WO2011127789A1 - 一种无线通信网络邻区优化的方法及装置 - Google Patents

一种无线通信网络邻区优化的方法及装置 Download PDF

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Publication number
WO2011127789A1
WO2011127789A1 PCT/CN2011/072284 CN2011072284W WO2011127789A1 WO 2011127789 A1 WO2011127789 A1 WO 2011127789A1 CN 2011072284 W CN2011072284 W CN 2011072284W WO 2011127789 A1 WO2011127789 A1 WO 2011127789A1
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Prior art keywords
cell
neighboring
serving cell
path loss
frequency point
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PCT/CN2011/072284
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English (en)
French (fr)
Inventor
邱万彬
罗黎平
王凯
何冬梅
郑浩
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中兴通讯股份有限公司
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Priority to EP11768401.9A priority Critical patent/EP2560429A4/en
Priority to KR1020127027581A priority patent/KR20130057987A/ko
Publication of WO2011127789A1 publication Critical patent/WO2011127789A1/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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/20—Arrangements for detecting or preventing errors in the information received using signal quality detector
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/0005—Control or signalling for completing the hand-off
    • H04W36/0055—Transmission or use of information for re-establishing the radio link
    • H04W36/0061—Transmission or use of information for re-establishing the radio link of neighbour cell information

Definitions

  • the present invention relates to a wireless communication network optimization technique, and in particular, to a method and apparatus for optimizing a neighboring area of a wireless communication network. Background technique
  • the wireless communication networks require network planning, engineering construction, and network optimization from the initial stage of construction to the final maturity.
  • Network optimization is one of the important aspects. Network optimization specifically collects and analyzes the data of the already running network, finds out the reasons that affect the network quality, and then adjusts the frequency design, base station parameters, network structure, etc. to make the network reach the optimal running state and make network resources. Get the best utilization.
  • the neighboring area planning of the wireless communication network mainly determines the neighboring area relationship according to the distance between the cells and the cell coverage determined by the cell direction angle. Since the reference data based on the initial planning of the network cannot truly reflect the actual network operating environment, in order to improve the service quality of the network, network optimization needs to be performed, including neighboring area optimization.
  • Solution 2 Optimized based on the road test data; the shortcomings of the program are: The road test itself is time-consuming and labor-intensive, and the data collection can only be performed on a limited path, the data is incomplete, and the data volume is small.
  • Scheme 3 Switching between the serving cell and the neighboring cell of the existing network collected by the operation and maintenance center The number of attempts, the number of successful handovers, etc., to determine whether the neighboring zone relationship is reasonable. If it is unreasonable, consider deleting the neighboring zone relationship. The cell that does not have the neighbor relationship in the live network cannot be related to the performance data. Therefore, the shortcoming of this solution is that the deleted neighbors can only be given deletion suggestions, but the new neighbor suggestions cannot be given. Complete sense of neighborhood optimization.
  • the optimization of the neighboring area of the wireless communication network mainly relies on the performance data of the neighboring area switching to do part of the neighboring area optimization work (neighboring area deletion), and then the other part of the optimization is manually completed by the network engineer of the network planning network. Work (increased neighborhoods), this type of work is less efficient, and the accuracy of the optimization results is not high. Summary of the invention
  • the main object of the present invention is to provide a method for optimizing a neighboring area of a wireless communication network, so as to solve the problem of low efficiency and low accuracy of the neighboring area optimization mode of the existing wireless communication network.
  • the present invention provides a method for optimizing a neighboring cell of a wireless communication network, the method comprising: statistically calculating a level difference between a frequency point signal of a serving cell and a frequency signal of a neighboring cell in a neighboring cell within a period of time, and obtaining a level by a hierarchical cumulative count. a difference level sample number, and processing the number of the level difference level samples to obtain an interference indicator of the neighboring frequency point to the serving cell;
  • the road loss location algorithm is used to perform cell positioning on the neighboring frequency point, and the positioning cell of the neighboring frequency point is found;
  • the method before the calculating the level difference between the frequency signal of the serving cell and the frequency signal of the neighboring cell in the neighboring cell in a period of time, the method further includes:
  • the scheduling is configured by the broadcast control channel, and the frequency points not currently included in the neighbor relationship are added to the neighboring cell relationship of the serving cell, and the mobile station receives the signal of the serving cell to acquire the neighboring area.
  • the system receives the signal level of the serving cell and the level of the neighboring frequency signal in the neighbor relationship.
  • the statistical calculation calculates a level difference between a frequency signal of the serving cell and a frequency signal of any one of the neighboring cells in a period of time, and the cumulative count of the hierarchically obtained the number of the level difference level samples, and the level difference
  • the number of level samples is processed to obtain the interference indicator of the neighboring frequency point to the serving cell:
  • the statistical calculation calculates the level difference between the frequency signal of any neighboring cell and the signal of the serving cell frequency point in a period of time and stores the accumulated counts in stages to obtain at least one sample of the level difference level; the sum of the number of samples according to the level difference level Performing noise filtering to retain the number of level difference level samples of the neighboring frequency points characterizing the coverage relationship;
  • the condition of the noise filtering is SM ⁇ k * ⁇ SNi , and the SNi is the total number of samples of the frequency point, and the range of the k is [0.05, 0.3].
  • the curve-based truncation of the valid sample points is based on a normal distribution curve or a parabola based truncation.
  • the neighboring area relationship of the serving cell according to the interference indicator of the neighboring cell frequency point to the serving cell and the positioning cell is:
  • the positioning cell and the serving cell with the large interference index are configured as a neighbor relationship according to the interference indicator of each neighboring cell and the number of the configured cells of the neighboring cell and the serving cell.
  • the path loss location algorithm is used to perform cell location on the neighboring frequency point, and the location cell that finds the neighboring frequency point is:
  • the path loss value of the cell corresponding to the frequency of the neighboring cell is calculated separately, and the cell with the smallest path loss value in the cell corresponding to the frequency of the neighboring cell is obtained, and is used as the positioning cell of the neighboring cell.
  • the path loss location algorithm is:
  • f MHz in the path loss location formula is a frequency band value to which the cell belongs, and the frequency band value is 900 MHz or 1800 MHz; / (x) is an attenuation value of the antenna direction x direction.
  • the range of kl in the path loss location formula is [1, 2.5]
  • the range of k2 is [0.3, 0.9]
  • the range of k3 is [0.8, 1.5].
