Cell capacity expansion method and device, and computer readable storage medium

Abstract

The application provides a cell capacity expansion method and device and a computer readable storage medium, relates to the technical field of communication, and can improve the utilization rate of wireless resources. The method comprises the following steps: acquiring M first load parameters corresponding to N first cells, each first cell corresponding to at least one first load parameter, each first load parameter being used for representing the load condition of the corresponding first cell in a time period, N being a positive integer, and M being a positive integer greater than or equal to N; determining L second cells corresponding to the first load parameters from the N first cells according to the M first load parameters, the second load parameter existing in the corresponding first load parameter of the L second cells, the parameter value of the second load parameter being greater than or equal to a first preset threshold, and L being a positive integer less than or equal to N; determining a target cell from the L second cells according to the second load parameters corresponding to the L second cells, and performing a capacity expansion process on the target cell. The embodiments of the application are used in the process of cell capacity expansion.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of communication technology, and in particular to a cell capacity expansion method, device and computer readable storage medium. BACKGROUND

[0002] Generally, an operator can determine whether the capacity of a cell corresponding to the operator meets the demand of users according to user complaints (or the results of on-site speed measurement), and perform capacity expansion on some cells whose capacity cannot meet the demand of users, so as to improve the network quality of the operator and improve the user experience.

[0003] However, due to the complex and changeable environment of some cells corresponding to the operator, it may not be possible to accurately determine whether the capacity of the cells meets the demand of users according to user complaints (or the results of on-site speed measurement), so there may be a situation of performing capacity expansion on cells whose capacity can meet the demand of users, which leads to waste of wireless resources. SUMMARY

[0004] The present application provides a cell capacity expansion method, device and computer readable storage medium, which can improve the utilization rate of wireless resources.

[0005] To achieve the above-mentioned purpose, the present application adopts the following technical solutions:

[0006] In a first aspect, the present application provides a cell capacity expansion method, which comprises: obtaining M first load parameters corresponding to N first cells, each first cell corresponding to at least one first load parameter, each first load parameter being used to represent the load condition of the corresponding first cell in a time period, N being a positive integer, and M being a positive integer greater than or equal to N; determining L second cells from the N first cells according to the M first load parameters, wherein the corresponding first load parameter of each second cell contains a second load parameter, the parameter value of the second load parameter being greater than or equal to a first preset threshold, and L being a positive integer less than or equal to N; determining a target cell from the L second cells according to the second load parameters corresponding to the L second cells, and performing a capacity expansion process on the target cell.

[0007] Based on the technical solution, the cell capacity expansion method provided by the embodiment of the present application can first acquire M first load parameters corresponding to N first cells, each first cell corresponding to at least one first load parameter, and each first load parameter being used to represent the load condition of the corresponding first cell in a time period, then determine L second cells corresponding to the second load parameter with a parameter value greater than or equal to a first preset threshold from the N first cells, and determine a target cell from the L second cells according to the second load parameter corresponding to the L second cells, and perform a capacity expansion process on the target cell. Since the M first load parameters representing the load conditions of the N first cells in multiple time periods can be acquired first, then the L second cells corresponding to the first load parameter greater than or equal to the first preset threshold are determined, and the target cell is determined according to the second load parameter corresponding to the L second cells, that is, the target cell can be determined multiple times, instead of being determined according to user complaints (or the result of on-site speed measurement), so that the cell (i.e., the target cell) whose capacity cannot meet the user's demand can be accurately determined, and the target cell is expanded, thereby improving the utilization rate of wireless resources.

[0008] In a first possible implementation manner of the first aspect, any one of the M first load parameters includes at least one of the following: the number of active users, and the cell downlink traffic. In a case where the any one of the first load parameters includes the number of active users, the first preset threshold includes a user number threshold; in a case where the any one of the first load parameters includes the cell downlink traffic, the first preset threshold includes a downlink traffic threshold.

[0009] In a second possible implementation manner of the first aspect, the any one of the first load parameters includes the number of active users and the cell downlink traffic; before the M first load parameters corresponding to the N first cells are acquired, the method further includes: acquiring Q first corresponding relationships and T second corresponding relationships, each first corresponding relationship being a corresponding relationship between one experience rate satisfaction degree and one number of active users, and each second corresponding relationship being a corresponding relationship between one number of active users and one cell downlink traffic, Q and T being positive integers; determining a first number of active users corresponding to a preset experience rate satisfaction degree by using the Q first corresponding relationships, and determining the first number of active users as the user number threshold; and determining a first cell downlink traffic as the downlink traffic threshold by using the T second corresponding relationships, the first cell downlink traffic being a cell downlink traffic corresponding to an inflection point in a cross-correlation curve of the T numbers of active users and corresponding cell downlink traffics. The Q first corresponding relationships and the T second corresponding relationships are determined according to historical network data of the N first cells.

