each cell, indicating that each cell becomes a neighboring cell Priority.
  • S208 Sort the neighboring cell priority indication parameters of the cell. If the same cell appears in multiple priority rankings, select the one with the highest priority as the description of the primary neighbor relationship.
  • S209 According to the threshold number of each type of neighboring cells set by the user, and the requirements for attributes such as distance and switching, combine the results of the four data sets after performing S208, and give the primary neighbor according to the priority and the threshold. Suggestions for additions and deletions to the relationship, including which neighboring areas have been missed, and which neighboring areas have been mismatched. If there is an interoperability requirement in some target areas, then the neighborhood optimization proposal under the interworking requirement is given.
  • step S210 The neighboring area addition and deletion suggestions analyzed in step S209 are presented to the user in the form of a table and a geographical legend, and can distinguish the same frequency, the indoor and outdoor neighboring areas.
  • an embodiment of the present invention further provides a neighboring area optimization apparatus, including:
  • the obtaining unit 31 is configured to acquire a cell configuration parameter in a neighboring area optimization range
  • the determining unit 32 is configured to determine, according to the cell configuration parameter, a neighboring priority indication parameter of each cell relative to the target cell in the optimized range of the neighboring cell;
  • the selecting unit 33 is configured to select a neighboring cell of the target cell in the cells according to the neighboring cell priority indicating parameter, so that the number of neighboring cells of the target cell is equal to a preset threshold.
  • the acquiring unit 31 can obtain the cell configuration parameter in the neighborhood optimization range, and the determining unit 32 can determine, according to the cell configuration parameter, that the cell is in the optimized range of the neighboring cell, a neighboring cell priority indicating parameter of the target cell; the selecting unit 33 can select a neighboring cell of the target cell in the neighboring cell according to the neighboring cell priority indicating parameter, so that the neighboring cell of the target cell The number is equal to the preset threshold. In this way, it is possible to determine whether each cell can become a neighboring cell of the target cell according to the neighboring cell priority indication parameter of each cell, and to conveniently and accurately optimize the network neighboring cell.
  • the cell configuration parameter may include a cell engineering parameter and a user behavior parameter.
  • the determining unit 32 is further configured to:
  • the priority indicated by the neighboring indication parameter is decremented from the first level to the second.
  • the determining unit 32 is further configured to:
  • the neighboring priority indication parameter of each cell is determined to be 3.1 to 3.9 according to the distance of the cell from near to far.
  • the cell configuration parameter further includes a number of times of switching between the cell and the target cell in a preset time; the determining unit 32 is further configured to determine the number according to the number of the switching times.
  • the neighboring priority indication parameters of each cell are from 4.1 to 4.9.
  • the neighboring area optimization apparatus may further include: a classification unit configured to: after acquiring the cell configuration parameter in the optimization range of the neighboring area, determine, according to the cell configuration parameter, the optimization in the neighboring area In the range, before the neighboring cell priority indicating parameter of each cell relative to the target cell, the cell in the neighboring cell optimization range is divided into the same frequency cell whose working frequency is the same as the target cell, the working frequency and the target a different inter-frequency cell in the cell, an indoor cell located in the indoor area, and an outdoor cell located in the outdoor; the determining unit 32 is further configured to: in each type of the classified cell, determine each cell in each type of cell according to the cell configuration parameter The neighboring cell priority indicating parameter with respect to the target cell; the selecting unit 33 is further configured to select the neighboring cell of the target cell in the cell of the preset class according to the neighboring cell priority indicating parameter.
  • a classification unit configured to: after acquiring the cell configuration parameter in the optimization range of the neighboring area, determine, according to the cell configuration parameter, the
  • the neighboring cell optimization apparatus may further include: a comparing unit configured to select the neighboring cell and the target cell after selecting the neighboring cell of the target cell in each of the cells Compared with the original neighboring area, the original neighboring area of the target cell is added or deleted according to the comparison result.
  • each unit in the neighboring area optimization apparatus may be implemented by a central processing unit (CPU) or a microprocessor (Micro Processor Unit, MPU) located in the neighboring area optimization apparatus. ), or a digital signal processor (DSP), or a Field Programmable Gate Array (FPGA).
