Measurement threshold determination method, apparatus, device, storage medium, computer program product

CN122846302APending Publication Date: 2026-09-29CHINA MOBILE GROUP DESIGN INST +1
View PDF 0 Cites 0 Cited by

Patent Information

Application Number
CN202610680785.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-05-18
Publication Date
2026-09-29

AI Technical Summary

Technical Problem

[0005]本申请实施例提供一种测量门限确定方法,用以解决现有切换测量门限配置方法只适用于部分站点小区,无法基于全网各小区的实际覆盖差异进行个性化、精确化优化的问题

Benefits of technology

采用本申请实施例提供的测量门限确定方法,在进行测量门限的确定时,可以对获取到的全网小区覆盖采样点的电平数据进行栅格化处理,得到至少两个栅格,通过确定目标小区当前所占用的第一栅格集,根据第一栅格集确定目标小区对应的相邻小区集,进而根据目标小区与所述相邻小区集中各相邻小区的覆盖电平数据,确定目标小区对应的切换栅格,并根据切换栅格中目标小区与相邻小区的电平数据,确定切换栅格对应的切换中心电平;根据切换中心电平,确定启动测量门限和停止测量门限。采用本申请实施例所提供的测量门限确定方法,一方面,通过对全网小区覆盖采样点的电平数据进行栅格化处理,能够将离散、海量的实测覆盖数据转化为结构化的地理栅格数据,每个栅格内包含多个小区的覆盖电平信息,从而为后续切换分析提供了统一的量化基础,进而在此基础上,通过确定目标小区当前占用的第一栅格集及其相邻小区集,使得切换门限的优化不再依赖全局统一的基线参数,而是基于目标小区实际覆盖范围内的真实邻区关系,实现了从小区级到邻区级的精细化分析;另外一方面,通过目标小区与各相邻小区的覆盖电平数据,确定切换栅格并计算切换中心电平,切换栅格精准定位了目标小区与邻小区发生自然切换的区域,切换中心电平则量化表征了该区域内两者电平相当且均较高的状态,充分考虑了不同小区对之间的实际覆盖差异和信号交叠特性,避免了传统人工优化仅能针对少量小区进行调整的局限性,使得切换中心电平的计算结果能够真实反映每个邻区对的最优切换时机;最后,基于切换中心电平直接确定启动测量门限和停止测量门限,相比现有技术中依赖人工经验或厂家默认参数的配置方式,由于切换中心电平是从全网实际覆盖数据中自动提取的,因此本方案能够批量、自动化地完成全网所有小区的测量门限优化,显著提升了优化效率和覆盖范围,同时,该门限配置与目标小区各邻区的实际覆盖特征相匹配,能够有效避免因门限设置过早或过晚导致的频繁切换、测量中断或切换失败等问题,从而提升用户业务感知和网络整体性能。

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122846302A_ABST
    Figure CN122846302A_ABST
Patent Text Reader

Abstract

The application discloses a measurement threshold determination method and device, equipment, storage medium and computer program product, to solve the problem that the existing switching measurement threshold configuration method is only applicable to part of site cells and cannot be personalized and accurately optimized based on actual coverage differences of all cells in the network. The method comprises: performing rasterization processing on the level data of the obtained sampling points of the coverage of all cells in the network to obtain at least two grids; determining a first grid set currently occupied by a target cell, determining a set of neighboring cells corresponding to the target cell according to the first grid set; determining a switching grid corresponding to the target cell according to the coverage level data of the target cell and each neighboring cell in the set of neighboring cells, and determining a switching center level corresponding to the switching grid according to the level data of the target cell and the neighboring cells in the switching grid; and determining a start measurement threshold and a stop measurement threshold according to the switching center level.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] This application relates to the field of communication technology, and in particular to a method, apparatus, device, storage medium, and computer program product for determining a measurement threshold. Background Technology

[0002] With the rapid development of wireless communication technology, mobility management has become a crucial aspect of ensuring user service quality. Existing technologies primarily achieve optimal cell handover for terminals in connected states from two dimensions: measurement mechanisms and parameter configuration. On one hand, a handover triggering framework based on A1 / A2 events is constructed through a neighbor cell measurement mechanism; on the other hand, optimization strategies adapted to different network environments are designed based on the dynamic adjustment of measurement threshold parameters. These solutions provide technical support for the handover performance and user experience of wireless communication networks.

[0003] To optimize neighbor cell measurement thresholds, existing technologies mainly employ two methods: First, parameters are aligned based on the equipment manufacturer's default configuration or operator specifications. This method is only applicable to some sites and cells, and cannot achieve personalized neighbor cell configurations or accurately measure the different handover threshold requirements of all sites and cells across the entire network. Second, some neighbor cell measurement thresholds are optimized and adjusted based on drive test data, user complaints, or key network performance indicators. This method requires manual optimization analysis and targets only a small number of cells, failing to comprehensively cover all cells across the entire network.

[0004] Therefore, there is an urgent need for a method that can calculate the handover measurement threshold of all cells in the network in batches. Summary of the Invention

[0005] This application provides a measurement threshold determination method to solve the problem that existing handover measurement threshold configuration methods are only applicable to some site cells and cannot be personalized and accurately optimized based on the actual coverage differences of all cells in the network.

