Cell processing method and apparatus, electronic device, and storage medium

Abstract

The application provides a cell processing method and device, electronic equipment and storage medium, the method comprising: acquiring the position of a terminal device in a first cell coverage range and a signal quality parameter value of the terminal device; clustering the terminal device in the first cell coverage range according to the signal quality parameter value of the terminal device; acquiring a first distance for determining a target cell of the first cell according to the clustering result and the position of the first cell; determining the target cell of the first cell from the surrounding cells of the first cell according to the first distance and the position of the first cell; the target cell comprises a neighboring cell and / or an anchor cell; and adding the identifier of the target cell of the first cell to the target cell list of the first cell. The method of the application improves the optimization accuracy of the neighboring cell and / or the anchor cell and improves the optimization efficiency.

Description

TECHNICAL FIELD

[0001] The present application relates to the communication technology field, and particularly relates to a cell processing method and device, electronic equipment and storage medium. BACKGROUND

[0002] The current 5th Generation Mobile Communication Technology (5G) is being built on a large scale. The 5G network in the early stage of network construction mainly adopts a standalone (SA) + non-standalone (NSA) dual-mode architecture. In the actual NSA network optimization process, 5G neighboring cell and anchor cell optimization is the top priority in the actual optimization process.

[0003] At present, when optimizing the 5G neighboring cell and anchor cell, the cells within a fixed distance range are usually added as neighboring cells or anchor cells by manual operation. However, the neighboring cells and anchor cells determined by the above method have the problem of poor 5G mobility and poor camping, resulting in poor user experience. In addition, the existing method of manually adding neighboring cells and anchor cells has low work efficiency and poor accuracy. SUMMARY

[0004] The present application provides a cell processing method and device, electronic equipment and storage medium, to solve the problem of low efficiency, low accuracy, poor 5G mobility and poor camping of the existing neighboring cell / anchor cell determination method.

[0005] In a first aspect, the present application provides a cell processing method, which comprises:

[0006] obtaining the position of a terminal device in the coverage range of a first cell, and the signal quality parameter value of the terminal device;

[0007] clustering the terminal devices in the coverage range of the first cell according to the signal quality parameter value of the terminal device;

[0008] obtaining a first distance for determining the target cell of the first cell according to the clustering result and the position of the first cell;

[0009] determining the target cell of the first cell from the surrounding cells of the first cell according to the first distance and the position of the first cell; the target cell includes a neighboring cell and / or an anchor cell;

[0010] adding the identifier of the target cell of the first cell to the target cell list of the first cell.

[0011] Optionally, the signal quality parameter includes a reference signal received power.

[0012] The first distance for determining the target cell of the first cell is obtained according to the clustering result and the position of the first cell.

[0013] A target terminal device whose reference signal receiving power is greater than or equal to a preset receiving power threshold is determined according to the clustering result.

[0014] The first distance for determining the target cell of the first cell is obtained according to the position of the target terminal device and the position of the first cell.

[0015] Optionally, the first distance for determining the target cell of the first cell is obtained according to the position of the target terminal device and the position of the first cell, comprising:

[0016] An expected position of the position of all target terminal devices is obtained.

[0017] A distance between the expected position and the position of the first cell is taken as the first distance.

[0018] Optionally, the target cell of the first cell is determined from the peripheral cells of the first cell according to the first distance, the position of the first cell, comprising:

[0019] A downlink path loss of the first cell under a minimum edge field strength, an antenna hanging height of a network device to which the first cell belongs, and road test data of the first cell are obtained.

[0020] A second distance for determining the target cell of the first cell is obtained according to the downlink path loss of the first cell under the minimum edge field strength, the antenna hanging height, and the road test data of the first cell.

[0021] The target cell of the first cell is determined from the peripheral cells of the first cell according to the first distance, the second distance, and the position of the first cell.

[0022] Optionally, the target cell of the first cell is determined from the peripheral cells of the first cell according to the first distance, the second distance, and the position of the first cell, comprising:

[0023] Peripheral cells within the first distance from the first cell are taken as the target cells of the first cell; and,

[0024] Peripheral cells within greater than the first distance and less than or equal to the second distance from the first cell and having a signal transmitting power greater than or equal to a preset power threshold are taken as the target cells of the first cell.

[0025] Optionally, the acquiring the downlink path loss of the first cell at the minimum edge field strength comprises:

[0026] acquiring the downlink path loss of the first cell at the minimum edge field strength according to a transmitting power of an antenna of the network device, a gain of the antenna, a vehicle body loss, a human body loss, and the following formula:

[0027] the formula is as follows: TX+G-PL-Cs-Rs≤Rx

[0028] wherein, TX is the transmitting power of the antenna of the network device; G is the gain of the antenna of the network device; PL is the downlink path loss; Cs is the vehicle body loss; Rs is the human body loss; and Rx is the minimum edge field strength.

[0029] Optionally, the drive test data of the first cell comprises at least one of the following: building height, road width, coverage distance, carrier center frequency, height of the terminal device.

[0030] the acquiring the second distance for determining the target cell of the first cell according to the downlink path loss of the first cell at the minimum edge field strength, the antenna hanging height, and the drive test data of the first cell comprises:

[0031] the acquiring the second distance for determining the target cell of the first cell according to the downlink path loss of the first cell at the minimum edge field strength, the antenna hanging height, and the drive test data of the first cell comprises: acquiring the second distance for determining the target cell of the first cell by using a non-line-of-sight loss model.