  • CPU central processing unit
  • MPU Micro Processor Unit
  • DSP digital signal processor
  • FPGA Field Programmable Gate Array
  • the apparatus for tracking the service signaling may also be stored in a computer readable storage medium if it is implemented in the form of a software function module and sold or used as a separate product.
  • the technical solution of the embodiments of the present invention may be embodied in the form of a software product in essence or in the form of a software product stored in a storage medium, including a plurality of instructions.
  • a computer device (which may be a personal computer, server, or network device, etc.) is caused to perform all or part of the methods described in various embodiments of the present invention.
  • the foregoing storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read only memory (ROM), a magnetic disk, or an optical disk.
  • program codes such as a USB flash drive, a mobile hard disk, a read only memory (ROM), a magnetic disk, or an optical disk.
  • the embodiment of the present invention further provides a computer storage medium, wherein a computer program is stored, and the computer program is used to execute the neighboring area optimization method of the embodiment of the present invention.
  • the technical solution of the embodiment of the present invention can obtain the cell configuration parameter in the optimization range of the neighboring cell, and determine, according to the cell configuration parameter, the neighboring cell priority indication parameter of each cell relative to the target cell in the optimized range of the neighboring cell. Then, the neighboring cell of the target cell is selected in the cells according to the neighboring cell priority indicating parameter, so that the number of neighboring cells of the target cell is equal to a preset threshold. In this way, it is possible to determine whether each cell can become a neighboring cell of the target cell according to the neighboring cell priority indication parameter of each cell, and to conveniently and accurately optimize the network neighboring cell.