[0006] This application also provides a measurement threshold determination device to solve the problem that the existing handover measurement threshold configuration method is only applicable to some site cells and cannot be personalized and accurately optimized based on the actual coverage differences of all cells in the network.

[0007] This application also provides a measurement threshold determination device to solve the problem that the existing handover measurement threshold configuration method is only applicable to some site cells and cannot be personalized and accurately optimized based on the actual coverage differences of all cells in the network.

[0008] This application also provides a computer-readable storage medium to address the problem that existing handover measurement threshold configuration methods are only applicable to some site cells and cannot be personalized and precisely optimized based on the actual coverage differences of all cells in the network.

[0009] A computer program product is provided to address the problem that existing handover measurement threshold configuration methods are only applicable to some site cells and cannot be personalized and precisely optimized based on the actual coverage differences of all cells in the network.

[0010] The embodiments of this application adopt the following technical solutions: A method for determining a measurement threshold includes: rasterizing the acquired level data of cell coverage sampling points across the entire network to obtain at least two grids, wherein each grid includes coverage level data of at least one cell's coverage sampling points; determining a first grid set currently occupied by a target cell, and determining a set of neighboring cells corresponding to the target cell based on the first grid set; determining a handover grid corresponding to the target cell based on the coverage level data of the target cell and each neighboring cell in the set of neighboring cells, and determining a handover center level corresponding to the handover grid based on the level data of the target cell and the neighboring cells in the handover grid; and determining a measurement start threshold and a measurement stop threshold based on the handover center level.

[0011] A measurement threshold determination device includes: a rasterization unit, configured to rasterize the acquired level data of cell coverage sampling points across the entire network to obtain at least two grids, wherein each grid includes coverage level data of at least one cell's coverage sampling points; a neighboring cell determination unit, configured to determine a first grid set currently occupied by a target cell, and determine a set of neighboring cells corresponding to the target cell based on the first grid set; a handover level determination unit, configured to determine a handover grid corresponding to the target cell based on the coverage level data of the target cell and each neighboring cell in the set of neighboring cells, and determine a handover center level corresponding to the handover grid based on the level data of the target cell and the neighboring cells in the handover grid; and a measurement threshold determination unit, configured to determine a start measurement threshold and a stop measurement threshold based on the handover center level.

[0012] A measurement threshold determination device, comprising: The processor; and a memory arranged to store computer-executable instructions, which, when executed, cause the processor to perform the following operations: rasterize the acquired level data of all cell coverage sampling points to obtain at least two grids, wherein each grid includes coverage level data of at least one cell's coverage sampling points; determine a first grid set currently occupied by a target cell, and determine a set of neighboring cells corresponding to the target cell based on the first grid set; determine a handover grid corresponding to the target cell based on the coverage level data of the target cell and each neighboring cell in the set of neighboring cells, and determine a handover center level corresponding to the handover grid based on the level data of the target cell and the neighboring cells in the handover grid; and determine a start measurement threshold and a stop measurement threshold based on the handover center level.

[0013] A computer-readable storage medium storing one or more programs, which, when executed by an electronic device including multiple application programs, cause the electronic device to perform the following operations: rasterizing acquired level data of full-network cell coverage sampling points to obtain at least two grids, wherein each grid includes coverage level data of at least one cell's coverage sampling points; determining a first grid set currently occupied by a target cell, and determining a set of neighboring cells corresponding to the target cell based on the first grid set; determining a handover grid corresponding to the target cell based on the coverage level data of the target cell and each neighboring cell in the set of neighboring cells, and determining a handover center level corresponding to the handover grid based on the level data of the target cell and the neighboring cells in the handover grid; and determining a start measurement threshold and a stop measurement threshold based on the handover center level.

[0014] A computer program product includes a computer program that, when executed by a processor, performs the following: rasterization processing on acquired level data of coverage sampling points across the entire network to obtain at least two grids, wherein each grid includes coverage level data of coverage sampling points of at least one cell; determining a first grid set currently occupied by a target cell, and determining a set of neighboring cells corresponding to the target cell based on the first grid set; determining a handover grid corresponding to the target cell based on the coverage level data of the target cell and each neighboring cell in the set of neighboring cells, and determining a handover center level corresponding to the handover grid based on the level data of the target cell and the neighboring cells in the handover grid; and determining a start measurement threshold and a stop measurement threshold based on the handover center level.