[0010] In a third possible implementation of the first aspect, the determining the target cell from the L second cells according to the second load parameters of the L second cells comprises: determining expansion priorities of the L second cells according to the second load parameters of the L second cells, wherein the expansion priority of any one of the L second cells is related to at least one of the following: a quantity of the second load parameters corresponding to the any one of the L second cells, a quantity of the third load parameters in the second load parameters corresponding to the any one of the L second cells, wherein the third load parameter is used to represent the load condition of the corresponding second cell in a predetermined time period; and determining the second cell with the highest expansion priority from the L second cells as the target cell.

[0011] In a fourth possible implementation of the first aspect, after the determining the target cell from the L second cells according to the second load parameters of the L second cells, the method further comprises: obtaining N fourth load parameters corresponding to the N first cells respectively, wherein each fourth load parameter is used to represent the load condition of the corresponding first cell; and performing a load balancing process on the N first cells in a case where any one of the N fourth load parameters satisfies a preset condition.

[0012] In a fifth possible implementation of the first aspect, the any one of the N fourth load parameters comprises at least one of the following: a first RRC maximum number of connected users, a first radio resource utilization rate; and the performing the load balancing process on the N first cells in the case where the any one of the N fourth load parameters satisfies the preset condition comprises at least one of the following: performing the load balancing process on the N first cells in a case where the first RRC maximum number of connected users is greater than a preset number of users, and a ratio between the first RRC maximum number of connected users and a second RRC maximum number of connected users is located outside a first preset range; and performing the load balancing process on the N first cells in a case where the first radio resource utilization rate is greater than a preset utilization rate, and a difference between the first radio resource utilization rate and a second radio resource utilization rate is greater than a preset difference. The fifth load parameter comprises the second RRC maximum number of connected users and the second radio resource utilization rate, and the fifth load parameter is any one of the N fourth load parameters except the any one of the N fourth load parameters.

[0013] In a second aspect, the present application provides a cell capacity expansion device, which comprises an obtaining module and a processing module. The obtaining module is configured to obtain M first load parameters corresponding to N first cells, each first cell corresponding to at least one first load parameter, each first load parameter being used to represent the load condition of the corresponding first cell in a time period, N being a positive integer, and M being a positive integer greater than or equal to N. The processing module is configured to determine, from the N first cells, L second cells in which a second load parameter exists in the corresponding first load parameters according to the M first load parameters obtained by the obtaining module, the parameter value of the second load parameter being greater than or equal to a first preset threshold, L being a positive integer less than or equal to N; and determine a target cell from the L second cells according to the second load parameters corresponding to the L second cells, and perform a capacity expansion process on the target cell.

[0014] In a first possible implementation manner of the second aspect, any one of the M first load parameters comprises at least one of the following: a number of active users and a cell downlink traffic. In a case where the any one of the first load parameters comprises the number of active users, the first preset threshold comprises a user number threshold; and in a case where the any one of the first load parameters comprises the cell downlink traffic, the first preset threshold comprises a downlink traffic threshold.

[0015] In a second possible implementation manner of the second aspect, the any one of the first load parameters comprises the number of active users and the cell downlink traffic. The obtaining module is further configured to obtain Q first corresponding relationships and T second corresponding relationships, each first corresponding relationship being a corresponding relationship between one experience rate satisfaction degree and one number of active users, and each second corresponding relationship being a corresponding relationship between one number of active users and one cell downlink traffic, Q and T being positive integers. The processing module is further configured to determine a first number of active users corresponding to a preset experience rate satisfaction degree by using the Q first corresponding relationships, and determine the first number of active users as the user number threshold; and determine a first cell downlink traffic as the downlink traffic threshold by using the T second corresponding relationships, the first cell downlink traffic being a cell downlink traffic corresponding to an inflection point of a cross-correlation curve of the T numbers of active users and corresponding cell downlink traffics. The Q first corresponding relationships and the T second corresponding relationships are determined according to historical network data of the N first cells.