[0032] In a second aspect, the present application provides a cell processing device, the device comprising:

[0033] a first acquiring module, configured to acquire a position of a terminal device within a coverage range of a first cell, and a signal quality parameter value of the terminal device;

[0034] a clustering module, configured to cluster the terminal device within the coverage range of the first cell according to the signal quality parameter value of the terminal device;

[0035] a second acquiring module, configured to acquire a first distance for determining a target cell of the first cell according to the clustering result and the position of the first cell;

[0036] a determining module, configured to determine the target cell of the first cell from peripheral cells of the first cell according to the first distance and the position of the first cell; the target cell comprises a neighbor cell and / or an anchor cell;

[0037] add a target cell identity of the target cell of the first cell to a target cell list of the first cell.

[0038] In a third aspect, the present application provides an electronic device, comprising:

[0039] a processor, and a memory connected to the processor in communication;

[0040] the memory stores computer-executable instructions;

[0041] the processor executes the computer-executable instructions stored in the memory to implement the method according to any one of the first aspect.

[0042] In a fourth aspect, the present application provides a computer-readable storage medium, which stores computer-executable instructions, and the computer-executable instructions are executed by a processor to implement the cell processing method according to any one of the first aspect.

[0043] In a fifth aspect, the present application provides a computer program product, which comprises a computer program, and the computer program is executed by a processor to implement the method according to any one of the first aspect.

[0044] The cell processing method, device, electronic device and storage medium provided by the present application can determine the first distance for circumscribing the neighbor cell and / or anchor cell according to the position of the terminal device in the cell coverage range and the signal quality parameter value, i.e. the actual coverage scenario of the cell, and then determine the neighbor cell and / or anchor cell according to the first distance. The above method does not use a fixed distance to determine the neighbor cell and / or anchor cell, but according to the actual coverage scenario of the cell, which can improve the accuracy of determining the neighbor cell and / or anchor cell. When the method of the present application is applied to the determination of the 5G neighbor cell and / or anchor cell, the 5G camping and mobility of the terminal device can be improved. In addition, the method of the present application does not require human intervention, which improves the optimization efficiency of the neighbor cell and / or anchor cell. BRIEF DESCRIPTION OF DRAWINGS

[0045] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0046] Figure 1 A flowchart of a neighbor cell processing method provided by the present application;

[0047] Figure 2 A position diagram of a terminal device in a first cell coverage range provided by the present application;

[0048] Figure 3Another cell processing method provided in the present application is shown in the flowchart of the figure;

[0049] Figure 4 A clustering result provided in the present application is shown in the figure;

[0050] Figure 5 A cell processing method provided in the present application is shown in the figure;

[0051] Figure 6 Another cell processing method provided in the present application is shown in the flowchart of the figure;

[0052] Figure 7 Another cell processing method provided in the present application is shown in the figure;

[0053] Figure 8 Another cell processing method provided in the present application is shown in the figure;

[0054] Figure 9 A cell processing device provided in the present application is shown in the structure diagram of the figure;

[0055] Figure 10 An electronic device 400 provided in the present application is shown in the structure diagram of the figure.

[0056] The above figures have shown the explicit embodiments of the present application, which will be described in more detail hereinafter. These figures and textual descriptions are not intended to limit the scope of the concept of the present application by any means, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0057] The exemplary embodiments will be described in detail herein with reference to the accompanying drawings. The following description is with reference to the drawings, in which like numerals represent like elements, unless otherwise specified. The embodiments described in the following exemplary embodiments are not representative of all embodiments consistent with the present application. Rather, they are merely examples of devices and methods consistent with some aspects of the present application, as detailed in the appended claims.

[0058] First, the terms involved in the present application are explained:

[0059] Independent networking: refers to a network architecture that does not rely on other existing communication systems, and completely independent networking using a single communication system core network and network equipment. For example, 5G independent networking refers to wireless communication networking using a newly built 5G core network and 5G network equipment, without relying on any other existing network architecture, such as a 4G network architecture.

[0060] Non-standalone networking: refers to a networking mode in which a network architecture of a new communication standard is built relying on a network architecture of an existing communication standard. For example, 5G non-standalone networking is to deploy a 5G network by using an existing 4G network architecture. The advantage of this networking mode is that, compared with standalone networking, the construction of this networking mode takes less time and costs less. However, the network communication speed of 5G non-standalone networking is larger than the network latency of 5G standalone networking, and thus cannot fully exert the communication advantages of the 5G network.

[0061] Based on the above characteristics, at present, in the initial stage of 5G network construction, SA+NSA dual-mode architecture networking is mainly adopted, and gradually transitioned to full standalone networking.

[0062] Cell: also referred to as a cell, refers to an area covered by a network device or a part (sector antenna) of a network device in a cellular mobile communication system. In this area, a terminal device (such as a mobile phone) can reliably communicate with a base station through a wireless channel.

[0063] Neighbor cell: also referred to as a neighbor cell or a neighboring cell, the neighbor cell of a serving cell (i.e., a cell currently accessed by a terminal device) is a cell that has an overlapping coverage area with the serving cell and that the terminal device can switch to from the serving cell when a handover condition is met, so as to have good communication quality. A cell can have multiple neighbor cells.

[0064] Anchor cell: under NSA, a cell of an existing communication standard relied on in the process of building a network architecture of a new communication standard is referred to as an anchor cell. A terminal device can access a communication signal of the new communication standard through the anchor cell. For example, in the process of adopting NSA mode networking, a 5G communication system relies on an existing 4G cell to access a 5G communication signal, and the 4G cell is the anchor cell.