  • the present invention also provides a device for optimizing a neighboring cell of a wireless communication network, the device comprising: a data processing unit, configured to statistically calculate a level difference between a frequency signal of a serving cell and a frequency signal of a neighboring cell in a neighboring cell within a period of time
  • the hierarchical cumulative count obtains the number of level difference level samples and processes the number of the level difference level samples to obtain an interference indicator of the neighboring frequency point to the serving cell
  • the path loss positioning unit is configured to use the path loss location algorithm to the neighbor
  • the cell frequency point is used for cell positioning, and the location cell of the neighboring cell frequency point is found;
  • the neighboring area configuration unit is configured to configure a neighboring cell relationship of the serving cell according to the interference indicator of the neighboring cell frequency point to the serving cell and the positioning cell.
  • the data processing unit further includes: a noise filtering module, configured to perform noise filtering according to the total number of samples obtained by summing the number of samples of the level difference level, and retain the number of level difference level samples of the neighboring frequency points that represent the coverage relationship;
  • a weighted summation module configured to perform curve-based truncation on the number of level difference level samples obtained by the noise filtering module, obtain weights of the number of level difference level samples to perform weighted summation, and obtain a level difference level according to the level difference level
  • the sum of the weighted sample numbers that is, the interference indicator of the neighboring frequency signal to the serving cell.
  • the weighted summation module performs curve-based truncation on the valid sample points as a normal distribution based interception or a parabola based interception.
  • the neighboring cell configuration unit locates the interference indicator according to the interference indicator of the neighboring cell frequency point to the serving cell and the configured number of the positioning cell and the neighbor cell relationship cell of the serving cell.
  • the cell and the serving cell are configured as a neighbor relationship.
  • the path loss locating unit is configured to separately calculate a path loss value of the cell corresponding to the neighboring cell frequency point, and obtain a cell with the smallest path loss value in the cell corresponding to the neighboring cell frequency point and use the neighboring cell frequency point as the neighboring cell frequency point. Location of the cell.
  • the path loss locating unit further includes:
  • the interference cell table obtaining module is configured to search for a cell list with the same frequency point in the wireless communication network as the interference cell table;
  • the f MHz in the path loss location formula in the path loss location module is a frequency band value to which the cell belongs, and the frequency band value is 900 MHz or 1800 MHz; / (x) is an attenuation value of the antenna direction x direction, and k1 is taken
  • the range of values is [1, 2.5], and the range of k2 is [0.3, 0.9], k3 The value range is [0.8, 1.5].
  • the method for optimizing a neighboring cell of a wireless communication network is configured to configure a neighboring frequency signal of a buffer set by using a broadcast control channel (Broadcast Control CHannel Allocation, BCCH Allocation, BA, BCCH).
  • a broadcast control channel Broadcast Control CHannel Allocation, BCCH Allocation, BA, BCCH.
  • Level, statistical calculation and hierarchical cumulative count to obtain the number of levels difference level samples, the number of samples of the level difference level is obtained to obtain the interference index of the neighboring frequency point to the serving cell, and the path loss location algorithm is used to locate the path loss value in the adjacent frequency point.
  • the smallest 'J, the area is the positioning cell and then the neighboring area relationship configuration of the serving cell according to the interference indicator, which is not only efficient, but also the result of the neighboring area optimization is more accurate;
  • the method for optimizing the neighboring area of the wireless communication network provided by the present invention can actively perform the data collection processing, and find the problem in advance, and the efficiency is high.
  • the neighboring area optimization method of the invention reduces the manpower, financial resources, time and other costs of the road test, and the data collected by the BCCH configuration schedule can more comprehensively reflect the network condition. Therefore, the result of the optimization is more accurate.
  • FIG. 1 is a schematic flowchart of a method for optimizing a neighboring cell of a wireless communication network according to an embodiment of the present invention
  • FIG. 2 is a schematic structural diagram of a device for optimizing a neighboring cell of a wireless communication network according to an embodiment of the present invention
  • FIG. 3 is a serving cell according to an embodiment of the present invention
  • the direction of the antenna of the interfering cell is clockwise to the angle between the interfering cell and the serving cell.
  • the basic idea of the present invention is: statistically calculate the level difference between the frequency signal of the serving cell and the frequency signal of any of the neighboring cells in the neighboring area for a period of time, and obtain the number of levels difference level samples by the hierarchical cumulative counting, and the level is The difference level sample number is processed to obtain the interference index of the neighboring frequency point to the serving cell; the road loss location algorithm is used to perform cell positioning on the neighboring frequency point, and the neighboring frequency point is determined. And configuring a neighboring cell relationship of the serving cell according to the interference indicator of the neighboring cell frequency to the serving cell and the positioning cell.
  • FIG. 1 is a schematic flowchart of a method for optimizing a neighboring cell of a wireless communication network according to an embodiment of the present invention. As shown in FIG. 1, the method includes the following steps:
  • Step S101 statistically calculating a level difference between the neighboring region frequency point signal and the serving cell frequency point signal, and grading the accumulated level difference level sample number, and processing the interference indicator;
  • the BA scheduling of the entire network can be used to calculate the level of the neighboring frequency signal in a period of time (which can be determined according to the actual operation of the wireless communication network or according to the needs of the user), and the adjacent frequency signal is obtained.
  • the number of level difference level samples is at least one;
  • the BA scheduling of the entire network is performed, and the frequency points not currently included in the neighboring cell relationship of the serving cell are added to the neighboring cell relationship of the serving cell in batches, so the neighboring frequency points include the original non-neighbors.
  • Regional frequency point (usually, it takes one day for each batch of frequency points to be added to the neighboring area relationship in the BA scheduling, and it takes about one week to complete the entire BA scheduling), and the mobile station receives the serving cell.
  • the signal acquires the neighbor relationship, receives the level of the neighbor frequency signal and the level of the serving cell frequency signal in the neighbor relationship of the serving cell, and calculates the level difference between each frequency signal and the serving cell frequency signal.
  • c0 indicates the number of level difference level samples with a level difference of -10 dB or less
  • cl indicates a level.