[0016] In a third possible implementation manner of the second aspect, the processing module is specifically configured to determine the expansion priorities of the L second cells according to the second load parameters corresponding to the L second cells, wherein the expansion priority of any one of the L second cells is related to at least one of the following: the number of the second load parameters corresponding to the any one of the second cells, the number of the third load parameters in the second load parameters corresponding to the any one of the second cells, the third load parameter being used to represent the load condition of the corresponding second cell in a predetermined time period; and determine the second cell with the highest expansion priority among the L second cells as the target cell.

[0017] In a fourth possible implementation manner of the second aspect, the obtaining module is further configured to obtain N fourth load parameters corresponding to the N first cells respectively, and each fourth load parameter is used to represent the load condition of the corresponding first cell. The processing module is further configured to perform the load balancing process on the N first cells in a case where any one of the N fourth load parameters obtained by the obtaining module satisfies a preset condition.

[0018] In a fifth possible implementation manner of the second aspect, the any one of the fourth load parameters includes at least one of the following: a first RRC maximum number of connected users and a first radio resource utilization rate. The processing module is specifically configured to perform the load balancing process on the N first cells in at least one of the following cases: a case where the first RRC maximum number of connected users is greater than a preset number of users, and a ratio between the first RRC maximum number of connected users and a second RRC maximum number of connected users is located outside a first preset range; and a case where the first radio resource utilization rate is greater than a preset utilization rate, and a difference between the first radio resource utilization rate and a second radio resource utilization rate is greater than a preset difference. The fifth load parameter includes the second RRC maximum number of connected users and the second radio resource utilization rate, and the fifth load parameter is any one of the N fourth load parameters except the any one of the fourth load parameters.

[0019] In a third aspect, the present application provides a cell expansion device, which comprises a processor and a communication interface; the communication interface and the processor are coupled, and the processor is used to run computer programs or instructions to realize the cell expansion method as described in the first aspect and any possible implementation manner of the first aspect.

[0020] In a fourth aspect, the present application provides a computer readable storage medium, and the computer readable storage medium stores instructions, when the instructions are run on a terminal, the terminal executes the cell expansion method as described in the first aspect and any possible implementation manner of the first aspect.

[0021] In a fifth aspect, an embodiment of the present application provides a computer program product comprising instructions which, when the computer program product runs on a cell capacity expansion device, cause the cell capacity expansion device to perform the cell capacity expansion method described in the first aspect and any possible implementation manner of the first aspect.

[0022] In a sixth aspect, an embodiment of the present application provides a chip, the chip comprising a processor and a communication interface, the communication interface and the processor being coupled, and the processor being configured to run a computer program or instructions to implement the cell capacity expansion method described in the first aspect and any possible implementation manner of the first aspect.

[0023] Specifically, the chip provided in the embodiments of the present application further comprises a memory configured to store the computer program or instructions. BRIEF DESCRIPTION OF DRAWINGS

[0024] Figure 1 a flowchart of the cell capacity expansion method provided in an embodiment of the present application;

[0025] Figure 2 a flowchart of another cell capacity expansion method provided in an embodiment of the present application;

[0026] Figure 3 a flowchart of still another cell capacity expansion method provided in an embodiment of the present application;

[0027] Figure 4 a flowchart of yet another cell capacity expansion method provided in an embodiment of the present application;

[0028] Figure 5 a structural schematic diagram of a cell capacity expansion device provided in an embodiment of the present application;

[0029] Figure 6 a structural schematic diagram of another cell capacity expansion device provided in an embodiment of the present application;

[0030] Figure 7 a structural schematic diagram of a chip provided in an embodiment of the present application. DETAILED DESCRIPTION

[0031] The cell capacity expansion method, device and computer readable storage medium provided in the embodiments of the present application are described in detail below with reference to the accompanying drawings.

[0032] The term “and / or” in the present document merely describes an association relationship of associated objects, and indicates that there can be three relationships, for example, A and / or B can represent three cases of existence of A alone, existence of A and B simultaneously, and existence of B alone.

[0033] The terms "first", "second", and the like in the description of the present application and in the claims of the present application are used for distinguishing between similar objects, or to distinguish between the same objects for different purposes, and are not necessarily used to describe a particular sequential order or sequence.

[0034] In addition, the terms "comprising" and "having" and any variations thereof in the description of the present application are intended to cover a non-exclusive inclusion. For example, a process, method, system, product or device that comprises a list of steps or units is not limited to the listed steps or units, but can optionally further include other steps or units not listed or can optionally further include other steps or units inherent to such a process, method, product or device.