[0015] The above-described technical solutions adopted in the embodiments of this application can achieve the following beneficial effects: Using the measurement threshold determination method provided in this application embodiment, when determining the measurement threshold, the level data of the obtained full network cell coverage sampling points can be rasterized to obtain at least two grids. By determining the first grid set currently occupied by the target cell, the set of adjacent cells corresponding to the target cell is determined based on the first grid set. Then, based on the coverage level data of the target cell and each adjacent cell in the set of adjacent cells, the handover grid corresponding to the target cell is determined. Based on the level data of the target cell and the adjacent cells in the handover grid, the handover center level corresponding to the handover grid is determined. Based on the handover center level, the start measurement threshold and stop measurement threshold are determined. The measurement threshold determination method provided in this application has two advantages. First, by rasterizing the level data of the entire network's cell coverage sampling points, discrete and massive measured coverage data can be transformed into structured geographic raster data. Each raster contains coverage level information of multiple cells, thus providing a unified quantitative basis for subsequent handover analysis. Furthermore, by determining the first raster set currently occupied by the target cell and its neighboring cell sets, the optimization of the handover threshold no longer relies on globally unified baseline parameters but is based on the actual neighboring cell relationships within the target cell's actual coverage area, achieving refined analysis from the cell level to the neighboring cell level. Second, by using the coverage level data of the target cell and its neighboring cells, the handover raster is determined and the handover center level is calculated. The handover raster accurately locates the area where a natural handover occurs between the target cell and its neighboring cells, and the handover center level quantitatively characterizes the relationship between the two cells within that area. The state of relatively high and consistent signal levels fully considers the actual coverage differences and signal overlap characteristics between different cell pairs, avoiding the limitations of traditional manual optimization which can only adjust a small number of cells. This ensures that the calculation results of the handover center level can truly reflect the optimal handover timing for each neighboring cell pair. Finally, the start and stop measurement thresholds are directly determined based on the handover center level. Compared with the configuration methods in existing technologies that rely on manual experience or manufacturer default parameters, this solution can automatically complete the measurement threshold optimization of all cells in the entire network in batches and automatically, significantly improving optimization efficiency and coverage. At the same time, the threshold configuration matches the actual coverage characteristics of each neighboring cell of the target cell, effectively avoiding problems such as frequent handovers, measurement interruptions, or handover failures caused by setting the threshold too early or too late, thereby improving user service perception and overall network performance. Attached Figure Description

[0016] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings: Figure 1 A schematic flowchart illustrating a measurement threshold determination method provided in this application embodiment; Figure 2 This application provides a schematic diagram of the coverage level distribution between a target cell and neighboring cells in an embodiment of the present application. Figure 3 This application provides a schematic diagram of the grid distribution of the handover bands corresponding to a target cell and neighboring cells in an embodiment of the present application. Figure 4 This is a schematic diagram of the specific structure of a measurement threshold determination device provided in an embodiment of this application; Figure 5 This is a schematic diagram of the specific structure of a measurement threshold determination device provided in an embodiment of this application. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0018] This application provides a measurement threshold determination method to solve the problem that existing handover measurement threshold configuration methods are only applicable to some site cells and cannot be personalized and accurately optimized based on the actual coverage differences of cells across the entire network.

[0019] The execution subject of the measurement threshold determination method provided in this application embodiment may be, but is not limited to, at least one of a measurement server, a switching server, and a communication optimization server; in addition, the execution subject of the method may also be the system or application (APP) itself running on these servers.

[0020] For ease of description, the following description uses a measurement threshold determination system as the execution subject of this method as an example to introduce its implementation. It should be understood that using a measurement threshold determination system as the execution subject is merely an illustrative example and should not be construed as a limitation of the method.

[0021] Based on the above measurement threshold determination system, the specific implementation flowchart of the measurement threshold determination method provided in this application is shown below. Figure 1 As shown, the main steps include the following: Step 11: Rasterize the obtained level data of the sampling points of the entire network cell coverage to obtain at least two grids; In this embodiment of the application, it is first necessary to collect the coverage sampling point level data of the entire network cells and neighboring cells.

[0022] In one implementation, the collected coverage sampling point level data may include, but is not limited to, the following: drive test data, frequency sweep data, measurement report (MR) data, and minimized drive test (MDT) data. In this embodiment, the measurement threshold determination system can collect, clean, and convert the level data of all cell coverage sampling points in the network through a specific data acquisition device or platform. This embodiment does not limit the specific data acquisition method, but only uses it as a basic data source.

[0023] After obtaining the level data of the sampling points of the entire network cell coverage, the measurement threshold determination system can perform rasterization processing. In this embodiment, the rasterization processing process may include: dividing the entire network area according to a grid of preset size to obtain multiple geographic grids; grouping the coverage sampling points located in the same geographic grid according to the cell, and taking the average value of the coverage level corresponding to each coverage sampling point in each cell group to obtain the coverage level data corresponding to each cell in each geographic grid.

[0024] In practical applications, the grid size can be defined according to network density or accuracy requirements (e.g., 10m × 10m or 50m × 50m). In this embodiment, the preset grid size can be set to 20m × 20m. For each grid, all sampling points falling within the geographical area of ​​that grid are determined and grouped according to cell identifiers (e.g., E-UTRAN Cell Global Identifier, ECGI). The arithmetic mean of the sampling point level values ​​within each cell group is calculated to obtain the average coverage level of that cell within that grid, in dBm. In this embodiment, after the above processing, a gridded data table as shown in Table 1 can be obtained. In Table 1, each grid stores the average coverage level of all measurable cells (including the serving cell and multiple neighboring cells) at that geographical location. Table 1. Coverage Level Data of Gridded Cells

[0025] Step 12: Determine the first set of grid cells currently occupied by the target cell, and determine the set of neighboring cells corresponding to the target cell based on the first set of grid cells; In this embodiment of the application, for the target cell to be optimized (e.g., cell A in Table 1), all the grids in which the target cell has coverage level data can be filtered out from all the grids obtained by performing step 11. These grids constitute the first grid set, which represents the actual geographical coverage of the target cell.