[0065] Mismatch or misconfiguration of a neighbor cell has a significant impact on the communication quality of a terminal device. In the process of adopting NSA networking of a 5G communication system, in order to ensure the mobility and residence of 5G communication of a terminal device, the neighbor cells of a serving cell need to be set as anchor cells of the serving cell. At present, a 5G communication system mainly adopts SA+NSA dual-mode architecture networking, and thus, 5G neighbor cell / anchor cell optimization is a top priority in the actual networking process. In the process of adopting SA mode networking of a 5G communication system, the neighbor cells of a serving cell need to be determined, and in the process of adopting NSA mode networking, the neighbor cells and anchor cells of a serving cell need to be determined.

[0066] The current 5G neighborhood / anchor cell optimization usually does not consider the actual coverage scenario, but directly takes the 4G cell within a fixed distance (such as 500 meters or 1000 meters) from the service cell as the neighborhood / anchor cell. The above distance cannot accurately match the actual coverage of the current cell, which leads to too few neighborhood / anchor cells or a large number of invalid neighborhood / anchor cells, resulting in mismatch or missing of neighborhood / anchor cells, and poor optimization effect.

[0067] In addition, due to the inaccuracy of the above fixed distance, in the prior art, in order to ensure the availability of the neighborhood / anchor cell circled accordingly, the neighborhood / anchor cell circled is detected by related performance test software, and then the neighborhood / anchor cell is supplemented or deleted according to the detection result. The optimization method of adjusting after testing after circled is complicated and inefficient.

[0068] In addition, in the prior art, the distance for circled neighborhood / anchor cell and the neighborhood / anchor cell are usually determined by manual means. Due to the difference in the richness of the analysis personnel's optimization experience and the subjective standard of network problems, the optimization quality and efficiency of the neighborhood / anchor cell cannot be effectively guaranteed.

[0069] Therefore, the present application provides a cell processing method, which determines the distance for circled neighborhood / anchor cell based on the actual coverage of the cell, and then determines the neighborhood / anchor cell accordingly. The above method does not need to circled neighborhood / anchor cell by manual means, which improves the work efficiency. Moreover, since the method provided by the present application determines the distance for circled neighborhood / anchor cell in combination with the actual use of the terminal device in the cell coverage range, the accuracy of the determined distance is improved, and the circled neighborhood / anchor cell does not need to be detected by other detection methods subsequently, which improves the accuracy and availability of the determined neighborhood / anchor cell, simplifies the optimization steps, and improves the optimization efficiency of the neighborhood / anchor cell.

[0070] The execution subject of the present application can be, for example, an electronic device such as a server. The present application can be applied to the determination of anchor points and / or neighboring cells when networking in NSA mode, and can also be applied to the determination of neighboring cells when networking in SA mode. It should be understood that the present application does not limit the communication mode of the network built based on SA or NSA when the cell processing method provided by the present application is applied to optimize the neighboring cells and / or anchor point cells in the process of networking in NSA mode, and when it is applied to optimize the neighboring cells in the process of networking in SA mode. For example, when networking in SA mode, it can be 5G communication system SA, or it can be networking in SA mode based on any other communication mode; or when networking in NSA mode, it can be a 5G communication system based on the framework of a 4G network, or it can be another communication mode based on any other network architecture.

[0071] The technical solutions of the present application and how the technical solutions of the present application solve the above technical problems will be described in detail below with specific examples. The following specific examples can be combined with each other, and the same or similar concepts or processes can not be described again in some examples. The embodiments of the present application will be described below with reference to the accompanying drawings.

[0072] Figure 1 A flowchart of a neighboring cell processing method provided by the present application is shown in FIG. 1, which can include the following steps: Figure 1

[0073] S101, obtaining the position of a terminal device in the coverage range of a first cell, and a signal quality parameter value of the terminal device.

[0074] Figure 2 A schematic diagram of the position of a terminal device in the coverage range of a first cell is provided by the present application. The above-mentioned first cell can be any cell. The above-mentioned terminal device, which communicates using the communication signal of the first cell, can be, for example, a mobile phone, a tablet computer, etc. The above-mentioned signal quality parameter value can include, for example, the reference signal receiving power (RSRP), or other parameters representing the signal quality of the terminal device, such as the reference signal receiving quality (RSRQ).

[0075] ​In a possible implementation, the electronic device stores measurement report (MR) data of terminal devices in the coverage of the first cell, the MR data including the positions of the terminal devices and signal quality parameter values of the terminal devices, and the electronic device acquires the MR data to obtain the positions of the terminal devices and the signal quality parameter values of the terminal devices.

[0076] In another possible implementation, the electronic device acquires the positions of the terminal devices and the signal quality parameter values of the terminal devices in the coverage of the first cell from other devices (for example, a measurement device or a network device to which the first cell belongs). When the information is acquired from the network device to which the first cell belongs, the information may, for example, be sent in uplink signaling by the terminal devices after self-measurement.

[0077] S102. Clustering the terminal devices in the coverage of the first cell according to the signal quality parameter values of the terminal devices.

[0078] In this step, the electronic device clusters the terminal devices in the coverage of the first cell according to the signal quality parameter values of the terminal devices to obtain the signal distribution in the coverage of the first cell.

[0079] The application does not limit the clustering manner, for example, the K-MEANS algorithm or the K-MEDOIDS algorithm may be used. The application also does not limit the number of categories generated in the clustering process of the terminal devices in the coverage of the target cell, which may be set according to actual needs by those skilled in the art.

[0080] S103. Acquiring a first distance for determining the target cell of the first cell according to the clustering result and the position of the first cell.