  • the number of levels difference level samples of -10 ⁇ -9dB, and so on, c31 represents the number of level difference level samples with a level difference of 21 dB or more;
  • noise filtering is performed on the frequency point, and the number of level difference level samples capable of characterizing the adjacent region frequency of the coverage relationship is retained, at this time c0 ⁇ c31 Indicates the number of level difference level samples of the neighboring frequency points reserved after noise filtering, wherein the condition of the above noise filtering is SM ⁇ * ⁇ M, where SNi is the total number of samples of the frequency point, and the value range of k is [ 0.05,0.3];
  • the number of the level difference level samples obtained above is subjected to curve-based interception based on the level difference to the service d and the area interference condition to obtain the weight of the level difference level sample number, for example, the level difference can be expressed Small, that is, the number of level difference level samples with large interference to the serving cell is given a weight close to 1, while the level difference indicating that the level difference is large, that is, the number of level difference level samples with less interference to the serving cell is given a weight close to 0, but
  • the level difference level sample with the level difference in the middle section needs to be given the corresponding weight according to the shape of a certain curve that its own distribution follows.
  • curve-based interception methods which are based on straight line, parabola and positive respectively.
  • the interception of the state distribution curve is taken as an example to illustrate:
  • This method is characterized by simpler calculations and faster speeds, but in most cases the accuracy is slightly worse.
  • ⁇ and ⁇ can be adjusted by the user as needed (generally, the actual distribution of the data should be met, ⁇ corresponds to the distribution center of the data, and ⁇ corresponds to the concentration of the data).
  • the corresponding valid sample point weighted normalized summation function is:
  • Interfering ⁇ [y N * Ci] where Ci is the number of level difference level samples of valid sample points.
  • Interfering is the interference indicator of the neighboring frequency signal to the serving cell, and the larger the difference is, the larger the interference of the neighboring frequency to the serving cell is.
  • Step S102 Perform a cell location on the neighboring frequency signal by using a path loss location algorithm to obtain a positioning cell.
  • the path loss location algorithm is used to perform cell location on the neighboring cell frequency point of the interference indicator obtained in step S101, and the path loss value of the cell corresponding to the neighboring cell frequency point is calculated, and the cell with the smallest path loss value is obtained, and is used as the neighbor.
  • the location cell of the regional frequency point is used to perform cell location on the neighboring cell frequency point of the interference indicator obtained in step S101, and the path loss value of the cell corresponding to the neighboring cell frequency point is calculated, and the cell with the smallest path loss value is obtained, and is used as the neighbor.
  • the location cell of the regional frequency point is used to perform cell location on the neighboring cell frequency point of the interference indicator obtained in step S101, and the path loss value of the cell corresponding to the neighboring cell frequency point is calculated, and the cell with the smallest path loss value is obtained, and is used as the neighbor.
  • the interference cell table it is necessary to find a cell list with the same frequency point in the wireless communication network as the interference cell table, and then calculate the distance D of each interfering cell in the interfering cell table to the serving cell, and select 2 to 5 cells that are closer to the serving cell, and calculate
  • the serving cell antenna direction is clockwise to the interfering cell
  • the angle between the connection with the serving cell (X, and the direction of the antenna of the interfering cell is clockwise to the angle ⁇ between the interfering cell and the serving cell (see FIG. 3 in detail), and then the path of the cell is calculated by using the path loss formula.
  • the loss value comparing the path loss values, selects the cell with the smallest path loss value as the positioning cell of the neighboring frequency point.
  • the coefficient kl takes the range of [1, 2.5], the range of k2 is about [0.3, 0.9], and the range of k3 is about [0.8, 1.5].
  • the user can determine the optimal value according to different network environments.
  • Step S103 Configure a neighboring cell relationship of the serving cell according to the interference indicator of each neighboring cell frequency point and the positioning cell.
  • the interference indicator values are arranged in descending order, according to The maximum number of cells in the neighbor relationship is configured, and the positioning cell and the serving cell with larger interference indicators are configured as neighboring cells.
  • the configuration method is specifically: if the cell that has been configured as the neighboring cell relationship already exists in the positioning cell with the larger interference indicator, the neighboring cell relationship is retained; if the cell configured as the neighboring cell relationship does not exist in the interference If the location cell with the larger interference indicator is not configured as the neighboring cell of the serving cell, the neighboring cell relationship is added.
  • the apparatus includes a data processing unit 10 for calculating a neighboring cell frequency point to a serving cell interference indicator, and is used for Path loss locating unit 20 and neighboring area for cell positioning of neighboring frequency points Configuration unit 30.
  • the data processing unit 10 further includes: a noise filtering module 11 and a weighting summation module 12;
  • the noise filtering module 11 is configured to perform noise filtering according to the sum of the number of levels of the level difference level samples, that is, the total number of samples, and retain the number of level difference level samples of the neighboring frequency points capable of characterizing the coverage relationship, wherein the number of the level difference level samples passes.
  • the BA scheduling of the entire network can be determined for a period of time (according to the actual operation of the wireless communication network or according to the needs of the user. Generally, it takes one day for each batch of frequency points to be added to the neighbor relationship in the BA scheduling.
  • the data processing unit 10 statistically calculates the level difference between the neighboring frequency signal and the serving cell frequency signal, and
  • the hierarchical cumulative count obtains the number of the level difference level samples, and the number of the level difference level samples is at least one;
  • the condition of the noise filtering is, wherein SNi is the total number of samples of the frequency point, and the value range of k is [0.05, 0.3
  • the weighted summation module 12, the number of levels difference level samples obtained for the noise filtering module 11 is first small according to the level difference
  • the area interference condition is obtained by the curve-based truncation to obtain the weight of the level difference sample number, and then weighted and summed to obtain the sum of the number of samples weighted according to the level difference level, that is, the interference indicator of the neighboring area frequency point to the serving cell.
  • the above curve-based interception may be a straight line interception, a parabolic truncation, an interception of a normal distribution curve, etc., and a preferred embodiment of the present invention is based on the interception of a normal distribution curve.
  • the path loss locating unit 20 further includes: an interference cell table obtaining module 21, and a path loss locating module 22;
  • the interfering cell table obtaining module 21 is configured to search for a cell list with the same frequency point in the radio communication network as the interfering cell list according to the neighboring cell frequency point corresponding to the number of the level difference level samples obtained by the noise filtering module 11, and the path loss location
  • the module 22 calculates the distance D of each interfering cell to the serving cell in the interfering cell table according to the interfering cell table obtained by the interfering cell table obtaining module 21, and selects 2 to 5 cells that are closer to the serving cell, and calculates the serving cell antenna.