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Abstract

本发明公开了一种邻区优化方法及装置、计算机存储介质，包括：获取邻区优化范围内的小区配置参数；根据所述小区配置参数，确定在所述邻区优化范围内，各小区相对于目标小区的邻区优先级指示参数；根据所述邻区优先级指示参数，在所述各小区中选出所述目标小区的邻区，以使所述目标小区的邻区数目等于预设阈值。

Description

一种邻区优化方法及装置、计算机存储介质 技术领域
本发明涉及通信技术领域，特别是涉及一种邻区优化方法及装置、计算机存储介质。
背景技术
邻区优化是无线网络优化工作中的重要环节。如果邻区设置不当，会导致干扰增大、频繁掉话、接通率低等问题，严重影响用户体验。
传统的邻区优化方法主要有三种，一种是路测，通过借助全球定位***(GPS，Global Positioning System)可以精确问题的具体地点及反映网络信息，如掉话、拥塞、干扰等。但是，路测范围有限，难以展开全网精细化邻区优化工作，而且耗费大量人力、物力，效率比较低。其二，是拨打测试。通过记录接通情况和测试者主观评估的通话质量来分析网络问题，虽然有效弥补了路测范围受限的缺陷，但是同样存在人员、车辆、设备的大量投入，成本高，耗时长问题，仅适用于解决重点客户的投诉。第三，是根据现网中采集到的服务小区和邻区的切换尝试次数，切换成功次数等数据，判断已上报的邻区是否合理，并给出是否可删除建议，但无法给出新增邻区建议。
如何简便精确进行网络邻区优化，现有技术并无有效的方案。
发明内容
为解决上述技术问题，本发明实施例提供了一种邻区优化方法及装置、计算机存储介质，用以解决现有技术中无法简便精确进行网络邻区优化的问题。
一方面，本发明实施例提供一种邻区优化方法，包括：获取邻区优化范围内的小区配置参数；根据所述小区配置参数，确定在所述邻区优化范围内，各小区相对于目标小区的邻区优先级指示参数；根据所述邻区优先级指示参数，在所述各小区中选出所述目标小区的邻区，以使所述目标小区的邻区数目等于预设阈值。
在本发明一实施方式中，所述小区配置参数包括小区工程参数和用户行为参数。
在本发明一实施方式中，根据所述小区配置参数，确定在所述邻区优化范围内，各小区相对于目标小区的邻区优先级指示参数包括：根据所述用户行为参数，确定指定小区的邻区优先级指示参数为1级；根据所述小区工程参数，确定在所述邻区优化范围内，所述目标小区的共站小区的邻区优先级指示参数为2级；其中，所述邻区指示参数指示的优先级由1级向后依次递减。
在本发明一实施方式中，所述根据所述小区配置参数，确定在所述邻区优化范围内，各小区相对于目标小区的邻区优先级指示参数还包括：根据所述小区工程参数，确定在所述邻区优化范围内，各小区与所述目标小区的小区距离；根据所述小区距离由近及远，确定所述各小区的邻区优先级指示参数为3.1级至3.9级。
在本发明一实施方式中，所述小区配置参数还包括预设时间内各小区与所述目标小区的切换次数；所述根据所述小区配置参数，确定在所述邻区优化范围内，各小区相对于目标小区的邻区优先级指示参数包括：根据所述切换次数由多到少，确定所述各小区的邻区优先级指示参数为4.1级至4.9级。
在本发明一实施方式中，所述获取邻区优化范围内的小区配置参数之后，所述根据所述小区配置参数，确定在所述邻区优化范围内，各小区相 对于目标小区的邻区优先级指示参数之前，所述方法还包括：将所述邻区优化范围内的小区，分为工作频率与所述目标小区相同的同频小区，工作频率与所述目标小区不同的异频小区，位于室内的室内小区以及位于室外的室外小区；所述根据所述小区配置参数，确定在所述邻区优化范围内，各小区相对于目标小区的邻区优先级指示参数包括：在分类后的每类小区中，分别根据所述小区配置参数，确定每类小区中各小区相对于目标小区的邻区优先级指示参数；所述根据所述邻区优先级指示参数，在所述各小区中选出所述目标小区的邻区包括：根据所述邻区优先级指示参数，在预设类别的小区中选出所述目标小区的邻区。