[0081] As described above, the application does not limit the number of categories included in the clustering result. For example, when the signal quality parameter values of the terminal devices include RSRP and the clustering result includes three categories, the RSRP values of the three categories of terminal devices in the clustering result may, for example, cover three non-overlapping RSRP value intervals. The application does not limit the representation manner of the position of the first cell, for example, the position may be represented by longitude and latitude, which is related to the representation manner of the coordinate system used. The target cell includes a neighbor cell and / or an anchor cell.

[0082] In this step, the electronic device may filter the terminal devices of a category in the clustering result that meets a preset condition according to the clustering result and the position of the first cell. Then, a first distance for determining the target cell of the first cell is acquired according to the position of the terminal devices of the category and the position of the first cell.

[0083] The application does not limit the specific content of the preset condition, for example, n types of terminal devices with better signal quality can be selected from the clustering result, or m types of terminal devices with poor signal quality can be selected from the clustering result, where n and m are greater than or equal to 1, and the value is less than the number of all categories generated in the clustering result.

[0084] As for the manner in which the electronic device obtains the first distance according to the positions of the terminal devices of the screened category and the position of the first cell, for example, the electronic device can calculate the expected position of the positions of all terminal devices of the screened category, and then calculate the distance between the expected position and the position of the first cell as the first distance; or the electronic device can calculate the average value of the distances between the positions of all terminal devices of the screened category and the position of the first cell, and take the average value as the first distance.

[0085] S104, determining the target cell of the first cell from the surrounding cells of the first cell according to the first distance and the position of the first cell.

[0086] The electronic device can determine the target cell of the first cell from the surrounding cells of the first cell according to only the first distance and the position of the first cell; or the electronic device can determine the target cell of the first cell in combination with other judgment conditions on this basis. The application does not limit the specific content of the other judgment conditions, for example, the signal transmission power and coverage radius of the surrounding cells of the first cell.

[0087] The manner in which the electronic device determines the target cell of the first cell from the surrounding cells of the first cell according to the first distance and the position of the first cell is related to the manner in which the electronic device determines the first distance.

[0088] S105, adding the identifier of the target cell of the first cell to the target cell list of the first cell.

[0089] The identifier of the target cell of the first cell described above can be the number of the target cell, for example. When the target cell of the first cell is a neighbor cell, the neighbor cell of the first cell is added to the neighbor cell list of the first cell. Subsequently, when the terminal device enters the coverage range of the neighbor cell located in the neighbor cell list of the first cell with the first cell as the serving cell, the terminal device can switch the serving cell to the neighbor cell to ensure better communication quality of the terminal device.

[0090] When the target cell of the first cell is an anchor cell, the anchor cell of the first cell is added to the anchor cell list of the first cell. Subsequently, when the terminal device enters the coverage range of an anchor cell and the anchor cell is a neighboring cell of the first cell while the first cell is a serving cell, the anchor cell is selected as a serving cell. When the first cell and the anchor cell are both 5G cells, the 5G mobility and camping of the terminal device can be ensured by the above method, and the communication quality of the terminal device can be ensured.

[0091] When the target cell of the first cell includes a neighboring cell and an anchor cell, the electronic device can add the neighboring cell to the neighboring cell list and add the anchor cell to the anchor cell list, respectively.

[0092] In this embodiment, the electronic device obtains the positions of the terminal devices in the coverage range of the first cell and the signal quality parameter values of the terminal devices, and then clusters the terminal devices in the coverage range of the first cell according to the signal quality parameter values, so as to represent the actual signal distribution in the coverage range of the first cell by the clustering result. Subsequently, the electronic device can obtain the first distance for determining the target cell of the first cell according to the clustering result and the position of the first cell.

[0093] By the above method, the electronic device can determine the first distance for circumscribing the neighboring cell and / or the anchor cell of the first cell according to the signal quality parameter values of the terminal devices in the coverage range of the first cell, i.e., the actual signal distribution of the first cell, and then determine the neighboring cell and / or the anchor cell of the first cell according to the first distance. In this way, the determined first distance can be more suitable for the actual coverage scenario of the first cell, and the accuracy and availability of the determined neighboring cell and / or anchor cell of the first cell can be improved, and the occurrence of mismatching and missing can be avoided. When the method of this embodiment is applied to the optimization of 5G neighboring cells and anchor cells, the 5G mobility and camping of the terminal device can be improved, the communication quality of the user can be improved, and the 5G perception and experience effect of the user can be improved.

[0094] In addition, the method provided in this embodiment does not need to detect the availability of the neighboring cell and / or the anchor cell by other detection methods after circumscribing the neighboring cell and / or the anchor cell, and does not need to determine the neighboring cell and / or the anchor cell by any other artificial means, thereby reducing the optimization difficulty of the neighboring cell / anchor cell and improving the optimization efficiency of the neighboring cell and / or the anchor cell.

[0095] Hereinafter, taking the signal quality parameter including RSRP as an example, how to obtain the first distance for determining the target cell of the first cell according to the clustering result and the position of the first cell, i.e., step S103 in the above embodiment, is described. Figure 3 Another flowchart of a cell processing method provided in this application is shown in FIG. 6. Figure 3As shown, step S103 may include the following steps:

[0096] S201. Determine, based on a clustering result, a target terminal device whose reference signal received power is greater than or equal to a preset received power threshold.