  • the angle between the connection between the cell and the serving cell (X, and the direction of the antenna of the interfering cell is clockwise to the angle ⁇ between the interfering cell and the serving cell (see Figure 3 for details), and then the cell is calculated by using the path loss formula.
  • the path loss value compare the path loss value, select the cell with the smallest path loss value and use it as the positioning cell of the neighboring frequency point.
  • the coefficient kl takes the range of [1, 2.5], the range of k2 is about [0.3, 0.9], and the range of k3 is about [0.8, 1.5].
  • the user can determine the optimal value according to different network environments.
  • the neighboring cell arranging unit 30 obtains the locating cell that is located by the path loss locating module 22, and obtains the interference indicator of the locating cell frequency signal to the serving cell according to the frequency of the locating cell, according to the frequency of the locating cell, according to the serving cell reservation.
  • the maximum number of cells in the neighbor relationship can be configured, and the positioning cell with the larger interference indicator and the serving cell are configured as the neighbor relationship.
  • the specific operation is as follows: If the cell that has been configured as the neighboring cell relationship already exists in the location cell with the larger interference indicator, the neighboring cell relationship is retained; if the cell configured as the neighboring cell relationship does not exist in the above interference indicator In the locating cell, the neighboring cell relationship is deleted; if the locating cell with the larger interference metric is not configured as the neighboring cell of the monthly good cell, the neighboring cell relationship is added.
  • the invention provides a method and a device for optimizing a neighboring area of a wireless communication network, which can obtain a interference index of a neighboring frequency signal to a serving cell by processing a frequency signal level of the collected frequency of the BCCH for a period of time, and utilize the path loss.
  • the positioning algorithm locates the positioning cell of the neighboring cell frequency signal and further configures the neighboring cell relationship of the serving cell according to the interference indicator and the maximum number of neighboring cell relationships that the serving cell can configure, which realizes low cost, high efficiency and collected. More comprehensive and optimized data The result has higher accuracy, not only can delete the inappropriate neighborhood relationship, but also can increase the new neighbor relationship and make the neighbor optimization more complete.

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Description

一种无线通信网络邻区优化的方法及装置 技术领域
本发明涉及无线通信网络优化技术， 尤其涉及一种无线通信网络邻区 优化的方法及装置。 背景技术