[0026] Then, each grid in the first grid set is traversed to determine the information of all other cells appearing in the first grid set besides the target cell. These cells are then deduplicated to form the neighboring cell set corresponding to the target cell. For example, if the target cell is cell A, cells B, C, D, etc., may appear in different grids of the first grid set; therefore, the neighboring cell set includes {B, C, D, ...}. In this way, without relying on a manually configured neighbor cell list, the measurement threshold determination system can directly extract the true neighbor cell relationships from the actual coverage data.

[0027] Step 13: Determine the handover grid corresponding to the target cell based on the coverage level data of each neighboring cell in the target cell and neighboring cell sets; In this embodiment of the application, the measurement threshold determination system can determine the handover grid in the following way: for a neighboring cell pair consisting of the target cell and any neighboring cell in the neighboring cell set, select from the first grid set the grids in which the difference between the coverage level of the target cell and the coverage level of the neighboring cell is less than a preset difference threshold, and use them as the handover grids corresponding to the target cell.

[0028] Specifically, for a target cell (let's say cell A) and one of its neighboring cells (let's say cell B), a neighboring cell pair (cell A - cell B) can be formed. Traverse all cells in the first grid set, obtaining the average coverage level of cell A and cell B within each cell. If a cell lacks data for either cell, it is skipped. Calculate the level difference between the two, i.e., |level A - level B|. When the level difference is less than a preset difference threshold, the cell is determined to be a handover zone cell for cell A - cell B.

[0029] It's important to note that in wireless communication systems, handover events are typically triggered based on the A3 event. The core logic is that the handover is triggered when the signal quality of a neighboring cell is higher than the signal quality of the current serving cell by a set offset. In the LTE network standard's handover event sequence, the A3 event is primarily used to evaluate whether there are better neighboring cells available as a handover target.

[0030] In this embodiment of the application, the triggering / cancellation conditions for the A3 event switching may include the following: A3 event triggering conditions: Mn + Ofn + Ocn - Hys>Ms + Ofs + Ocs + Off Conditions for canceling the A3 incident: Mn + Ofn + Ocn + Hys <Ms + Ofs + Ocs + Off The meanings of the parameters in the above formula are as follows: Mn: Measurement level of neighboring cells, in dB; Ofn: Specific frequency offset for neighboring cells, generally set to 0, a negative value indicates delayed handover; Ocn: Cell Individual Offset (CIO), typically set to 0; a negative value indicates delayed handover. Hys: Frequency switching hysteresis, generally set to 1; Ms: Serving cell measurement result level, in dB; Ofs: Serving cell specific frequency offset, generally set to 0; Ocs: Serving cell specific bias (CIO), typically set to 0; Off: Switch bias, usually set to 3, to prevent ping-pong switching.

[0031] It should be noted that, under normal circumstances, during natural handover, the A3 event will have a handover offset of approximately 3dB (Off) and a hysteresis of 1dB. A cumulative level difference greater than 4dB is required to trigger handover to avoid ping-pong handover. Therefore, in areas where handover is likely to occur, the level difference between the serving cell and neighboring cells is usually small. In this embodiment, the preset difference threshold can be set to 5dB, that is, grids with a level difference between the serving cell and neighboring cells within 5dB are selected as handover grids. This threshold can also be set to other values, such as 4dB or 6dB, depending on the actual network strategy.

[0032] like Figure 2 As shown in the figure, the coverage level distribution of the target cell (such as cell A) and a neighboring cell (cell B) is illustrated. Figure 2 The horizontal axis represents the geographical location, and the vertical axis represents the signal level (dBm). The left curve represents the level of the serving cell (cell A), and the right curve represents the level of the neighboring cell (cell B). The area near the intersection of the two curves (the range with a small level difference) is the approximate location of the handover grid.

[0033] After the above filtering, all handover grids between cell A and cell B are obtained, such as... Figure 3 As shown, Figure 3 The shaded areas represent grids marked as handover zones, which are concentrated in the geographical area where cell A and cell B have overlapping coverage and similar voltage levels.

[0034] Step 14: Determine the handover center level corresponding to the handover grid based on the level data of the target cell and neighboring cells in the handover grid; In this embodiment of the application, the measurement threshold determination system can determine the handover center level corresponding to the handover grid according to the following method: in the handover grid, determine the second grid position where the difference between the coverage level data of the target cell and the adjacent cell is the smallest and the coverage level data of both the target cell and the adjacent cell reach the highest value; determine the coverage level value corresponding to the second grid position as the handover center level corresponding to the handover grid.

[0035] In this embodiment of the application, the measurement threshold determination system can determine the threshold for all handover band grid sets G of neighboring cell pairs (cell A - cell B). AB Calculate the cell A level Rs within each grid i. Ai and cell B level Rs Bi Then, we search for the raster index k that satisfies the following conditions: Condition 1: |Rs Ak -Rs Bk | In set G AB The smallest value in the middle, meaning the closest voltage level; Condition 2: Rs Ak and Rs Bk Choose the largest possible value, typically selecting the grid that maximizes the sum of the two values ​​among multiple grids that satisfy condition 1, or the grid that maximizes the higher of the two values.