[0097] This application does not limit the specific value of the above-mentioned preset receiving power threshold, and those skilled in the art can set it according to actual conditions. The larger the value of RSRP, the better the communication quality of the terminal device at the current location, and the less likely it is to have unstable communication signals. If the neighboring cell and the anchor cell of the first cell are located at the current location, or at a location closer to the first cell than the current location, it will help to improve the mobility and residency of the terminal device. Therefore, in this step, the electronic device determines the target terminal device whose RSRP is greater than or equal to the preset receiving power threshold from the terminal devices based on the clustering result, and then determines the first distance accordingly.

[0098] Figure 4 A schematic diagram of clustering results provided for this application, such as Figure 4 As shown in Table 1, the electronic equipment clusters the terminal equipment into 3 categories, as shown in Table 1. Figure 4 The clustering results shown include specific categories. Assuming that the preset received power threshold is -103dBm, the electronic device selects the terminal device in the category (ie, the third category) with RSRP greater than or equal to -103dBm in the clustering results as the target terminal device.

[0099] Table 1

[0100]

[0101]

[0102] S202: Acquire a first distance of a target cell for determining the first cell according to the location of the target terminal device and the location of the first cell.

[0103] One possible implementation is Figure 5 A schematic diagram of a cell processing method provided in this application, such as Figure 5 As shown, the electronic device obtains the expected location of all target terminal devices and uses the distance between the expected location and the location of the first cell as the first distance. For example, using longitude and latitude as an example to represent the location, the electronic device uses the expected longitude of the locations of all target terminal devices as the longitude of the expected location and the expected latitude of the locations of all target terminal devices as the latitude of the expected location to determine the expected location.

[0104] In another possible implementation, the electronic device calculates the distance between the location of each target terminal device and the location of the first cell respectively, and obtains the average value of the distance according to the distance, and takes the average value of the distance as the first distance of the target cell of the first cell.

[0105] In this embodiment, the electronic device determines the target terminal device whose RSRP is greater than or equal to the preset reception power threshold according to the clustering result, and then obtains the first distance for determining the target cell of the first cell according to the location of the target terminal device and the location of the first cell. In this way, the electronic device can filter out a type of terminal devices with good communication quality from the clustering result, and determine the first distance according to the type of terminal devices. When the electronic device determines the target cell of the first cell according to the first distance, it can be ensured that if the surrounding cells within the first distance from the first cell are taken as the neighbor / anchor cell, the terminal device can have good communication quality, that is, the accuracy and availability of the neighbor / anchor cell determined according to the first distance can be improved, and the occurrence of mismatching and missing can be reduced. When the method of this embodiment is applied to the determination of the 5G neighbor / anchor cell, the good 5G mobility and camping of the terminal device can be ensured.

[0106] As described above, the way in which the electronic device determines the target cell of the first cell from the surrounding cells of the first cell according to the first distance and the location of the first cell is related to the way in which the electronic device determines the first distance.

[0107] For example, if the electronic device filters out a type of terminal devices with good communication quality from the clustering result, and obtains the first distance according to the distance of the type of terminal devices and the distance of the first cell, the electronic device can determine all the surrounding cells of the first cell within the first distance from the location of the first cell as the target cell of the first cell.

[0108] Alternatively, if the electronic device filters out a type of terminal devices with poor communication quality from the clustering result, and obtains the first distance according to the distance of the type of terminal devices and the distance of the first cell, the electronic device can determine not to take the surrounding cells beyond the first distance from the location of the first cell as the target cell of the first cell, but to determine the target cell of the first cell from the surrounding cells of the first cell within the first distance from the location of the first cell in combination with other filtering conditions. For example, the electronic device can determine all the surrounding cells within a preset distance from the location of the first cell and the macro station beyond the preset distance and less than the first distance from the location of the first cell as the target cell of the first cell. The value of the preset distance is less than the value of the first distance, and the specific value of the preset distance is not limited in the present application, and can be determined by the person skilled in the art according to the actual situation.

[0109] The following describes how to determine the target cell of the first cell from the surrounding cells of the first cell according to the first distance and the location of the first cell, i.e., step S105 in the above embodiment, with specific embodiments.

[0110] Figure 6 Another cell processing method provided in the present application is shown in the flowchart as follows. Figure 6 The step S104 can include the following steps.

[0111] S301, obtaining the downlink path loss of the first cell at the minimum edge field strength, the antenna hanging height of the network device to which the first cell belongs, and the road test data of the first cell.

[0112] The minimum edge field strength can be the minimum wireless signal strength of the cell required to ensure the communication quality of the terminal device. In order to further reduce the mismatch and missing of the neighboring / anchor cell and improve the accuracy of determining the target cell, in this step, the electronic device obtains the downlink path loss of the first cell at the minimum edge field strength, the antenna hanging height of the network device to which the first cell belongs, and the road test data of the first cell, to further obtain the second distance for determining the target cell.

[0113] The road test data of the first cell can include at least one of the following, for example: building height, road width, coverage distance, carrier center frequency, height of the terminal device.

[0114] The electronic device can obtain the above-mentioned downlink path loss, the antenna hanging height of the network device to which the first cell belongs, and the road test data of the first cell from other devices (such as measurement devices, or from the network device to which the first cell belongs); or can obtain the above-mentioned data content input by the user. For example, the electronic device has an interactive interface, which can obtain the above-mentioned data content input by the user.

[0115] Alternatively, the electronic device can adopt different acquisition methods for different data. For example, the electronic device can obtain the antenna hanging height of the network device to which the first cell belongs and the road test data of the first cell by the above-mentioned two methods, and for the downlink path loss of the first cell at the minimum edge field strength, the electronic device can determine the above-mentioned downlink path loss according to the pre-stored minimum edge field strength of the first cell and the mapping relationship between the minimum edge field strength and the downlink path loss of the first cell. Alternatively, the electronic device can obtain the downlink path loss of the first cell at the minimum edge field strength according to the transmission power of the antenna of the network device, the gain of the antenna, the vehicle body loss, the human body loss, and the following formula.