随着无线通信技术的不断发展和移动业务的多样化， 用户对无线通信 网络质量的要求也逐渐升高， 而无线通信网络从建设初期到最终成熟需要 网络规划、 工程建设、 网络优化等阶段， 网络优化是其中一个重要的环节。 网络优化具体是对已经运行的网络进行数据釆集并分析， 找出影响网络质 量的原因， 然后通过对频率设计、 基站参数、 网络结构等进行调整， 使网 络达到最佳运行状态， 使网络资源获得最佳的利用率。
当移动台在通话过程中从一个小区覆盖区移动到另一个小区覆盖区 时， 为了能够保证移动台服务小区的顺利切换， 保证通话质量， 在无线通 信网络中， 需要给服务小区合理地配置邻区， 无线通信网络的邻区规划主 要依据小区间的距离和小区方向角确定的小区覆盖范围来确定邻区关系。 由于网络初期规划基于的参考数据不能真实地反映实际的网络运行环境， 为了提高网络的服务质量还需要进行网络的优化工作， 其中就包括邻区优 化。
目前邻区优化主要有以下几种方案：
方案一， 手工优化， 仅凭网优工程师的经验和有限的人工计算。
方案二， 基于路测数据进行优化； 该方案的缺点是： 路测本身费时费 力， 收集数据也只能在有限的路径上进行， 数据不完整， 数据量小。
方案三， 根据操作维护中心釆集的现有网络的服务小区与邻区的切换 尝试次数， 切换成功次数等数据， 判断已配邻区关系是否合理， 如果不合 理， 则考虑删除邻区关系。 由于现网中未配置邻区关系的小区不能上 ^艮相 关性能数据， 因此， 该方案的缺点是只能对已配置的邻区给出删除建议， 而无法给出新增邻区建议， 不是完整意义的邻区优化。
因此， 目前无线通讯网络的邻区优化工作主要是依靠邻区切换等性能 数据做一部分的邻区优化工作（邻区删除）， 然后凭借网规网优工程师的经 一险人工完成另外一部分的优化工作（邻区增加）， 这种工作方式的工作效率 较低， 且优化结果的准确性不高。 发明内容
有鉴于此， 本发明的主要目的在于提供一种无线通信网络邻区优化的 方法， 以解决现有无线通信网络邻区优化方式的工作效率较低、 准确性不 高的问题。
为达到上述目的， 本发明的技术方案是这样实现的：
本发明提供一种无线通信网络邻区优化的方法， 该方法包括： 统计计算一段时间内服务小区频点信号与其邻区中任一个邻区频点信 号的电平差， 分级累计计数得到电平差等级样本数， 并对所述电平差等级 样本数进行处理得到此邻区频点对服务小区的干扰指标；
使用路损定位算法对此邻区频点进行小区定位， 找到此邻区频点的定 位小区；
根据所述邻区频点对服务小区的干扰指标和所述定位小区， 配置服务 小区的邻区关系。
上述方法中， 所述统计计算一段时间内服务小区频点信号与其邻区中 任一个邻区频点信号的电平差之前， 该方法还包括：
通过广播控制信道配置调度， 将当前未包含在邻区关系中的频点分批 次添加到服务小区的邻区关系中， 移动台接收服务小区的信号获取邻区关 系， 接收服务小区频点信号电平及邻区关系中任一个邻区频点信号的电平。 上述方法中， 所述统计计算一段时间内服务小区频点信号与其邻区中 任一个邻区频点信号的电平差， 分级累计计数得到电平差等级样本数， 并 对所述电平差等级样本数进行处理得到此邻区频点对服务小区的干扰指标 为：
统计计算一段时间内得到任一个邻区频点信号与服务小区频点信号的 电平差并分等级进行累计计数存储， 得到至少一个电平差等级样本数； 根据电平差等级样本数的和进行噪声过滤， 保留表征覆盖关系的邻区 频点的电平差等级样本数；
对噪声过滤后保留的电平差等级样本数进行基于曲线的截取， 得到所 述电平差等级样本数的权重， 并进行加权求和， 得到根据电平差等级加权 的样本数之和， 即此邻区频点信号对服务小区的干扰指标。
上述方法中，
所述噪声过滤的条件为 SM < k * ^ SNi ,所述 SNi为频点的样本总数，所 述 k的取值范围为 [0.05,0.3]。
上述方法中，
所述对所述有效样本点进行基于曲线的截取为基于正态分布曲线的截 取或基于抛物线的截取。
上述方法中， 所述根据所述邻区频点对服务小区的干扰指标和所述定 位小区， 配置服务小区的邻区关系为：
根据每个邻区频点的干扰指标和定位小区以及所述服务小区邻区关系 小区的配置个数， 将所述干扰指标大的定位小区与服务小区配置为邻区关 系。
上述方法中， 所述使用路损定位算法对此邻区频点进行小区定位， 找 到此邻区频点的定位小区为： 分别计算此邻区频点所对应小区的路损值， 得到此邻区频点所对应小 区中所述路损值最小的小区， 并将其作为此邻区频点的定位小区。
上述方法中， 所述路损定位算法为：
寻找无线通信网络中频点相同的小区列表作为干扰小区表；
计算干扰小区表中各干扰小区到服务小区的距离 D, 取距离服务小区 最近的 2 ~ 5个；
计算服务小区天线方向按顺时针到干扰小区与服务小区连线的夹角 α 以及干扰小区天线方向按顺时针到干扰小区与服务小区连线的夹角 β;
利用路损定位公式 PL (ICell dB)=32.44+201g ( f MHz ) +kl*201g ( D km ) +k2*/ (a) + k3*/ (β)计算得到干扰小区到服务小区的路损值，比较所述路损 值， 得到频点相同的小区中路损值最小的小区将其作为邻区频点的定位小 区。
上述方法中， 所述路损定位公式中 f MHz为小区所属的频段值， 所述 频段值为 900MHz或者 1800MHz; / (x)为天线方向 x方向的衰减值。
上述方法中， 所述路损定位公式中 kl的取值范围为 [1 , 2.5] , k2的取 值范围为 [0.3 , 0.9] , k3的取值范围为 [0.8, 1.5]。
本发明还提供一种无线通信网络邻区优化的装置， 该装置包括： 数据处理单元， 用于统计计算一段时间内服务小区频点信号与其邻区 中任一个邻区频点信号的电平差， 分级累计计数得到电平差等级样本数并 对所述电平差等级样本数进行处理， 得到邻区频点对服务小区的干扰指标； 路损定位单元， 用于使用路损定位算法对邻区频点进行小区定位， 找 到邻区频点的定位小区；
邻区配置单元， 用于根据所述邻区频点对服务小区的干扰指标和所述 定位小区， 配置服务小区的邻区关系。
上述装置中， 所述数据处理单元进一步包括： 噪声过滤模块， 用于根据电平差等级样本数求和得到的样本总数进行 噪声过滤， 保留表征覆盖关系的邻区频点的电平差等级样本数；
加权求和模块， 用于对所述噪声过滤模块得到的电平差等级样本数进 行基于曲线的截取， 获得所述电平差等级样本数的权重以进行加权求和， 得到根据电平差等级加权的样本数之和， 即邻区频点信号对服务小区的干 扰指标。
上述装置中， 所述加权求和模块对所述有效样本点进行基于曲线的截 取为基于正态分布的截取或基于抛物线的截取。
上述装置中， 所述邻区配置单元根据所述邻区频点对服务小区的干扰 指标和所述定位小区以及所述服务小区邻区关系小区的配置个数， 将所述 干扰指标大的定位小区与服务小区配置为邻区关系。