[0035] It should be noted that in the embodiments of the present application, the words "exemplary" or "for example" are used to mean serving as an example, instance, or illustration. Any embodiment or design scheme described as "exemplary" or "for example" in the embodiments of the present application should not be construed as being more preferred or advantageous than other embodiments or design schemes. Rather, the use of the words "exemplary" or "for example" is intended to present concepts in a particular manner.

[0036] Generally, an operator can determine whether the capacity of a cell corresponding to the operator meets the demand of users according to user complaint conditions (or the results of on-site speed measurement), and expand the capacity of some cells whose capacity cannot meet the demand of users, so as to improve the network quality of the operator and improve the user experience. However, due to the complex and changeable environment of some cells corresponding to the operator, it may not be possible to accurately determine whether the capacity of the cells meets the demand of users according to the user complaint conditions (or the results of on-site speed measurement), so it may occur that the capacity of a cell whose capacity can meet the demand of users is expanded, which leads to waste of wireless resources.

[0037] In order to solve the problem of waste of wireless resources in the prior art, the application provides a cell expansion method, which can first acquire M first load parameters corresponding to N first cells, each first cell corresponding to at least one first load parameter, and each first load parameter being used to represent the load condition of the corresponding first cell in a time period, then determining L second cells corresponding to the second load parameters with parameter values greater than or equal to a first preset threshold from the N first cells, and determining a target cell from the L second cells according to the second load parameters corresponding to the L second cells, and performing an expansion process on the target cell. Since the M first load parameters representing the load conditions of the N first cells in multiple time periods can be acquired first, then the L second cells corresponding to the first load parameters greater than or equal to the first preset threshold are determined, and the target cell is determined according to the second load parameters corresponding to the L second cells, that is, the target cell can be determined multiple times, instead of being determined according to user complaints (or the result of on-site speed measurement), so that the cell (i.e. the target cell) whose capacity cannot meet the user's demand can be accurately determined, and the target cell is expanded, so that the utilization rate of wireless resources can be improved.

[0038] The cell expansion method of the application is applied in the process of cell expansion.

[0039] Figure 1 A flowchart of the cell expansion method provided by the embodiment of the application is shown. As shown in Figure 1 The cell expansion method provided by the embodiment of the application can include the following steps 101 to 103.

[0040] Step 101, acquiring M first load parameters corresponding to N first cells.

[0041] In the embodiment of the application, each first cell in the N first cells corresponds to at least one first load parameter, each first load parameter in the M first load parameters is used to represent the load condition of the corresponding first cell in a time period, N is a positive integer, and M is a positive integer greater than or equal to N.

[0042] Optionally, in the embodiment of the application, when the operator wants to expand the cell of the operator, the M first load parameters corresponding to the N first cells can be acquired; or when the operator receives user complaints (or the result of on-site speed measurement does not meet the predetermined condition), the M first load parameters corresponding to the N first cells can be acquired.

[0043] It can be understood that the N first cells are all or part of the cells of the operator.

[0044] Optionally, in embodiments of the present application, for each of the N first cells, the first cell can be any one of the following: a Long Term Evolution (LTE) cell, a 5G cell.

[0045] Optionally, in embodiments of the present application, for each of the M first load parameters, the first load parameter can include at least one of the following: a number of users connected to a cell, a traffic of a cell, a user complaint situation, and an on-site speed test situation.

[0046] Optionally, in embodiments of the present application, for each of the M first load parameters, the first load parameter can include at least one of the following: a number of users connected to a cell, a traffic of a cell, a user complaint situation, and an on-site speed test situation.

[0047] It should be noted that the "number of active users" can be understood as the number of users that have established an RRC connection with the cell and are in an active state. The "number of RRC connected users" can be understood as the number of users that have established an RRC connection with the cell.

[0048] Optionally, in embodiments of the present application, for each of the N first cells, the first load parameter corresponding to the first cell can be a load parameter collected in a measurement period; the number of first load parameters corresponding to the first cell can be the same as the number of first load parameters corresponding to other first cells, the other first cells being any one of the N first cells except the first cell. The measurement period can be any one of the following: one day, one week, one month, one quarter, etc.

[0049] Optionally, in embodiments of the present application, the time period can be any one of the following: at least one day, at least one hour, etc.