[0116] The above formula is: TX+G-PL-Cs-Rs≤Rx. Wherein, TX is the transmitting power of the antenna of the network device; G is the gain of the antenna of the network device; PL is the downlink path loss; Cs is the vehicle body loss; Rs is the human body loss; and Rx is the minimum edge field intensity. The application does not limit the specific values of the above parameters. For example, since Cs and Rs are usually small, the actual values of Cs and Rs can be 0 when the values are taken.

[0117] For example, the electronic device stores the transmitting power of the antenna of the network device, the gain of the antenna, the vehicle body loss, the human body loss, and the above formula. The electronic device calculates the downlink path loss of the first cell at the minimum edge field intensity according to the above content.

[0118] S302, according to the downlink path loss of the first cell at the minimum edge field intensity, the antenna hanging height, and the road test data of the first cell, the second distance for determining the target cell of the first cell is obtained.

[0119] In a possible implementation, the electronic device obtains the second distance for determining the target cell of the first cell by using a propagation model. The application does not limit the type of the specific propagation model used.

[0120] For example, the above road test data of the first cell includes: building height, road width, coverage distance, carrier center frequency, and height of terminal device. The electronic device obtains the second distance for determining the target cell of the first cell by using a non-line-of-sight loss model according to the downlink path loss of the first cell at the minimum edge field intensity, the antenna hanging height, and the road test data of the first cell.

[0121] The above non-line-of-sight loss model is the non-line-of-sight loss (Uma-NLOS) model defined by the 3rd Generation Partnership Project (3GPP). The formula corresponding to the model is: PL(Uma-NLOS) = 161.04-7.1lgW+7.5lgh-(24.37-3.7(h / hbs)^2)lghbs+(43.42-3.1lghbs)(lgd-3)+20lgfc-(3.2(lg17.625)^2-4.97)-0.6(hut-1.5). Wherein, W is the road width, h is the building height, hbs is the antenna hanging height, d is the coverage distance of the cell, fc is the carrier center frequency, and hut is the height of the terminal device.

[0122] Thus, since the downlink path loss of the first cell at the minimum edge field strength, the antenna hanging height, and the road test data of the first cell in the formula are known, d can be calculated by using the above non-line-of-sight path loss model. That is, d = 10^(((PL-161.04+7.1lgW-7.5lgh+(24.37-3.7(35 / hbs)^2)lghbs-20lgfc+(3.2(lg17.625)^2-4.97)+0.6(hut-1.5)) / (43.42-3.1lghbs))+3). Wherein d is the second distance of the target cell of the first cell, that is, the distance of the first cell corresponding to the minimum edge field strength of the first cell.

[0123] In another possible implementation, the electronic device stores a mapping relationship of the downlink path loss, the antenna hanging height, the road test data of the first cell, and the second distance, and the electronic device obtains the second distance according to the downlink path loss, the antenna hanging height, the road test data of the first cell, and the mapping relationship.

[0124] S303, determining the target cell of the first cell from the surrounding cells of the first cell according to the first distance, the second distance, and the position of the first cell.

[0125] The first distance is determined according to the signal quality of the terminal device in the coverage range of the first cell, that is, the actual signal distribution of the first cell, and the second distance is determined according to the minimum edge field strength and other parameters under the actual coverage scenario of the first cell. In this step, the electronic device determines the target cell of the first cell from the surrounding cells of the first cell according to the first distance, the second distance, and the position of the first cell, which can realize accurate judgment of the target cell, further improve the accuracy of determining the target cell of the first cell, and reduce the occurrence of mismatch and leakage of the first cell.

[0126] In one possible implementation, Figure 7 Another cell processing method provided in the present application is shown in the schematic diagram, Figure 8 Another cell processing method provided in the present application is shown in the schematic diagram, Figure 7 and Figure 8 As shown in the schematic diagram, the electronic device takes the surrounding cell within the first distance from the first cell as the target cell of the first cell, and takes the surrounding cell within the second distance from the first cell and having a signal transmission power greater than or equal to a preset power threshold as the target cell of the first cell, and does not take any cell farther than the second distance from the first cell as the target cell of the first cell.

[0127] The specific value of the preset power threshold is not limited in the present application, and can be set by the skilled person in the art according to the actual situation. For example, the preset power threshold can be the power of a macro base station, and the electronic device takes the macro base station in the surrounding cell as the target cell of the first cell, and does not take other base stations, such as a micro base station, as the target cell of the first cell.

[0128] In another possible implementation, the electronic device takes the surrounding cell within a first distance from the first cell as the target cell of the first cell, and takes the surrounding cell within a distance greater than the first distance and less than or equal to a second distance and with a coverage radius greater than or equal to a preset radius threshold as the target cell of the first cell, and does not take any cell with a distance greater than the second distance from the first cell as the target cell of the first cell. The specific value of the preset radius threshold is not limited in the present application, and can be set by the skilled person in the art according to the actual situation.

[0129] In the above two implementations, the first distance is less than the second distance. In the above two implementations, when the first distance is determined according to the terminal device in the cluster result with good signal quality, by the above method, the surrounding cell located in the range with good signal quality of the first cell can be preferentially determined as the target cell, which can avoid the situation of missing and misconfiguring. Then, the surrounding cell between the first distance and the second distance is further judged according to the power or the coverage radius of the surrounding cell, which can realize the differentiation and fine processing of the surrounding cells of the first cell, and further improve the optimization accuracy. In addition, since the second distance is determined according to the minimum edge field strength, the surrounding cell outside the second distance is not determined as the target cell, which can avoid adding invalid cells as the target cell.