在本发明一实施方式中，所述根据所述邻区优先级指示参数，在所述各小区中选出所述目标小区的邻区之后，所述方法还包括：将选出的所述邻区与所述目标小区的原有邻区相比较，根据比较结果对所述目标小区的原有邻区进行增加或删除。
另一方面，本发明实施例还提供一种邻区优化装置，包括：获取单元，配置为获取邻区优化范围内的小区配置参数；确定单元，配置为根据所述小区配置参数，确定在所述邻区优化范围内，各小区相对于目标小区的邻区优先级指示参数；选出单元，配置为根据所述邻区优先级指示参数，在所述各小区中选出所述目标小区的邻区，以使所述目标小区的邻区数目等于预设阈值。
在本发明一实施方式中，所述小区配置参数包括小区工程参数和用户行为参数。
在本发明一实施方式中，所述确定单元，还配置为：根据所述用户行为参数，确定指定小区的邻区优先级指示参数为1级；根据所述小区工程参数，确定在所述邻区优化范围内，所述目标小区的共站小区的邻区优先级指示参数为2级；其中，所述邻区指示参数指示的优先级由1级向后依 次递减。
在本发明一实施方式中，所述确定单元，还配置为：根据所述小区工程参数，确定在所述邻区优化范围内，各小区与所述目标小区的小区距离；根据所述小区距离由近及远，确定所述各小区的邻区优先级指示参数为3.1级至3.9级。
在本发明一实施方式中，所述小区配置参数还包括预设时间内各小区与所述目标小区的切换次数；所述确定单元，还配置为根据所述切换次数由多到少，确定所述各小区的邻区优先级指示参数为4.1级至4.9级。
在本发明一实施方式中，所述邻区优化装置还包括分类单元，配置为在获取邻区优化范围内的小区配置参数之后，根据所述小区配置参数，确定在所述邻区优化范围内，各小区相对于目标小区的邻区优先级指示参数之前，将所述邻区优化范围内的小区，分为工作频率与所述目标小区相同的同频小区，工作频率与所述目标小区不同的异频小区，位于室内的室内小区以及位于室外的室外小区；所述确定单元，还配置为在分类后的每类小区中，分别根据所述小区配置参数，确定每类小区中各小区相对于目标小区的邻区优先级指示参数；所述选出单元，还配置为根据所述邻区优先级指示参数，在预设类别的小区中选出所述目标小区的邻区。
在本发明一实施方式中，所述邻区优化装置还包括比较单元，配置为在所述各小区中选出所述目标小区的邻区之后，将选出的所述邻区与所述目标小区的原有邻区相比较，根据比较结果对所述目标小区的原有邻区进行增加或删除。
另一方面，本发明实施例还提供一种计算机存储介质，本发明实施例提供的计算机存储介质存储有计算机程序，该计算机程序用于执行上述邻区优化方法。
本发明实施例提供的邻区优化方法及装置、计算机存储介质，能够获 取邻区优化范围内的小区配置参数，并根据所述小区配置参数确定在所述邻区优化范围内，各小区相对于目标小区的邻区优先级指示参数；然后根据所述邻区优先级指示参数，在所述各小区中选出所述目标小区的邻区，以使所述目标小区的邻区数目等于预设阈值。这样，就能够根据各小区的邻区优先级指示参数来确定每个小区是否能成为目标小区的邻区，简便精确进行网络邻区优化。
附图说明
图1是本发明实施例提供的邻区优化方法的一种流程图；
图2是本发明实施例提供的邻区优化方法的另一种流程图；
图3是本发明实施例提供的邻区优化装置的一种结构示意图。
具体实施方式
以下结合附图对本发明实施例进行详细说明。应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不限定本发明。
如图1所示，本发明实施例提供一种邻区优化方法，包括：
S11，获取邻区优化范围内的小区配置参数；
S12，根据所述小区配置参数，确定在所述邻区优化范围内，各小区相对于目标小区的邻区优先级指示参数；
S13，根据所述邻区优先级指示参数，在所述各小区中选出所述目标小区的邻区，以使所述目标小区的邻区数目等于预设阈值。
本发明实施例提供的邻区优化方法，能够获取邻区优化范围内的小区配置参数，并根据所述小区配置参数确定在所述邻区优化范围内，各小区相对于目标小区的邻区优先级指示参数；然后根据所述邻区优先级指示参数，在所述各小区中选出所述目标小区的邻区，以使所述目标小区的邻区数目等于预设阈值。这样，就能够根据各小区的邻区优先级指示参数来确 定每个小区是否能成为目标小区的邻区，简便精确进行网络邻区优化。