上述装置中，
所述路损定位单元用于分别计算此邻区频点所对应小区的路损值， 得 到此邻区频点所对应小区中所述路损值最小的小区并将其作为此邻区频点 的定位小区。
上述装置中， 所述路损定位单元进一步包括：
干扰小区表获取模块， 用于寻找无线通信网络中频点相同的小区列表 作为干扰小区表；
路损定位模块， 根据所述干扰小区表及路损定位公式 PL (ICell dB)=32.44+201g ( f MHz ) +kl*201g ( D km ) +k2*/ (a) + k3*/ (β)计算距离 服务小区最近的 2 ~ 5个干扰小区到服务小区的路损值， 比较所述路损值， 得到频点相同的小区中路损值最小的小区将其作为邻区频点的定位小区。
上述装置中， 所述路损定位模块中路损定位公式中的 f MHz为小区所 属的频段值， 所述频段值为 900MHz或者 1800MHz; / (x)为天线方向 x方 向的衰减值， kl的取值范围为 [1 , 2.5] , k2的取值范围为 [0.3 , 0.9] , k3的 取值范围为 [0.8, 1.5]。
与现有技术相比较， 本发明的有益效果：
1.相对于人工优化而言， 本发明提供的无线通信网络邻区优化的方法， 通过广播控制信道（ Broadcast Control CHannel Allocation, BCCH Allocation, BA, BCCH ) 配置调度釆集的邻区频点信号的电平， 统计计算并分级累计 计数得到电平差等级样本数， 处理电平差等级样本数得到邻区频点对服务 小区的干扰指标， 利用路损定位算法定位得到邻区频点中路损值最小的 'J、 区为定位小区进而根据干扰指标进行服务小区的邻区关系配置， 不仅效率 较高， 而且邻区优化的结果较为准确；
2.相对于切换数据的邻区优化， 本发明提供的无线通信网络邻区优化 的方法能够主动进行数据的釆集处理， 提前发现问题， 效率较高。
3.相对于基于路测数据的邻区优化， 本发明的邻区优化方法减少了路 测的人力、 财力、 时间等成本， 且通过 BCCH配置调度所釆集的数据更能 全面地反映网络状况， 因此优化的结果更为准确。 附图说明
图 1是本发明实施例提供的无线通信网络邻区优化方法的流程示意图； 图 2是本发明实施例提供的无线通信网络邻区优化装置的结构示意图； 图 3是本发明实施例中服务小区和干扰小区天线方向分别按顺时针到 干扰小区与服务小区连线的夹角示意图。 具体实施方式
本发明的基本思想是： 统计计算一段时间内服务小区频点信号与其邻 区中任一个邻区频点信号的电平差， 分级累计计数得到电平差等级样本数 , 并对所述电平差等级样本数进行处理得到此邻区频点对服务小区的干扰指 标； 使用路损定位算法对此邻区频点进行小区定位， 找到此邻区频点的定 位小区； 根据所述邻区频点对服务小区的干扰指标和所述定位小区， 配置 服务小区的邻区关系。
下面通过附图及具体实施例对本发明再做进一步的详细说明。
图 1是本发明实施例提供的无线通信网络邻区优化方法的流程示意图， 如图 1所示， 该方法包括如下步骤：
步骤 S101 , 统计计算邻区频点信号与服务小区频点信号的电平差， 分 级累计得电平差等级样本数， 对其处理得干扰指标；
具体的，通过全网的 BA调度在一段时间内（可根据无线通信网络的实 际运行情况或者根据用户需要进行确定）釆集邻区频点信号的电平， 进行 计算得到邻区频点信号与服务小区频点信号的电平差， 并对所述电平差分 级累计计数， 得到不同等级的电平差等级样本数， 对所述电平差等级样本 数进行处理得到邻区频点对服务小区的干扰指标。 其中上述电平差等级样 本数至少为一个；
其中，首先进行全网的 BA调度，将当前未包含在服务小区的邻区关系 中的频点分批次地添加到服务小区的邻区关系中， 故邻区频点包含了原来 的非邻区频点， （通常情况下 BA调度中每添加一批频点到邻区关系中进行 电平釆集需要一天时间， 完成整个 BA调度则约需要一周左右的时间）， 移 动台接收服务小区的信号获取邻区关系， 接收服务小区的邻区关系中邻区 频点信号的电平及服务小区频点信号的电平， 计算得到每个频点信号与服 务小区频点信号的电平差， 并对所述电平差进行分级累计计数， 以 c0 ~ c31 共 32个电平差等级为例进行说明， c0表示电平差为 -10dB及以下的电平差 等级样本数， cl表示电平差为 -10 ~ -9dB的电平差等级样本数， 依此类推， c31表示电平差为 21 dB及以上的电平差等级样本数；
然后根据电平差等级样本数的和即样本总数对所述频点进行噪声过 滤， 保留能够表征覆盖关系的邻区频点的电平差等级样本数， 此时 c0 ~ c31 表示的为噪声过滤后保留的邻区频点的电平差等级样本数， 其中上述噪声 过滤的条件为 SM < *^^M , 其中 SNi为频点的样本总数， k的取值范围为 [0.05,0.3];
最后， 对上述得到的电平差等级样本数根据电平差所表征的对服务 d、 区干扰情况进行基于曲线的截取以得到电平差等级样本数的权重， 例如可 以将表示电平差很小即对服务小区干扰较大的电平差等级样本数给予接近 1的权重，而表示电平差很大即对服务小区干扰较小的电平差等级样本数给 予接近 0 的权重， 但表示电平差处于中间一段的电平差等级样本数需按照 其自身分布遵循的某种曲线的形态给予相应的权重， 这种基于曲线的截取 方式有很多种， 下面分别以基于直线、 抛物线和正态分布曲线的截取为例 来进行说明：
1 )基于直线的截取。 此法假定在中心点附近各级的电平差的样本点大 致相等， 公式如下：
Figure imgf000010_0001
此法的特点为计算较为简单， 速度较快， 但在大多数的情况下精确度 稍差。
2 )基于抛物线的截取。 此方法的精确度比基于直线的截取的方法高。 在 ^ [/ _ δ，/ + δ]范围内是一条三次曲线。 例如中轴 μ=22 , δ=2 (与 X轴交点 距离为 4 ) 时， 截取曲线表达式为：
y =— x3 -—x2 + 45x - 324
32 16
3 )基于正态分布曲线的截取。 此方法的效率最低但是精确度最高， 然 而一般正态分布有预设的函数可以调用， 此时实现上更为简便但精确度不 变， 故为了提高效率可以釆用查表的方法。 因此本发明实施例对有效样本 点的截取釆用基于正态分布曲线的截取。 ^€ - δ， + δ]范围内截取的曲线表 达式为：
Figure imgf000011_0001
其中 μ和 δ可以由用户根据需要进行调整（一般应符合数据的实际分 布， μ对应数据的分布中心， δ对应数据的集中度）。 相应的有效样本点加 权归一化求和函数为：
Interfering = ^[yN * Ci] 其中 Ci为有效样本点的电平差等级样本数。
这里以上述分级电平差的 c20 (即电平差为 10dB ) 为中心点， 取正负 4dB的偏差范围为例进行说明， 把 μ=20, δ=4代入上述归一化求和函数， 并把正态函数积分部分用正态分布累积函数 NORMDIST取代， 得到：