[0130] In the present embodiment, the electronic device obtains the downlink path loss of the first cell at the minimum edge field strength, the antenna height of the network device to which the first cell belongs, and the road test data of the first cell, and then determines the second distance of the target cell of the first cell according to the above information. Then, the electronic device determines the target cell of the first cell from the surrounding cells of the first cell according to the first distance, the second distance, and the position of the first cell. In this way, the electronic device can determine the second distance corresponding to the minimum edge field strength of the first cell in combination with the actual coverage scenario of the first cell such as the antenna height and the road test data of the first cell, and then determine the target cell of the first cell according to the second distance, which can make the determined second distance fit the actual coverage scenario of the first cell, further improve the accuracy and availability of the target cell of the first cell determined according to the second distance, and further improve the mobility and residence of the terminal device.

[0131] Further, the embodiment determines the target cell of the first cell according to the first distance and the second distance and the location of the first cell, can realize the differentiation and fine processing of the surrounding cells of the first cell in different locations, and further improves the availability of the determined target cell of the first cell.

[0132] Figure 9 A structural schematic diagram of a cell processing apparatus provided in the application is shown in the figure, which comprises a first acquisition module 11, a clustering module 12, a second acquisition module 13, a determination module 14 and an adding module 15. Figure 9

[0133] The first acquisition module 11 is configured to acquire the location of a terminal device in the coverage range of a first cell and a signal quality parameter value of the terminal device.

[0134] The clustering module 12 is configured to cluster the terminal devices in the coverage range of the first cell according to the signal quality parameter value of the terminal device.

[0135] The second acquisition module 13 is configured to acquire a first distance for determining the target cell of the first cell according to the clustering result and the location of the first cell.

[0136] The determination module 14 is configured to determine the target cell of the first cell from the surrounding cells of the first cell according to the first distance and the location of the first cell; the target cell comprises a neighboring cell and / or an anchor cell.

[0137] The adding module 15 is configured to add the identifier of the target cell of the first cell to the target cell list of the first cell.

[0138] In a possible implementation, the signal quality parameter comprises a reference signal received power; the second acquisition module 13 is specifically configured to determine target terminal devices with a reference signal received power greater than or equal to a preset received power threshold according to the clustering result; and acquire a first distance for determining the target cell of the first cell according to the location of the target terminal device and the location of the first cell.

[0139] For example, the second acquisition module 13 is specifically configured to acquire an expected location of the location of all target terminal devices; and take the distance between the expected location and the location of the first cell as the first distance.

[0140] ​In a possible implementation, the determining module 14 is specifically configured to: acquire the downlink path loss of the first cell at the minimum edge field intensity, the antenna hanging height of the network device to which the first cell belongs, and the road test data of the first cell; acquire a second distance for determining the target cell of the first cell according to the downlink path loss of the first cell at the minimum edge field intensity, the antenna hanging height, and the road test data of the first cell; and determine the target cell of the first cell from the surrounding cells of the first cell according to the first distance, the second distance, and the location of the first cell.

[0141] For example, the determining module 14 is specifically configured to: take the surrounding cell within the first distance from the first cell as the target cell of the first cell; and take the surrounding cell within the first distance and the second distance from the first cell and having a signal transmission power greater than or equal to a preset power threshold as the target cell of the first cell.

[0142] For example, the determining module 14 is specifically configured to: acquire the downlink path loss of the first cell at the minimum edge field intensity according to the transmission power of the antenna of the network device, the gain of the antenna, the vehicle body loss, the human body loss, and the following formula.

[0143] The formula is as follows: TX+G-PL-Cs-Rs≤Rx

[0144] Wherein, TX is the transmission power of the antenna of the network device; G is the gain of the antenna of the network device; PL is the downlink path loss; Cs is the vehicle body loss; Rs is the human body loss; and Rx is the minimum edge field intensity.

[0145] In a possible implementation, the road test data of the first cell includes at least one of the following: building height, road width, coverage distance, carrier center frequency, and height of a terminal device; the determining module 14 is specifically configured to acquire a second distance for determining the target cell of the first cell according to the downlink path loss of the first cell at the minimum edge field intensity, the antenna hanging height, and the road test data of the first cell, and acquire the second distance by using a non-line-of-sight loss model.

[0146] The cell processing apparatus provided in the present application can execute the cell processing method in the method embodiments, and has similar implementation principles and technical effects, which will not be described here. It should be noted that the above Figure 8 The division of each module shown in the above is only a schematic, and the division of each module and the naming of each module are not limited.

[0147] Figure 10A structural schematic diagram of an electronic device 400 is provided in the present application. As shown in the figure, the electronic device can include at least one processor 401, a memory 402. Figure 10

[0148] The memory 402 is configured to store a program. Specifically, the program can include program code, and the program code includes computer operation instructions.

[0149] The memory 402 can include a high-speed RAM memory, and can also include a non-volatile memory, for example, at least one disk memory.

[0150] The processor 401 is configured to execute the computer operation instructions stored in the memory 402, so as to implement the cell processing method described in the foregoing method embodiments. The processor 401 can be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0151] The electronic device 400 can further include a communication interface 403, so that the communication interface 403 can be used to communicate with an external device, for example, a terminal device (for example, a mobile phone, a tablet). In a specific implementation, if the communication interface 403, the memory 402 and the processor 401 are independently implemented, the communication interface 403, the memory 402 and the processor 401 can be connected with each other through a bus and complete communication therebetween. The bus can be an industry standard architecture (ISA) bus, a peripheral component (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc., but it does not mean that there is only one bus or only one type of bus.