[0050] For example, assuming that the N first cells include cell 1 and cell 2, the first load parameters corresponding to the cell 1 include load parameters 1-7, the load parameters 1-7 being load parameters collected in a measurement period (e.g., one week), and the load parameters 1-7 being used to represent the load situation of the cell 1 in a time period (e.g., Monday to Sunday), the first load parameters corresponding to the cell 2 include load parameters 8-14, the load parameters 8-14 being load parameters collected in one week, and the load parameters 8-14 being used to represent the load situation of the cell 2 in Monday to Sunday. The number of load parameters corresponding to the cell 1 (i.e., 7) is the same as the number of load parameters corresponding to the cell 2 (i.e., 7).

[0051] Optionally, in the embodiments of the present application, the data acquisition module can be used to acquire periodic measurement data of cells in the whole network of the operator, so that M first load parameters can be obtained. It can be understood that the cells in the whole network include N first cells, and the periodic measurement data includes M first load parameters.

[0052] In step 102, according to the M first load parameters, L second cells in which the second load parameters exist in the corresponding first load parameters are determined from the N first cells.

[0053] In the embodiments of the present application, the parameter value of the second load parameter is greater than or equal to a first preset threshold, and L is a positive integer less than or equal to N.

[0054] Optionally, in the embodiments of the present application, any one of the M first load parameters includes at least one of the following: the number of active users, and cell downlink traffic; wherein, in the case that the any one of the first load parameters includes the number of active users, the first preset threshold includes a user number threshold; and in the case that the any one of the first load parameters includes the cell downlink traffic, the first preset threshold includes a downlink traffic threshold.

[0055] Optionally, in the embodiments of the present application, the user number threshold can be 60, and the downlink traffic threshold can be 60 gigabytes (GB).

[0056] Optionally, in the embodiments of the present application, for each of the N first cells, the target determination module can be used to compare each load parameter corresponding to one first cell with the first preset threshold, to determine whether the second load parameter exists in the first load parameter corresponding to the one first cell (i.e., the parameter value of the first load parameter corresponding to the one first cell is greater than or equal to the first preset threshold), and in the case that the parameter value of any one of the first load parameters corresponding to the one first cell is greater than or equal to the first preset threshold, it is determined that the second load parameter exists in the first load parameter corresponding to the one first cell, so that the one first cell can be determined as one second cell, and the same operation is performed on the other first cells, so that L second cells are determined.

[0057] It can be understood that if the first load parameter corresponding to one first cell includes the second load parameter, it can be considered that the one first cell is likely to be a high-load cell, so the one first cell can be determined as one second cell, and then determined again in the next step.

[0058] In step 103, according to the second load parameters corresponding to the L second cells, a target cell is determined from the L second cells, and an expansion process is performed on the target cell.

[0059] Optionally, in this embodiment of the application, the target cell can be determined from the L second cells based on the number of second load parameters corresponding to the L second cells; or, the target cell can be determined from the L second cells based on the number of specific load parameters among the second load parameters corresponding to the L second cells.

[0060] Among them, the aforementioned specific load parameter can be: a load parameter used to characterize the load status of the corresponding second cell within a predetermined time period.

[0061] The following will provide an example of how to determine the target community.

[0062] Furthermore, in combination Figure 1 ,like Figure 2 As shown, step 103 can be implemented through steps 103a and 103b as described below.

[0063] Step 103a: Determine the expansion priority of the L second cells based on the second load parameters corresponding to the L second cells.

[0064] In this embodiment of the application, the expansion priority of any one of the L second cells is related to at least one of the following: the number of second load parameters corresponding to the second cell, and the number of third load parameters among the second load parameters corresponding to the second cell, wherein the third load parameter is used to characterize the load status of the corresponding second cell within a predetermined time period.

[0065] For example, assuming that the L second cells include cell 1 and cell 2 in the above example, and the third load parameter is used to characterize the load status of the corresponding second cell during a predetermined time period (e.g., Saturday and Sunday), the expansion priority of cell 1 can be determined based on the number of load parameters whose parameter values ​​are greater than or equal to the first preset threshold among the load parameters 1 to 7 corresponding to cell 1, and / or, the expansion priority of cell 1 can be determined based on load parameter 6 (which characterizes the load status of cell 1 on Saturday) and load parameter 7 (which characterizes the load status of cell 1 on Sunday); and the expansion priority of cell 2 can be determined based on the number of load parameters whose parameter values ​​are greater than or equal to the first preset threshold among the load parameters 8 to 14 corresponding to cell 2, and / or, the expansion priority of cell 2 can be determined based on load parameter 13 (which characterizes the load status of cell 2 on Saturday) and load parameter 14 (which characterizes the load status of cell 2 on Sunday).