[0036] At the optimal grid k, the level values ​​of cell A and cell B, or their average, are determined as the handover center level. Since the levels of the two cells are close within the handover band, the average of the two levels can be directly taken as the handover center level according to the following formula [1]: [1] in, and This represents the total computing power and total memory capacity of the node. and It is time-varying, representing the remaining available resources at a given time, which is a key constraint on resource allocation. These are the geographic coordinates of the node, used to calculate the distance to the mobile terminal.

[0037] A L Used to describe the transmission capacity and latency characteristics of each physical link, for each physical link Connect two nodes Its attributes are defined as shown in the following formula [2]: [2] Alternatively, the switching center level can be defined as the larger or smaller of the two levels, which can be adjusted according to the network strategy. This embodiment preferably uses the average value to represent the signal level at the switching point in a balanced way.

[0038] Repeat the above process for each neighbor cell pair of the target cell to obtain the handover center level of all neighbor cell pairs in the entire network, as shown in Table 2: Table 2. Neighbor cell relationships and handover center level tables for all cells in the network.

[0039] Step 15: Determine the start measurement threshold and stop measurement threshold based on the switching center level obtained by performing step 14.

[0040] In this embodiment, the measurement threshold determination system can determine the start and stop measurement thresholds according to the following method: First, the target cell and any adjacent cell in the adjacent cell set are grouped according to frequency points to obtain frequency point groups; then, for each frequency point group, the maximum value of the handover center level of each adjacent cell pair in the frequency point group is determined as the natural handover level value of the target cell in the corresponding frequency point group; finally, the start and stop measurement thresholds are determined according to the natural handover level value and the network coverage occupancy policy corresponding to the frequency point group.

[0041] Specifically, assuming the target cell-cell C operates at frequency point 1, all its neighboring cells may be distributed at different frequency points, such as frequency point 1, frequency point 2, frequency point 3, frequency point 4, etc. All neighboring cell pairs are grouped according to the frequency points to which the neighboring cells belong. For each frequency point group, according to the following formula [2], the handover center level of all neighboring cell pairs in the group is taken, and the maximum value among them is taken as the natural handover level value of the target cell at that neighboring cell frequency point: [2] Where f represents a frequency point of a neighboring cell, and C is the target cell.

[0042] Next, the final handover measurement threshold is determined according to the network coverage occupancy policy. In this embodiment, the measurement threshold determination system can determine the final handover measurement threshold in the following way: determining the frequency offset value corresponding to the frequency point group according to the network coverage occupancy policy; determining the actual handover level according to the natural handover level value and the frequency offset value; and setting the start measurement threshold and the stop measurement threshold according to the preset offset based on the actual handover level.

[0043] In this application embodiment, the network coverage occupancy strategy includes the same frequency strategy, the different frequency strategy, and the frequency offset setting strategy.

[0044] The frequency offset value is used to adjust the relative speed of handover: a positive frequency offset causes the handover to occur earlier, while a negative frequency offset causes the handover to occur later. Typically, the frequency offset for neighboring cells on the same frequency is set to 0dB; for neighboring cells on different frequencies, a positive or negative frequency offset value can be set according to the operator's needs, for example, a frequency offset of +6dB is used for early handover, and a frequency offset of -6dB is used for delayed handover.

[0045] After obtaining the actual switching level, the measurement start threshold and measurement stop threshold can be determined. According to the general configuration of the communication system, the measurement start threshold is usually set 3dB higher than the actual switching level, and the measurement stop threshold is 3dB higher than the measurement start threshold.

[0046] It should be noted that the 3dB offset mentioned above is only an example. In actual systems, it can be adaptively adjusted according to switching parameters (such as hysteresis Hys, offset Off, etc.). For example, in the embodiments of this application, the threshold can be calculated according to the offset shown in Table 3: Table 3 Calculation table for switching measurement thresholds at each frequency point

[0047] For example, for neighboring cell C at frequency point 3, the maximum handover center level is -96dBm. Using an early handover strategy with a frequency offset δ = +6dB, the actual handover level is -96 + 6 = -90dBm. Therefore, the detection threshold is -90 + 3 = -87dBm, and the shutdown threshold is -87 + 3 = -84dBm (or -90 + 6 = -84dBm). As another example, for neighboring cell C at frequency point 4, under a delayed handover strategy with δ = -6dB, the actual handover level is -99 - 6 = -105dBm, the detection threshold is -105 + 3 = -102dBm, and the shutdown threshold is -102 + 3 = -99dBm.

[0048] By following the steps above, precise measurement start and stop thresholds can be determined for target cell C at different neighboring cell frequencies. These threshold values ​​can be directly configured in network equipment to control when user equipment (UE) starts measuring inter-frequency / inter-system neighboring cells and when it stops measuring, thereby minimizing service interruptions caused by measurements while ensuring handover success rate and improving user experience.