[0152] Optionally, in a specific implementation, if the communication interface 403, the memory 402 and the processor 401 are integrated on a chip, the communication interface 403, the memory 402 and the processor 401 can complete communication through an internal interface.

[0153] ​The application further provides a computer readable storage medium, which can include a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various storage medium capable of storing program codes. Specifically, the computer readable storage medium stores program instructions, and the program instructions are used for the cell processing method in the above embodiments.

[0154] The application further provides a computer program product, which includes execution instructions stored in a readable storage medium. At least one processor of an electronic device can read the execution instructions from the readable storage medium, and the at least one processor executes the execution instructions to enable the electronic device to implement the cell processing method provided in the various embodiments.

[0155] Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. It is intended that the application be limited only by the scope of the claims, a properly construed, and any equivalents thereof. It is intended that the specification and examples be considered exemplary only, with the true scope and spirit of the application being indicated by the following claims.

[0156] It is to be understood that the application is not limited to the precise construction described and as shown in the attached figures, and that various modifications and changes can be made by those skilled in the art without departing from the scope of the application. The scope of the application is to be determined by the claims appended hereto.

Claims

1. A cell processing method, characterized in that: The method comprises: Obtaining a location of a terminal device within the coverage of the first cell, and a signal quality parameter value of the terminal device; Clustering the terminal devices within the coverage of the first cell according to the signal quality parameter values ​​of the terminal devices; Acquire, according to the clustering result and the position of the first cell, a first distance for determining a target cell of the first cell; Determine, according to the first distance and the position of the first cell, a target cell of the first cell from cells surrounding the first cell; the target cell includes a neighboring cell and / or an anchor cell; Adding an identifier of a target cell of the first cell to a target cell list of the first cell.

2. The method according to claim 1, characterized in that The signal quality parameters include: reference signal received power; The acquiring, based on the clustering result and the position of the first cell, a first distance to a target cell for determining the first cell includes: Determine, based on the clustering result, a target terminal device whose reference signal received power is greater than or equal to a preset received power threshold; According to the location of the target terminal device and the location of the first cell, a first distance to a target cell for determining the first cell is acquired.

3. The method according to claim 2, characterized in that The acquiring, based on the location of the target terminal device and the location of the first cell, a first distance to a target cell for determining the first cell includes: Obtaining the expected locations of all target terminal devices; The distance between the desired position and the position of the first cell is used as the first distance.

4. The method according to any one of claims 1 to 3, characterized in that The determining, based on the first distance and the position of the first cell, a target cell of the first cell from cells surrounding the first cell includes: Obtaining a downlink path loss of the first cell at minimum edge field strength, an antenna height of a network device to which the first cell belongs, and drive test data of the first cell; Acquire, according to the downlink path loss of the first cell at minimum edge field strength, the antenna height, and the drive test data of the first cell, a second distance for determining a target cell for the first cell; A target cell for the first cell is determined from neighboring cells of the first cell according to the first distance, the second distance, and the location of the first cell.

5. The method according to claim 4, characterized in that The determining, based on the first distance, the second distance, and the position of the first cell, a target cell of the first cell from cells surrounding the first cell includes: Using neighboring cells within the first distance from the first cell as target cells for the first cell; and A neighboring cell that is within a range greater than the first distance and less than or equal to the second distance from the first cell and has a signal transmission power greater than or equal to a preset power threshold is used as a target cell for the first cell.

6. The method according to claim 4, characterized in that The obtaining of the downlink path loss of the first cell at the minimum edge field strength includes: Obtaining a downlink path loss of the first cell at minimum edge field strength based on the transmission power of the antenna of the network device, the gain of the antenna, the vehicle body loss, the human body loss, and the following formula; The formula is as follows: TX+G-PL-Cs-Rs≤Rx Among them, TX is the transmission power of the antenna of the network device; G is the gain of the antenna of the network device; PL is the downlink path loss; Cs is the vehicle body loss; Rs is the human body loss; and Rx is the minimum fringe field strength.

7. The method according to claim 4, characterized in that The drive test data of the first cell includes at least one of the following: building height, road width, coverage distance, carrier center frequency, and height of terminal equipment; The acquiring, based on the downlink path loss of the first cell at the minimum edge field strength, the antenna height, and the drive test data of the first cell, a second distance for determining a target cell of the first cell includes: A second distance to a target cell for determining the first cell is obtained based on the downlink path loss of the first cell at minimum edge field strength, the antenna height, and the road test data of the first cell, and the second distance is obtained using a non-line-of-sight path loss model.

8. A cell processing device, characterized in that: The device comprises: A first acquisition module is used to obtain the position of a terminal device within the coverage of a first cell and a signal quality parameter value of the terminal device; a clustering module, configured to cluster terminal devices within the coverage of the first cell according to signal quality parameter values ​​of the terminal devices; a second acquisition module, configured to acquire, based on the clustering result and the position of the first cell, a first distance to a target cell for determining the first cell; a determination module, configured to determine a target cell of the first cell from cells surrounding the first cell according to the first distance and the position of the first cell; the target cell includes a neighboring cell and / or an anchor cell; An adding module is configured to add an identifier of a target cell of the first cell to a target cell list of the first cell.

9. An electronic device, characterized in that: The electronic device comprises: a processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the cell processing method according to any one of claims 1 to 7.

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