[0066] Specifically, for each of the L second cells, X third corresponding relationships can be adopted to determine an expansion priority corresponding to a number of second load parameters of a second cell (and / or a number of third load parameters in the second load parameters corresponding to the second cell); wherein each third corresponding relationship is a corresponding relationship between a number and an expansion priority.

[0067] Specifically, for each of the L second cells, the more the number of second load parameters corresponding to a second cell (and / or the number of third load parameters in the second load parameters corresponding to the second cell), the higher the expansion priority of the second cell.

[0068] Step 103b: determining a second cell with the highest expansion priority in the L second cells as the target cell.

[0069] In the embodiment of the present application, since some cells may be affected by the environment, at this time, the load of some cells in some time period may be high, and the capacity of the some cells can meet the user demand, therefore, the expansion priority of the L second cells can be determined first, and then the second cell with the highest expansion priority is determined as the target cell, so as to avoid the expansion of the above-mentioned some cells.

[0070] Therefore, since the expansion priority of the L second cells can be determined according to the number of second load parameters corresponding to the L second cells and / or the number of third load parameters in the second load parameters corresponding to the L second cells, and the second cell with the highest expansion priority is determined as the target cell (i.e. the cell to be expanded), the accuracy of determining the cell to be expanded (i.e. the cell whose capacity cannot meet the user demand) can be improved, and thus the wireless resources can be saved.

[0071] Optionally, in the embodiment of the present application, after the target cell is determined, the carrier expansion can be performed according to the current configuration of the target cell.

[0072] For example, assuming that the current configuration of the target cell is 3400-3500 megahertz (Mhz) frequency band, the frequency band of the target cell can be configured as 3300-3500 Mhz, so as to perform the expansion process on the target cell.

[0073] It should be noted that the process of performing the expansion process on the target cell can refer to the specific description in the related art, and the embodiment of the present application is exemplified by expanding the frequency band of the target cell.

[0074] In this embodiment of the application, M first load parameters corresponding to N first cells can be obtained firstly, and then L second cells can be determined from the N first cells based on the M first load parameters. The target cell (i.e. the cell to be expanded) can be determined from the L second cells based on the second load parameters corresponding to the L second cells. In other words, multiple determinations can be performed to determine the cell to be expanded.

[0075] Based on the above technical solution, the cell expansion method provided in this application embodiment can first obtain M first load parameters corresponding to N first cells, with each first cell corresponding to at least one first load parameter. Each first load parameter is used to characterize the load status of the corresponding first cell within a time period. Then, from the N first cells, L second cells are determined whose corresponding first load parameters have a second load parameter value greater than or equal to a first preset threshold. Based on the second load parameters corresponding to these L second cells, a target cell is determined from these L second cells, and an expansion process is performed on the target cell. Since M first load parameters characterizing the load status of N first cells within multiple time periods can be obtained first, and then L second cells with corresponding first load parameters greater than or equal to the first preset threshold can be determined, and the target cell can be determined based on the second load parameters corresponding to these L second cells, multiple determinations can be performed to determine the target cell, rather than determining it based on user complaints (or on-site speed test results). Therefore, cells whose capacity cannot meet user needs (i.e., target cells) can be accurately identified, and the target cells can be expanded, thereby improving the utilization rate of wireless resources.

[0076] Of course, in order to further improve the accuracy of identifying cells whose capacity cannot meet user needs, a first preset threshold can be determined based on the historical network data of N first cells. Specific examples will be given below.

[0077] Furthermore, any of the aforementioned first load parameters includes: the number of active users and the cell downlink traffic. Combined with... Figure 1 ,like Figure 3 As shown, prior to step 101 above, the cell expansion method provided in this application embodiment may further include steps 201 to 203 as described below.

[0078] Step 201: Obtain Q first correspondences and T second correspondences.

[0079] In this embodiment of the application, each of the above Q first correspondences is a correspondence between an experience rate satisfaction and an active user count, and each of the above T second correspondences is a correspondence between an active user count and a cell downlink traffic, where Q and T are both positive integers.

[0080] In the embodiments of the present application, the Q first corresponding relationships and the T second corresponding relationships are determined according to historical network data of the N first cells.

[0081] Specifically, the historical network data can include at least one of the following: a wireless index of a cell, a user perception index, an online user number, a cell traffic, and the like.