[0049] Using the measurement threshold determination method provided in this application embodiment, when determining the measurement threshold, the level data of the obtained full network cell coverage sampling points can be rasterized to obtain at least two grids. By determining the first grid set currently occupied by the target cell, the set of adjacent cells corresponding to the target cell is determined based on the first grid set. Then, based on the coverage level data of the target cell and each adjacent cell in the set of adjacent cells, the handover grid corresponding to the target cell is determined. Based on the level data of the target cell and the adjacent cells in the handover grid, the handover center level corresponding to the handover grid is determined. Based on the handover center level, the start measurement threshold and stop measurement threshold are determined. The measurement threshold determination method provided in this application has two advantages. First, by rasterizing the level data of the entire network's cell coverage sampling points, discrete and massive measured coverage data can be transformed into structured geographic raster data. Each raster contains coverage level information of multiple cells, thus providing a unified quantitative basis for subsequent handover analysis. Furthermore, by determining the first raster set currently occupied by the target cell and its neighboring cell sets, the optimization of the handover threshold no longer relies on globally unified baseline parameters but is based on the actual neighboring cell relationships within the target cell's actual coverage area, achieving refined analysis from the cell level to the neighboring cell level. Second, by using the coverage level data of the target cell and its neighboring cells, the handover raster is determined and the handover center level is calculated. The handover raster accurately locates the area where a natural handover occurs between the target cell and its neighboring cells, and the handover center level quantitatively characterizes the relationship between the two cells within that area. The state of relatively high and consistent signal levels fully considers the actual coverage differences and signal overlap characteristics between different cell pairs, avoiding the limitations of traditional manual optimization which can only adjust a small number of cells. This ensures that the calculation results of the handover center level can truly reflect the optimal handover timing for each neighboring cell pair. Finally, the start and stop measurement thresholds are directly determined based on the handover center level. Compared with the configuration methods in existing technologies that rely on manual experience or manufacturer default parameters, this solution can automatically complete the measurement threshold optimization of all cells in the entire network in batches and automatically, significantly improving optimization efficiency and coverage. At the same time, the threshold configuration matches the actual coverage characteristics of each neighboring cell of the target cell, effectively avoiding problems such as frequent handovers, measurement interruptions, or handover failures caused by setting the threshold too early or too late, thereby improving user service perception and overall network performance.

[0050] In one embodiment, this application also provides a measurement threshold determination device to address the problem that existing handover measurement threshold configuration methods are only applicable to some site cells and cannot perform personalized and precise optimization based on the actual coverage differences of all cells in the network. A schematic diagram of the specific structure of the measurement threshold determination device is shown below. Figure 4As shown, it includes: a gridding unit 41, a neighboring cell determination unit 42, a handover level determination unit 43, and a measurement threshold determination unit 44.

[0051] The rasterization unit 41 is used to rasterize the acquired level data of the full network cell coverage sampling points to obtain at least two grids, wherein each grid includes the coverage level data of at least one cell coverage sampling point. The neighboring cell determination unit 42 is used to determine the first grid set currently occupied by the target cell, and to determine the neighboring cell set corresponding to the target cell based on the first grid set; The handover level determination unit 43 is used to determine the handover grid corresponding to the target cell based on the coverage level data of the target cell and each neighboring cell in the neighboring cell set, and to determine the handover center level corresponding to the handover grid based on the level data of the target cell and the neighboring cells in the handover grid. The measurement threshold determination unit 44 is used to determine the start measurement threshold and stop measurement threshold based on the switching center level.

[0052] In one embodiment, the rasterization unit 41 is specifically used to divide the entire network area according to a grid of preset size to obtain multiple geographic grids; group the coverage sampling points located in the same geographic grid according to cells, and take the average value of the coverage power corresponding to each coverage sampling point in each cell group to obtain the coverage level data corresponding to each cell in each geographic grid.

[0053] In one embodiment, the handover level determination unit 43 is specifically used to select, from the first grid set, grids in which the difference between the coverage level of the target cell and the coverage level of the neighboring cell is less than a preset difference threshold for a neighboring cell pair formed by the target cell and any neighboring cell in the neighboring cell set, and use them as the handover grids corresponding to the target cell.

[0054] In one embodiment, the handover level determination unit 43 is specifically used to determine, within the handover grid, a second grid position where the difference in coverage level data between the target cell and the adjacent cell is the smallest, and the coverage level data of both the target cell and the adjacent cell reaches the highest value; and to determine the coverage level value corresponding to the second grid position as the handover center level corresponding to the handover grid.

[0055] In one embodiment, the measurement threshold determination unit 44 is specifically configured to: group the neighboring cell pairs formed by the target cell and any neighboring cell in the neighboring cell set according to frequency points to obtain frequency point groups; for each frequency point group, determine the maximum value of the handover center level of each neighboring cell pair in the frequency point group as the natural handover level value of the target cell corresponding to the frequency point group; and determine the start measurement threshold and the stop measurement threshold according to the natural handover level value and the network coverage occupancy policy corresponding to the frequency point group.

[0056] In one embodiment, the measurement threshold determination unit 44 is specifically used for: determining the frequency offset value corresponding to the frequency point group according to the network coverage occupancy strategy; determining the actual switching level according to the natural switching level value and the frequency offset value; and setting the start measurement threshold and the stop measurement threshold according to the actual switching level as a reference and a preset offset, respectively.