在本发明一实施方式中，在步骤S11中，所述小区配置参数可包括小区工程参数和用户行为参数。其中，小区工程参数记录了设置基站和小区时的一些基本信息，可以用于判断任意两个小区之间是否是共站小区，同频或异频，以及两个小区之间的距离等信息。而用户行为参数是指用户对小区配置的一些人为规定或操作，例如用户可以列出邻区白名单和邻区黑名单。其中，邻区白名单可以将切换发生次数较少，但是切换关系较重要的邻区(如高速公路、高速铁路沿线等)列入。***在做邻区优化分析时，将不会对这些邻区提出删除建议。同理，对于一些容易发生乒乓切换、过覆盖、信号干扰等邻区，可以将其列入不可设邻区的邻区黑名单，***在做邻区优化分析时，将不会因为其切换次数较高而建议增加。如果现网已配置此类邻区，将提出删除建议。
具体的，在步骤S12中，根据所述小区配置参数，确定在所述邻区优化范围内，各小区相对于目标小区的邻区优先级指示参数可包括：
根据所述用户行为参数，确定指定小区的邻区优先级指示参数为1级；
根据所述小区工程参数，确定在所述邻区优化范围内，所述目标小区的共站小区的邻区优先级指示参数为2级；
其中，所述邻区指示参数指示的优先级由1级向后依次递减。
举例说明，在本发明的一个实施例中，目标小区为小区8，在步骤S11中获取的用户行为参数为邻区白名单和邻区黑名单。其中，邻区白名单包括小区78和小区56，邻区黑名单包括121小区。则，根据用户行为参数确定的小区78、小区56和小区121相对于目标小区小区8的邻区优先级指示参数为1级。在步骤S11中获取的小区工程参数还包括各小区所属的基站编号，其中，小区42、小区15、小区9和小区8属于同一个基站，则将小区42、小区15、小区9的邻区优先级指示参数设置为2级。
在步骤S13中，就可以根据所述邻区优先级指示参数，在所述各小区中选出所述目标小区的邻区，以使所述目标小区的邻区数目等于预设阈值。具体而言，本实施例中，如果目标小区小区8的邻区数目的预设阈值为2个，则将邻区优先级指示参数为1级的小区78、小区56列为邻区，小区121列为非邻区。如果目标小区小区8的邻区数目的预设阈值为5个，则将邻区优先级指示参数为1级的小区78、小区56以及邻区优先级指示参数为2级的小区42、小区15和小区9列为邻区。如果目标小区小区8的邻区数目的预设阈值为4个，则在邻区优先级指示参数为2级的小区中任选两个作为邻区即可。
为了进一步细化对目标小区的邻区设置，在本发明的一个实施例中，步骤S12中根据所述小区配置参数，确定在所述邻区优化范围内，各小区相对于目标小区的邻区优先级指示参数还可包括：
根据所述小区工程参数，确定在所述邻区优化范围内，各小区与所述目标小区的小区距离；
根据所述小区距离由近及远，确定所述各小区的邻区优先级指示参数为3.1级至3.9级。
例如，小区工程参数中包括各小区与目标小区小区8的小区距离，其中，小区1与小区8的小区距离为15米，小区2与小区8的小区距离为100米，小区3与小区8的小区距离为60米，小区4与小区8的小区距离为500米。则，根据所述小区距离由近及远，确定小区1的邻区优先级指示参数为3.1级，小区2的邻区优先级指示参数为3.3级，小区3的邻区优先级指示参数为3.2级，小区4的邻区优先级指示参数为3.9级。这样，当目标小区的邻区数目的预设阈值较大，邻区优先级指示参数为1级的小区和2级的小区的总和还不够该预设阈值时，可以继续将邻区优先级指示参数为3.1级、3.2级……的小区也依次纳入目标小区的邻区。需要说明的是，相邻的 两个级数之间的距离可以相等，也可以不等，可以根据实际需要进行设置，本发明的实施例对此不限。
在本发明一实施方式中，本发明的实施例中，小区配置参数除了包括小区工程参数和用户行为参数外，还可以包括预设时间内各小区与所述目标小区的切换次数；在本发明一实施方式中，该切换次数可以通过事件型测量报告得到。基于事件型测量报告具体可以通过如下方式形成：UE可以在通话过程中不断地进行下行链路的接收电平、接收质量、以及邻区的接收电平等进行测量，并通过上行链路将这些信息发送给基站，由基站进行汇总，输出完整的测量报告。
基于该切换次数，在步骤S12中，根据所述小区配置参数，确定在所述邻区优化范围内，各小区相对于目标小区的邻区优先级指示参数可包括：根据所述切换次数由多到少，确定所述各小区的邻区优先级指示参数为4.1级至4.9级。这样，切换次数多的小区说明该小区与目标小区存在较频繁的业务切换，可以将该小区的邻区优先级指示参数设置优先级较高，反之亦然。
上述实施例中，通过将各小区的邻区优先级指示参数划分级别，优先将级别高的小区作为目标小区的邻区，能够多频点测量样本漏配、错配、互配，从而简便精确进行网络邻区优化。
在本发明一实施方式中，为了对目标小区进行更细致的邻区配置，在本发明的一个实施例中，获取邻区优化范围内的小区配置参数之后，根据所述小区配置参数，确定在所述邻区优化范围内，各小区相对于目标小区的邻区优先级指示参数之前，还可包括：将所述邻区优化范围内的小区，分为工作频率与所述目标小区相同的同频小区，工作频率与所述目标小区不同的异频小区，位于室内的室内小区以及位于室外的室外小区；