Interfering = [(1 - NORMDIST (ί, 20, 4)) * Ci] 其中 Ci为有效样本点的电平差等级样本数。
上述表达式中的根据电平差等级加权的样本数之和 Interfering 为邻区 频点信号对服务小区的干扰指标， 其越大表征该邻区频点对服务小区的干 扰越大。
步骤 S102, 使用路损定位算法对邻区频点信号进行小区定位， 得到定 位小区；
具体的， 使用路损定位算法对步骤 S101中得到干扰指标的邻区频点进 行小区定位， 计算邻区频点所对应小区的路损值， 得到路损值最小的小区， 并将其作为邻区频点的定位小区。
其中， 首先需要寻找无线通信网络中频点相同的小区列表作为干扰小 区表， 然后计算干扰小区表中各干扰小区到服务小区的距离 D, 选出距离 服务小区较近的 2 ~ 5个小区， 计算服务小区天线方向按顺时针到干扰小区 与服务小区连线的夹角（X ,及干扰小区天线方向按顺时针到干扰小区与服务 小区连线的夹角 β (具体参见图 3 )进而利用路损定位公式计算得到所述小 区的路损值， 比较路损值， 选出路损值最小的小区作为邻区频点的定位小 区。
其中，路损定位算法公式为 PL (ICell dB)=32.44+201g ( f MHz ) +kl *201g
( D km ) +k2*/ (a) + k3*/ (β), 其中：
f MHz 区所属的频段值， 本发明实施例中为 f=900或 1800。
D km 干扰小区到服务小区的距离。
/ ( X ) 天线水平方向图中 X方向的衰减值， 对于全向站， / ( X ) = 0。
系数 kl取值范围约在 [1 , 2.5] , k2取值范围约在 [0.3 , 0.9] , k3取值范 围约在 [0.8, 1.5] , 用户可以才艮据不同网络环境确定最佳值。
步骤 S103 , 根据每个邻区频点的干扰指标和定位小区， 配置服务小区 的邻区关系；
具体的， 根据每个邻区频点的干扰指标和定位小区， 以及所述服务小 区预定的可以配置邻区关系的小区最大个数， 将干扰指标值按照从大到小 的顺序排列， 按照可配置邻区关系的小区最大个数， 取干扰指标较大的定 位小区与服务小区配置为邻区关系。
所述配置方法具体为： 若已配置为邻区关系的小区已存在于上述干扰 指标较大的定位小区中， 则保留该邻区关系； 若已配置为邻区关系的小区 不存在于上述干扰指标较大的定位小区中， 则删除该邻区关系； 若上述干 扰指标较大的定位小区未配置为服务小区的邻区， 则添加该邻区关系。
图 2是本发明实施例提供的无线通信网络邻区优化装置的结构示意图， 如图 2所示， 该装置包括用于计算得到邻区频点对服务小区干扰指标的数 据处理单元 10、用于对邻区频点进行小区定位的路损定位单元 20以及邻区 配置单元 30。
其中， 数据处理单元 10进一步包括： 噪声过滤模块 11、 加权求和模块 12; 其中，
噪声过滤模块 11 , 用于根据电平差等级样本数的和即样本总数进行噪 声过滤， 保留能够表征覆盖关系的邻区频点的电平差等级样本数， 其中上 述电平差等级样本数通过全网的 BA调度在一段时间内（可根据无线通信网 络的实际运行情况或者根据用户需要进行确定，通常情况下 BA调度中每添 加一批频点到邻区关系中进行电平釆集需要一天时间，完成整个 BA调度则 约需要一周左右的时间）釆集邻区频点信号的电平， 数据处理单元 10统计 计算得到的邻区频点信号与服务小区频点信号的电平差， 并分级累计计数 得到所述的电平差等级样本数， 上述电平差等级样本数至少为一个； 噪声 过滤的条件为 ， 其中 SNi为频点的样本总数， k的取值范围为 [0.05,0.3]; 加权求和模块 12,用于对噪声过滤模块 11得到的电平差等级样本数首 先根据电平差所表征的对服务小区干扰情况进行基于曲线的截取得到所述 电平差样本数的权重， 然后进行加权求和得到根据电平差等级加权的样本 数之和即邻区频点对服务小区的干扰指标。 其中上述基于曲线的截取可以 为直线截取、 抛物线截、 正态分布曲线的截取等， 本发明的优选实施例为 基于正态分布曲线的截取。
路损定位单元 20进一步包括： 干扰小区表获取模块 21、路损定位模块 22; 其中，
干扰小区表获取模块 21 ,用于按照所述噪声过滤模块 11得到的电平差 等级样本数所对应的邻区频点， 寻找无线通信网络中频点相同的小区列表 作为干扰小区表， 路损定位模块 22根据干扰小区表获取模块 21得到的干 扰小区表， 计算所述干扰小区表中各干扰小区到服务小区的距离 D, 选出 其中距离服务小区较近的 2 ~ 5个， 计算服务小区天线方向按顺时针到干扰 小区与服务小区连线的夹角（X,及干扰小区天线方向按顺时针到干扰小区与 服务小区连线的夹角 β (具体示意见图 3 )进而利用路损定位公式计算得到 所述小区的路损值， 比较路损值， 选出路损值最小的小区并将其作为邻区 频点的定位小区。
其中，路损定位算法公式为 PL (ICell dB)=32.44+201g ( f MHz ) +kl *201g
( D km ) +k2*/ (a) + k3*/ (β), 其中：
f MHz 区所属的频段值， 本发明实施例中为 f=900或 1800。
D km 干扰小区到服务小区的距离。
/ ( X ) 天线水平方向图中 X方向的衰减值， 对于全向站， / ( X ) = 0。
系数 kl取值范围约在 [1 , 2.5] , k2取值范围约在 [0.3 , 0.9] , k3取值范 围约在 [0.8, 1.5] , 用户可以才艮据不同网络环境确定最佳值。
邻区配置单元 30获取通过路损定位模块 22定位得到的定位小区， 根 据上述定位小区的频点从加权求和模块 12得到定位小区频点信号对服务小 区的干扰指标， 根据所述服务小区预定的可以配置邻区关系的小区最大个 数， 选择将上述干扰指标较大的定位小区与服务小区配置为邻区关系。 具 体操作为： 若已配置为邻区关系的小区已存在于上述干扰指标较大的定位 小区中， 则保留该邻区关系； 若已配置为邻区关系的小区不存在于上述干 扰指标较大的定位小区中， 则删除该邻区关系； 若上述干扰指标较大的定 位小区未配置为月良务小区的邻区， 则添加该邻区关系。
本发明提供了一种无线通信网络邻区优化的方法及装置， 通过处理全 网 BCCH调度一段时间内釆集的频点信号电平得到邻区频点信号对服务小 区的干扰指标， 利用路损定位算法定位得到邻区频点信号的定位小区进而 根据干扰指标及服务小区可以配置邻区关系的最大个数进行服务小区的邻 区关系配置， 实现成本较低， 效率较高且所釆集的数据较为全面进而优化 结果具有较高的准确度， 不仅能够删除不合适的邻区关系， 还能够增加新 的邻区关系， 使邻区优化更为完整。