[0082] Here, the wireless index of the cell can include at least one of the following: a reference signal receiving power (RSRP), a reference signal receiving quality (RSRQ), a received signal strength indication (RSSI), and a signal to interference plus noise ratio (SINR).

[0083] It should be noted that the description of the user perception index can refer to the specific description in the related art, and the embodiments of the present application will not be repeated here.

[0084] Specifically, the historical network data of the N first cells can be obtained by a data collection module, and then the historical network data of the N first cells is processed for alarm investigation, fault investigation, and transmission investigation, and the processed historical network data of the N first cells is classified, summarized, and screened, and the Q first corresponding relationships and the T second corresponding relationships are determined through different time dimensions of the same cell and the same time dimensions of different cells.

[0085] Step 202, using the Q first corresponding relationships, determining a first active user number corresponding to a preset experience rate satisfaction degree, and determining the first active user number as a user number threshold.

[0086] For example, the mainstream in the current market is 1080P video, and the corresponding user experience rate requirement when meeting the characteristics of the video is at least 20 Mbps. When the experience rate satisfaction degree of 20 Mbps reaches 80%, the corresponding active user number can be determined according to the experience rate satisfaction degree by analyzing the Q first corresponding relationships, for example, the experience rate satisfaction degree of 80% corresponds to an active user number of 60, and the corresponding active user number is determined as the user number threshold.

[0087] Step 203, using the T second corresponding relationships, determining a first cell downlink traffic as a downlink traffic threshold.

[0088] In the embodiments of the present application, the first cell downlink traffic is: a T number of active users and a cell downlink traffic corresponding to an inflection point in a cross-correlation curve of the T number of active users and the corresponding cell downlink traffic.

[0089] Specifically, T cross-correlation curves of the T number of active users and the corresponding cell downlink traffic can be generated according to the T second corresponding relationships, and a cell downlink traffic corresponding to an inflection point in the cross-correlation curve is determined as the downlink traffic threshold.

[0090] For example, the number of active users can be taken as the abscissa, and the cell downlink traffic can be taken as the ordinate to obtain a first coordinate system, and then a point in the first coordinate system can be generated according to each number of active users and the corresponding cell downlink traffic, so as to generate T points, and the T points can be connected in turn to obtain the cross-correlation curve of the T number of active users and the corresponding cell downlink traffic. At this time, it can be obtained from the cross-correlation curve that when the number of active users reaches a certain value (for example, 60), the corresponding cell downlink traffic is a certain traffic (for example, 60 GB), and when the number of active users continues to increase, the growth of the cell downlink traffic is obviously slowed down because of being suppressed, that is, the point corresponding to the number of active users 60 and the cell downlink traffic 60 GB is an inflection point in the cross-correlation curve, so that the cell downlink traffic 60 GB can be determined as the downlink traffic threshold.

[0091] Therefore, the L second cells can be accurately determined according to the number of users threshold and / or the downlink traffic threshold, so as to accurately determine the target cell, and thus the utilization rate of wireless resources can be improved.

[0092] Of course, after the expansion process of the target cell is performed, the load balancing process can also be performed on the N first cells to balance the loads of the first cells, which will be illustrated below.

[0093] Optionally, in the embodiments of the present application, the method further comprises the following steps 301 and 302 after the step 103. Figure 1 As shown in the step 301, the method further comprises the following step 302. Figure 4 As shown in the step 301, the method further comprises the following step 302.

[0094] In the step 301, N fourth load parameters corresponding to the N first cells are obtained.

[0095] In the embodiments of the present application, each fourth load parameter in the N fourth load parameters is used to represent the load condition of the corresponding first cell.

[0096] Specifically, each of the N fourth load parameters is used to represent the current load situation of the corresponding first cell.

[0097] Specifically, for each of the N fourth load parameters, one fourth load parameter can include at least one of the following: RRC maximum number of connected users, radio resource utilization.

[0098] Specifically, the periodic measurement data of the cells of the entire network of the operator can be obtained by the data acquisition module, so that the N fourth load parameters can be obtained.

[0099] Step 302, in the case that any one of the N fourth load parameters meets the preset condition, performing a load balancing process on the N first cells.

[0100] Specifically, the above-mentioned preset condition can include at least one of the following: the parameter value of any one fourth load parameter is greater than a preset value, the ratio between the any one fourth load parameter and other fourth load parameters is outside a preset range, the difference between the any one fourth load parameter and other fourth load parameters is greater than a preset difference; the other fourth load parameters are load parameters in the N fourth load parameters except the any one fourth load parameter.