基于此，所述根据所述小区配置参数，确定在所述邻区优化范围内， 各小区相对于目标小区的邻区优先级指示参数包括：在分类后的每类小区中，分别根据所述小区配置参数，确定每类小区中各小区相对于目标小区的邻区优先级指示参数；
所述根据所述邻区优先级指示参数，在所述各小区中选出所述目标小区的邻区包括：根据所述邻区优先级指示参数，在预设类别的小区中选出所述目标小区的邻区。
这样，就可以为目标小区分别选择预设数量的同频邻区、异频邻区、室内邻区、室外邻区，从而更有效地实现目标小区的邻区优化。
在本发明一实施方式中，所述根据所述邻区优先级指示参数，在所述各小区中选出所述目标小区的邻区之后，所述方法还包括：将选出的所述邻区与所述目标小区的原有邻区相比较，根据比较结果对所述目标小区的原有邻区进行增加或删除。另外，还可以根据用户模板设置格式，生成邻区优化规划模板表，后续网优工程师可以直接利用该优化结果，自动调节现有邻区配置，不再需要手动逐个修改。
下面通过具体实施例对本发明提供的邻区优化方法进行详细说明。
本实施例中，每天周期性为不同邻区优化范围导入配套的小区工程参数和黑白名单，根据定时采集到的无线优化配置参数，实时采集到的事件型测量报告进行分析。最后将分析结果以表格和图例等可视化方式呈现给用户，并提供固化保存功能，以备后续随时查看。具体可包括如下步骤：
S201：导入邻区优化范围的小区工程参数，如果小区工程参数没有发生变化，该步骤执行一次即可。
S202：导入邻区优化范围的黑白名单模板，与小区工程参数类似，如果使用期间没有发生变化，该步骤执行一次即可。
S203：定时采集现有的邻区配置参数。例如，基站、主小区和邻小区的关系可如表1所示。其中，Server eNodeBID为服务基站标识，Server CellID 为服务小区标识，Neighbor CellID为邻小区标识，Neighbor eNodeBID为对应的邻基站标识。
表1主邻小区关系表
Figure PCTCN2016070723-appb-000001
S204：实时采集事件型测量报告，并根据用户需求作实时或周期性分析。
S205：根据小区工程参数，将目标区域的小区按照同频、异频、室内、室外进行分类得到四种类型，对每种类型分别依次执行步骤S206至步骤S208。
S206：根据是否存在于黑名单或白名单中，是否是共站小区，以及小区对之间距离由近及远，为每个小区设置邻区优先级指示参数，指示每个小区成为邻区的优先程度。
S207：对数据集中的任意小区对，根据测量报告，计算小区对之间发生的切换次数及天平均切换测量值，由高到低为每个小区设置补充优先级指示参数，补充优先级指示参数的级别低于步骤S206中的邻区优先级指示参数。
S208：对小区的邻区优先级指示参数进行排序，如果有相同的小区在多次优先级排序中出现，选择优先级最高的一种作为该主邻关系的描述。
S209：根据使用者设定的每种类型的邻区个数门限，以及对距离、切换等属性的要求，合并四种数据集在执行S208后的结果，并依照优先级和门限给出主邻关系增删建议，包括哪些漏配了哪些邻区，错配了哪些邻区。 如果某些目标区域存在互配需求，则给出在互配要求下的邻区优化建议。
S210：将第S209步分析出来的邻区增删建议，以表格和地理图例的方式呈现给用户，并能够区分同异频，室内外的邻区。
相应的，如图3所示，本发明的实施例还提供一种邻区优化装置，包括：
获取单元31，配置为获取邻区优化范围内的小区配置参数；
确定单元32，配置为根据所述小区配置参数，确定在所述邻区优化范围内，各小区相对于目标小区的邻区优先级指示参数；
选出单元33，配置为根据所述邻区优先级指示参数，在所述各小区中选出所述目标小区的邻区，以使所述目标小区的邻区数目等于预设阈值。
本发明实施例提供的邻区优化装置，获取单元31能够获取邻区优化范围内的小区配置参数，确定单元32能够根据所述小区配置参数确定在所述邻区优化范围内，各小区相对于目标小区的邻区优先级指示参数；选出单元33能够根据所述邻区优先级指示参数，在所述各小区中选出所述目标小区的邻区，以使所述目标小区的邻区数目等于预设阈值。这样，就能够根据各小区的邻区优先级指示参数来确定每个小区是否能成为目标小区的邻区，简便精确进行网络邻区优化。
在本发明一实施方式中，所述小区配置参数可包括小区工程参数和用户行为参数。
在本发明一实施方式中，确定单元32，还配置为：
根据所述用户行为参数，确定指定小区的邻区优先级指示参数为1级；