[0057] Using the measurement threshold determination device provided in this application embodiment, when determining the measurement threshold, the acquired level data of the full network cell coverage sampling points can be rasterized to obtain at least two grids. By determining the first grid set currently occupied by the target cell, the set of adjacent cells corresponding to the target cell is determined based on the first grid set. Then, based on the coverage level data of the target cell and each adjacent cell in the set of adjacent cells, the handover grid corresponding to the target cell is determined. Based on the level data of the target cell and the adjacent cells in the handover grid, the handover center level corresponding to the handover grid is determined. Based on the handover center level, the start measurement threshold and stop measurement threshold are determined. The measurement threshold determination method provided in this application has two advantages. First, by rasterizing the level data of the entire network's cell coverage sampling points, discrete and massive measured coverage data can be transformed into structured geographic raster data. Each raster contains coverage level information of multiple cells, thus providing a unified quantitative basis for subsequent handover analysis. Furthermore, by determining the first raster set currently occupied by the target cell and its neighboring cell sets, the optimization of the handover threshold no longer relies on globally unified baseline parameters but is based on the actual neighboring cell relationships within the target cell's actual coverage area, achieving refined analysis from the cell level to the neighboring cell level. Second, by using the coverage level data of the target cell and its neighboring cells, the handover raster is determined and the handover center level is calculated. The handover raster accurately locates the area where a natural handover occurs between the target cell and its neighboring cells, and the handover center level quantitatively characterizes the relationship between the two cells within that area. The state of relatively high and consistent signal levels fully considers the actual coverage differences and signal overlap characteristics between different cell pairs, avoiding the limitations of traditional manual optimization which can only adjust a small number of cells. This ensures that the calculation results of the handover center level can truly reflect the optimal handover timing for each neighboring cell pair. Finally, the start and stop measurement thresholds are directly determined based on the handover center level. Compared with the configuration methods in existing technologies that rely on manual experience or manufacturer default parameters, this solution can automatically complete the measurement threshold optimization of all cells in the entire network in batches and automatically, significantly improving optimization efficiency and coverage. At the same time, the threshold configuration matches the actual coverage characteristics of each neighboring cell of the target cell, effectively avoiding problems such as frequent handovers, measurement interruptions, or handover failures caused by setting the threshold too early or too late, thereby improving user service perception and overall network performance.

[0058] Figure 5 This is a schematic diagram of the structure of an electronic device according to an embodiment of this application. Please refer to it. Figure 5At the hardware level, the electronic device includes a processor, and optionally also includes an internal bus, a network interface, and memory. The memory may include main memory, such as high-speed random-access memory (RAM), or non-volatile memory, such as at least one disk drive. Of course, the electronic device may also include other hardware required for other business operations.

[0059] The processor, network interface, and memory can be interconnected via an internal bus, which can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus, etc. This bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 5 The symbol is represented by a single double-headed arrow, but this does not mean that there is only one bus or one type of bus.

[0060] Memory is used to store programs. Specifically, programs may include program code, which includes computer operation instructions. Memory may include main memory and non-volatile memory, and provides instructions and data to the processor.

[0061] The processor reads the corresponding computer program from non-volatile memory into main memory and then executes it, forming a measurement threshold determination device at the logical level. The processor executes the program stored in memory and specifically performs the following operations: The acquired level data of the full network cell coverage sampling points are rasterized to obtain at least two grids, wherein each grid includes the coverage level data of the coverage sampling points of at least one cell; the first grid set currently occupied by the target cell is determined, and the set of neighboring cells corresponding to the target cell is determined based on the first grid set; the handover grid corresponding to the target cell is determined based on the coverage level data of the target cell and each neighboring cell in the set of neighboring cells, and the handover center level corresponding to the handover grid is determined based on the level data of the target cell and the neighboring cells in the handover grid; the start measurement threshold and stop measurement threshold are determined based on the handover center level.

[0062] The above is as stated in this application. Figure 5The measurement threshold determination method disclosed in the illustrated embodiments can be applied to or implemented by a processor. The processor may be an integrated circuit chip with signal processing capabilities. During implementation, each step of the above method can be completed by integrated logic circuits in the processor's hardware or by instructions in software form. The processor can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this application can be directly embodied in the execution of a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software module can reside in a mature storage medium in the field, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. This storage medium is located in memory, and the processor reads information from the memory and, in conjunction with its hardware, completes the steps of the above method.

[0063] Of course, in addition to software implementation, the electronic device of this application does not exclude other implementation methods, such as logic devices or a combination of hardware and software, etc. In other words, the execution subject of the following processing flow is not limited to each logic unit, but can also be hardware or logic devices.

[0064] This application also proposes a computer-readable storage medium that stores one or more programs, the programs including instructions that, when executed by a portable electronic device including multiple applications, enable the portable electronic device to perform... Figure 1 The measurement threshold determination method of the illustrated embodiment is specifically used to perform the following operations: The acquired level data of the full network cell coverage sampling points are rasterized to obtain at least two grids, wherein each grid includes the coverage level data of the coverage sampling points of at least one cell; the first grid set currently occupied by the target cell is determined, and the set of neighboring cells corresponding to the target cell is determined based on the first grid set; the handover grid corresponding to the target cell is determined based on the coverage level data of the target cell and each neighboring cell in the set of neighboring cells, and the handover center level corresponding to the handover grid is determined based on the level data of the target cell and the neighboring cells in the handover grid; the start measurement threshold and stop measurement threshold are determined based on the handover center level.