以上所述仅为本发明的优选的实施方式， 应当指出， 对于本技术领域 的普通技术人员来说， 在不脱离本发明原理的前提下， 还可以做出若干改 进和润饰， 这些改进和润饰也应视为本发明的保护范围。

Claims

权利要求书
1、 一种无线通信网络邻区优化的方法， 该方法包括：
统计计算一段时间内服务小区频点信号与其邻区中任一个邻区频点信 号的电平差， 分级累计计数得到电平差等级样本数， 并对所述电平差等级 样本数进行处理得到此邻区频点对服务小区的干扰指标；
使用路损定位算法对此邻区频点进行小区定位， 找到此邻区频点的定 位小区；
根据所述邻区频点对服务小区的干扰指标和所述定位小区， 配置服务 小区的邻区关系。
2、 如权利要求 1所述的方法， 其特征在于， 所述统计计算一段时间内 服务小区频点信号与其邻区中任一个邻区频点信号的电平差之前， 该方法 还包括：
通过广播控制信道配置调度， 将当前未包含在邻区关系中的频点分批 次添加到服务小区的邻区关系中， 移动台接收服务小区的信号获取邻区关 系， 接收服务小区频点信号电平及邻区关系中任一个邻区频点信号的电平。
3、 如权利要求 1所述的方法， 其特征在于， 所述统计计算一段时间内 服务小区频点信号与其邻区中任一个邻区频点信号的电平差， 分级累计计 数得到电平差等级样本数， 并对所述电平差等级样本数进行处理得到此邻 区频点对服务小区的干扰指标为：
统计计算一段时间内得到任一个邻区频点信号与服务小区频点信号的 电平差并分等级进行累计计数存储， 得到至少一个电平差等级样本数； 根据电平差等级样本数的和进行噪声过滤， 保留表征覆盖关系的邻区 频点的电平差等级样本数；
对噪声过滤后保留的电平差等级样本数进行基于曲线的截取， 得到所 述电平差等级样本数的权重， 并进行加权求和， 得到根据电平差等级加权 的样本数之和， 即此邻区频点信号对服务小区的干扰指标。
4、 如权利要求 3所述的方法， 其特征在于，
所述噪声过滤的条件为 SM < k * ^ SNi ,所述 SNi为频点的样本总数，所 述 k的取值范围为 [0.05,0.3]。
5、 如权利要求 3所述的方法， 其特征在于，
所述对所述有效样本点进行基于曲线的截取为基于正态分布曲线的截 取或基于抛物线的截取。
6、 如权利要求 1所述的方法， 其特征在于， 所述根据所述邻区频点对 服务小区的干扰指标和所述定位小区， 配置服务小区的邻区关系为：
根据每个邻区频点的干扰指标和定位小区以及所述服务小区邻区关系 小区的配置个数， 将所述干扰指标大的定位小区与服务小区配置为邻区关 系。
7、 如权利要求 1至 6任一所述的方法， 其特征在于， 所述使用路损定 位算法对此邻区频点进行小区定位， 找到此邻区频点的定位小区为：
分别计算此邻区频点所对应小区的路损值， 得到此邻区频点所对应小 区中所述路损值最小的小区， 并将其作为此邻区频点的定位小区。
8、 如权利要求 7所述方法， 其特征在于， 所述路损定位算法为： 寻找无线通信网络中频点相同的小区列表作为干扰小区表；
计算干扰小区表中各干扰小区到服务小区的距离 D, 取距离服务小区 最近的 2 ~ 5个；
计算服务小区天线方向按顺时针到干扰小区与服务小区连线的夹角 α 以及干扰小区天线方向按顺时针到干扰小区与服务小区连线的夹角 β;
利用路损定位公式 PL (ICell dB)=32.44+201g ( f MHz ) +kl*201g ( D km ) +k2*/ (a) + k3*/ (β)计算得到干扰小区到服务小区的路损值，比较所述路损 值， 得到频点相同的小区中路损值最小的小区将其作为邻区频点的定位小 区。
9、如权利要求 8所述的方法，其特征在于，所述路损定位公式中 f MHz 为小区所属的频段值， 所述频段值为 900MHz或者 1800MHz; / (x)为天线 方向 X方向的衰减值。
10、 如权利要求 8所述的方法， 其特征在于， 所述路损定位公式中 kl 的取值范围为 [1 , 2.5] , k2的取值范围为 [0.3 , 0.9] , k3的取值范围为 [0.8, 1.5]。
11、 一种无线通信网络邻区优化的装置， 该装置包括：
数据处理单元， 用于统计计算一段时间内服务小区频点信号与其邻区 中任一个邻区频点信号的电平差， 分级累计计数得到电平差等级样本数并 对所述电平差等级样本数进行处理， 得到邻区频点对服务小区的干扰指标； 路损定位单元， 用于使用路损定位算法对邻区频点进行小区定位， 找 到邻区频点的定位小区；
邻区配置单元， 用于根据所述邻区频点对服务小区的干扰指标和所述 定位小区， 配置服务小区的邻区关系。
12、 如权利要求 11所述的装置， 其特征在于， 所述数据处理单元进一 步包括：
噪声过滤模块， 用于根据电平差等级样本数求和得到的样本总数进行 噪声过滤， 保留表征覆盖关系的邻区频点的电平差等级样本数；
加权求和模块， 用于对所述噪声过滤模块得到的电平差等级样本数进 行基于曲线的截取， 获得所述电平差等级样本数的权重以进行加权求和， 得到根据电平差等级加权的样本数之和， 即邻区频点信号对服务小区的干 扰指标。
13、 如权利要求 12所述的装置， 其特征在于， 所述加权求和模块对所 述有效样本点进行基于曲线的截取为基于正态分布的截取或基于抛物线的 截取。
14、 如权利要求 11所述的装置， 其特征在于， 所述邻区配置单元根据 所述邻区频点对服务小区的干扰指标和所述定位小区以及所述服务小区邻 区关系小区的配置个数， 将所述干扰指标大的定位小区与服务小区配置为 邻区关系。
15、 如权利要求 11至 14任一所述的装置， 其特征在于，
所述路损定位单元用于分别计算此邻区频点所对应小区的路损值， 得 到此邻区频点所对应小区中所述路损值最小的小区并将其作为此邻区频点 的定位小区。
16、 如权利要求 15所述的装置， 其特征在于， 所述路损定位单元进一 步包括：
干扰小区表获取模块， 用于寻找无线通信网络中频点相同的小区列表 作为干扰小区表；
路损定位模块， 根据所述干扰小区表及路损定位公式 PL (ICell dB)=32.44+201g ( f MHz ) +kl*201g ( D km ) +k2*/ (a) + k3*/ (β)计算距离 服务小区最近的 2 ~ 5个干扰小区到服务小区的路损值， 比较所述路损值， 得到频点相同的小区中路损值最小的小区将其作为邻区频点的定位小区。
17、 如权利要求 16所述的装置， 其特征在于， 所述路损定位模块中路 损定位公式中的 f MHz为小区所属的频段值， 所述频段值为 900MHz或者 1800MHz; / (X)为天线方向 X方向的衰减值， kl的取值范围为 [1 , 2.5] , k2 的取值范围为 [0.3 , 0.9] , k3的取值范围为 [0.8, 1.5]。
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