根据所述小区工程参数，确定在所述邻区优化范围内，所述目标小区的共站小区的邻区优先级指示参数为2级；
其中，所述邻区指示参数指示的优先级由1级向后依次递减。
在本发明一实施方式中，确定单元32，还配置为：
根据所述小区工程参数，确定在所述邻区优化范围内，各小区与所述目标小区的小区距离；
根据所述小区距离由近及远，确定所述各小区的邻区优先级指示参数为3.1级至3.9级。
在本发明一实施方式中，所述小区配置参数还包括预设时间内各小区与所述目标小区的切换次数；确定单元32，还配置为根据所述切换次数由多到少，确定所述各小区的邻区优先级指示参数为4.1级至4.9级。
在本发明一实施方式中，所述邻区优化装置，还可包括分类单元，配置为在获取邻区优化范围内的小区配置参数之后，根据所述小区配置参数，确定在所述邻区优化范围内，各小区相对于目标小区的邻区优先级指示参数之前，将所述邻区优化范围内的小区，分为工作频率与所述目标小区相同的同频小区，工作频率与所述目标小区不同的异频小区，位于室内的室内小区以及位于室外的室外小区；确定单元32，还配置为在分类后的每类小区中，分别根据所述小区配置参数，确定每类小区中各小区相对于目标小区的邻区优先级指示参数；选出单元33，还配置为根据所述邻区优先级指示参数，在预设类别的小区中选出所述目标小区的邻区。
在本发明一实施方式中，邻区优化装置还可包括比较单元，配置为在所述各小区中选出所述目标小区的邻区之后，将选出的所述邻区与所述目标小区的原有邻区相比较，根据比较结果对所述目标小区的原有邻区进行增加或删除。
在实际应用中，所述邻区优化装置中的各个单元所实现的功能，均可由位于邻区优化装置中的中央处理器(Central Processing Unit，CPU)、或微处理器(Micro Processor Unit，MPU)、或数字信号处理器(Digital Signal Processor，DSP)、或现场可编程门阵列(Field Programmable Gate Array，FPGA)等实现。
本发明实施例上述业务信令跟踪的装置如果以软件功能模块的形式实现并作为独立的产品销售或使用时，也可以存储在一个计算机可读取存储介质中。基于这样的理解，本发明实施例的技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机、服务器、或者网络设备等)执行本发明各个实施例所述方法的全部或部分。而前述的存储介质包括：U盘、移动硬盘、只读存储器(ROM，Read Only Memory)、磁碟或者光盘等各种可以存储程序代码的介质。这样，本发明实施例不限制于任何特定的硬件和软件结合。
相应地，本发明实施例还提供一种计算机存储介质，其中存储有计算机程序，该计算机程序用于执行本发明实施例的邻区优化方法。
尽管为示例目的，已经公开了本发明的优选实施例，本领域的技术人员将意识到各种改进、增加和取代也是可能的，因此，本发明的范围应当不限于上述实施例。
工业实用性
本发明实施例的技术方案，能够获取邻区优化范围内的小区配置参数，并根据所述小区配置参数确定在所述邻区优化范围内，各小区相对于目标小区的邻区优先级指示参数；然后根据所述邻区优先级指示参数，在所述各小区中选出所述目标小区的邻区，以使所述目标小区的邻区数目等于预设阈值。这样，就能够根据各小区的邻区优先级指示参数来确定每个小区是否能成为目标小区的邻区，简便精确进行网络邻区优化。

Claims (15)

  1. 一种邻区优化方法，包括：
    获取邻区优化范围内的小区配置参数；
    根据所述小区配置参数，确定在所述邻区优化范围内，各小区相对于目标小区的邻区优先级指示参数；
    根据所述邻区优先级指示参数，在所述各小区中选出所述目标小区的邻区，以使所述目标小区的邻区数目等于预设阈值。
  2. 根据权利要求1所述的邻区优化方法，其中，所述小区配置参数包括小区工程参数和用户行为参数。
  3. 根据权利要求2所述的邻区优化方法，其中，根据所述小区配置参数，确定在所述邻区优化范围内，各小区相对于目标小区的邻区优先级指示参数包括：
    根据所述用户行为参数，确定指定小区的邻区优先级指示参数为1级；
    根据所述小区工程参数，确定在所述邻区优化范围内，所述目标小区的共站小区的邻区优先级指示参数为2级；
    其中，所述邻区指示参数指示的优先级由1级向后依次递减。
  4. 根据权利要求3所述的邻区优化方法，其中，所述根据所述小区配置参数，确定在所述邻区优化范围内，各小区相对于目标小区的邻区优先级指示参数还包括：