[0065] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0066] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0067] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0068] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0069] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0070] Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0071] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0072] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0073] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0074] The above description is merely an embodiment of this application and is not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A method for determining a measurement threshold, characterized in that, include: The acquired level data of the full network cell coverage sampling points are rasterized to obtain at least two grids, wherein each grid includes the coverage level data of at least one cell coverage sampling point; Determine the first set of grid cells currently occupied by the target cell, and determine the set of neighboring cells corresponding to the target cell based on the first set of grid cells; Based on the coverage level data of the target cell and each neighboring cell in the neighboring cell set, the handover grid corresponding to the target cell is determined, and based on the level data of the target cell and the neighboring cells in the handover grid, the handover center level corresponding to the handover grid is determined; Based on the switching center level, determine the start measurement threshold and the stop measurement threshold.

2. The method according to claim 1, characterized in that, The step of rasterizing the acquired level data of the entire network cell coverage sampling points to obtain at least two grids specifically includes: The entire network area is divided into multiple geographic grids based on a grid of preset size; The coverage sampling points located within the same geographic grid are grouped according to the cell, and the average coverage level of each coverage sampling point within each cell group is taken to obtain the coverage level data corresponding to each cell within each geographic grid.

3. The method according to claim 1, characterized in that, The step of determining the handover grid corresponding to the target cell based on the coverage level data of the target cell and each neighboring cell in the neighboring cell set specifically includes: For a neighboring cell pair consisting of the target cell and any adjacent cell in the adjacent cell set, the grids in the first grid set whose difference between the coverage level of the target cell and the coverage level of the adjacent cell is less than a preset difference threshold are selected as the handover grids corresponding to the target cell.

4. The method according to claim 1, characterized in that, The step of determining the handover center level corresponding to the handover grid based on the level data of the target cell and the neighboring cells in the handover grid specifically includes: In the switching grid, the second grid position is determined where the difference in coverage level data between the target cell and the adjacent cell is the smallest, and the coverage level data of both the target cell and the adjacent cell reach the highest value. The coverage level value corresponding to the second grid position is determined as the switching center level corresponding to the switching grid.

5. The method according to claim 1, characterized in that, The step of determining the start and stop measurement thresholds based on the switching center level specifically includes: The target cell and any adjacent cell in the adjacent cell group are grouped according to frequency points to obtain frequency point groups; For each frequency group, the maximum value of the handover center level of each neighboring cell in the frequency group is determined as the natural handover level value of the target cell in the corresponding frequency group; The start measurement threshold and the stop measurement threshold are determined based on the natural switching level value and the network coverage occupancy policy corresponding to the frequency group.

6. The method according to claim 5, characterized in that, The step of determining the start measurement threshold and the stop measurement threshold based on the natural handover level value and the network coverage occupancy policy corresponding to the frequency point group specifically includes: The frequency offset value corresponding to the frequency point group is determined according to the network coverage occupancy strategy; The actual switching level is determined based on the natural switching level value and the frequency offset value; Based on the actual switching level, the start measurement threshold and the stop measurement threshold are set according to the preset offset.

7. A measurement threshold determination device, characterized in that, include: A rasterization unit is used to rasterize the acquired level data of the full network cell coverage sampling points to obtain at least two grids, wherein each grid includes the coverage level data of at least one cell coverage sampling point; The neighboring cell determination unit is used to determine the first grid set currently occupied by the target cell, and to determine the neighboring cell set corresponding to the target cell based on the first grid set; The handover level determination unit is used to determine the handover grid corresponding to the target cell based on the coverage level data of the target cell and each neighboring cell in the neighboring cell set, and to determine the handover center level corresponding to the handover grid based on the level data of the target cell and the neighboring cells in the handover grid; The measurement threshold determination unit is used to determine the start measurement threshold and the stop measurement threshold based on the switching center level.

8. A measurement threshold determination device, comprising: processor; as well as A memory configured to store computer-executable instructions, which, when executed, cause the processor to perform the following operations: The acquired level data of the full network cell coverage sampling points are rasterized to obtain at least two grids, wherein each grid includes the coverage level data of at least one cell coverage sampling point; Determine the first set of grid cells currently occupied by the target cell, and determine the set of neighboring cells corresponding to the target cell based on the first set of grid cells; Based on the coverage level data of the target cell and each neighboring cell in the neighboring cell set, the handover grid corresponding to the target cell is determined, and based on the level data of the target cell and the neighboring cells in the handover grid, the handover center level corresponding to the handover grid is determined; Based on the switching center level, determine the start measurement threshold and the stop measurement threshold.

9. A computer-readable storage medium storing one or more programs, which, when executed by an electronic device including a plurality of applications, cause the electronic device to perform the measurement threshold determination method as described in any one of claims 1-6.

10. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the measurement threshold determination method as described in any one of claims 1-6.