    根据所述小区工程参数，确定在所述邻区优化范围内，各小区与所述目标小区的小区距离；
    根据所述小区距离由近及远，确定所述各小区的邻区优先级指示参数为3.1级至3.9级。
  5. 根据权利要求3所述的邻区优化方法，其中，所述小区配置参数还包括预设时间内各小区与所述目标小区的切换次数；
    所述根据所述小区配置参数，确定在所述邻区优化范围内，各小区相对于目标小区的邻区优先级指示参数包括：
    根据所述切换次数由多到少，确定所述各小区的邻区优先级指示参数为4.1级至4.9级。
  6. 根据权利要求1至5中任一项所述的邻区优化方法，其中，所述获取邻区优化范围内的小区配置参数之后，所述根据所述小区配置参数，确定在所述邻区优化范围内，各小区相对于目标小区的邻区优先级指示参数之前，所述方法还包括：
    将所述邻区优化范围内的小区，分为工作频率与所述目标小区相同的同频小区，工作频率与所述目标小区不同的异频小区，位于室内的室内小区以及位于室外的室外小区；
    所述根据所述小区配置参数，确定在所述邻区优化范围内，各小区相对于目标小区的邻区优先级指示参数包括：
    在分类后的每类小区中，分别根据所述小区配置参数，确定每类小区中各小区相对于目标小区的邻区优先级指示参数；
    所述根据所述邻区优先级指示参数，在所述各小区中选出所述目标小区的邻区包括：
    根据所述邻区优先级指示参数，在预设类别的小区中选出所述目标小区的邻区。
  7. 根据权利要求1至5中任一项所述的邻区优化方法，其中，所述根据所述邻区优先级指示参数，在所述各小区中选出所述目标小区的邻区之后，所述方法还包括：
    将选出的所述邻区与所述目标小区的原有邻区相比较，根据比较结果对所述目标小区的原有邻区进行增加或删除。
  8. 一种邻区优化装置，包括：
    获取单元，配置为获取邻区优化范围内的小区配置参数；
    确定单元，配置为根据所述小区配置参数，确定在所述邻区优化范围内，各小区相对于目标小区的邻区优先级指示参数；
    选出单元，配置为根据所述邻区优先级指示参数，在所述各小区中选出所述目标小区的邻区，以使所述目标小区的邻区数目等于预设阈值。
  9. 根据权利要求8所述的邻区优化装置，其中，所述小区配置参数包括小区工程参数和用户行为参数。
  10. 根据权利要求9所述的邻区优化装置，其中，所述确定单元，还配置为：
    根据所述用户行为参数，确定指定小区的邻区优先级指示参数为1级；
    根据所述小区工程参数，确定在所述邻区优化范围内，所述目标小区的共站小区的邻区优先级指示参数为2级；
    其中，所述邻区指示参数指示的优先级由1级向后依次递减。
  11. 根据权利要求10所述的邻区优化装置，其中，所述确定单元，还配置为：
    根据所述小区工程参数，确定在所述邻区优化范围内，各小区与所述目标小区的小区距离；
    根据所述小区距离由近及远，确定所述各小区的邻区优先级指示参数为3.1级至3.9级。
  12. 根据权利要求10所述的邻区优化装置，其中，所述小区配置参数还包括预设时间内各小区与所述目标小区的切换次数；
    所述确定单元，还配置为根据所述切换次数由多到少，确定所述各小区的邻区优先级指示参数为4.1级至4.9级。
  13. 根据权利要求9至12中任一项所述的邻区优化装置，其中，还包括分类单元，配置为在获取邻区优化范围内的小区配置参数之后，根据所 述小区配置参数，确定在所述邻区优化范围内，各小区相对于目标小区的邻区优先级指示参数之前，将所述邻区优化范围内的小区，分为工作频率与所述目标小区相同的同频小区，工作频率与所述目标小区不同的异频小区，位于室内的室内小区以及位于室外的室外小区；
    所述确定单元，还配置为在分类后的每类小区中，分别根据所述小区配置参数，确定每类小区中各小区相对于目标小区的邻区优先级指示参数；
    所述选出单元，还配置为根据所述邻区优先级指示参数，在预设类别的小区中选出所述目标小区的邻区。
  14. 根据权利要求9至12中任一项所述的邻区优化装置，其中，还包括比较单元，配置为在所述各小区中选出所述目标小区的邻区之后，将选出的所述邻区与所述目标小区的原有邻区相比较，根据比较结果对所述目标小区的原有邻区进行增加或删除。
  15. 一种计算机存储介质，所述计算机存储介质中存储有计算机可执行指令，该计算机可执行指令配置为执行权利要求1-7任一项所述的邻区优化方法。
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