[0101] It can be understood that if any one of the N fourth load parameters meets the preset condition, it can be considered that the load between the first cell corresponding to the any one fourth load parameter and the first cells corresponding to other fourth load parameters is unbalanced, and therefore, the load balancing process can be performed on the N first cells.

[0102] Further, the above-mentioned any one fourth load parameter includes at least one of the following: first RRC maximum number of connected users, first radio resource utilization. The above-mentioned step 302 can be implemented by the following step 302a and / or step 302b.

[0103] Step 302a, in the case that the first RRC maximum number of connected users is greater than a preset number of users, and the ratio between the first RRC maximum number of connected users and the second RRC maximum number of connected users is outside a first preset range, performing a load balancing process on the N first cells.

[0104] Specifically, the above-mentioned preset number of users can be 50; and the above-mentioned first preset range can be [0.5, 2.0].

[0105] Step 302b, in the case that the first radio resource utilization is greater than a preset utilization, and the difference between the first radio resource utilization and the second radio resource utilization is greater than a preset difference, performing a load balancing process on the N first cells.

[0106] Specifically, the preset utilization rate can be 50%, and the preset difference can be 30%.

[0107] In the embodiments of the present application, the fifth load parameter includes the second RRC maximum number of connected users and the second radio resource utilization rate; and the fifth load parameter is any one of the N fourth load parameters except the any one fourth load parameter.

[0108] It can be understood that if the first RRC maximum number of connected users is greater than the preset number of users, and the ratio between the first RRC maximum number of connected users and the second RRC maximum number of connected users is outside the first preset range, it can be considered that the load between the first cell corresponding to the any one fourth load parameter and the first cell corresponding to the fifth load parameter is unbalanced, and / or if the first radio resource utilization rate is greater than the preset utilization rate, and the difference between the first radio resource utilization rate and the second radio resource utilization rate is greater than the preset difference, it can be considered that the load between the first cell corresponding to the any one fourth load parameter and the first cell corresponding to the fifth load parameter is unbalanced. Therefore, the N first cells can be directly load balanced.

[0109] Specifically, the transfer cell can be determined from the cells in the N first cells except the first cell corresponding to the any one fourth load parameter, and then a handover instruction is sent to the part of terminals camping on the first cell corresponding to the any one fourth load parameter, so that the part of terminals can be handed over to the transfer cell, that is, the N first cells perform the load balancing process.

[0110] The number of the transfer cell can be one or more.

[0111] It should be noted that the determination of the transfer cell and the part of terminals camping on the first cell corresponding to the any one fourth load parameter can refer to the specific description in the related art, and the embodiments of the present application will not be repeated here.

[0112] As can be seen, since the N fourth load parameters used to represent the load conditions of the N first cells can be obtained, and the load balancing process of the N first cells can be directly performed when any one fourth load parameter meets the preset condition, the load can be transferred from the relatively busy cell to the cell with more remaining resources, thereby maximizing the utilization of network resources, and thus improving the access success rate of the service.

[0113] It should be noted that the subject performing the steps of the embodiments of the present application can be an operator management device or other electronic devices, which are not limited in the embodiments of the present application.

[0114] The embodiments of the present application can divide the function modules or function units of the cell capacity expansion device according to the above method examples. For example, each function module or function unit can be divided corresponding to each function, or two or more functions can be integrated in one processing module. The integrated module can be realized in the form of hardware or in the form of software function module or function unit. The division of the modules or units in the embodiments of the present application is illustrative, and is only a logical function division. Another division mode can be used in actual implementation.

[0115] As shown in Figure 5 FIG. 1 is a structural schematic diagram of a cell capacity expansion device provided by an embodiment of the present application. The cell capacity expansion device includes an acquisition module 201 and a processing module 202. The acquisition module 201 is configured to acquire M first load parameters corresponding to N first cells. Each first cell corresponds to at least one first load parameter. Each first load parameter is used to represent the load condition of the corresponding first cell in a time period. N is a positive integer, and M is a positive integer greater than or equal to N. The processing module 202 is configured to determine, from the N first cells, L second cells in which a second load parameter exists in the corresponding first load parameters, according to the M first load parameters acquired by the acquisition module 201. The parameter value of the second load parameter is greater than or equal to a first preset threshold. L is a positive integer less than or equal to N. The processing module 202 is further configured to determine a target cell from the L second cells according to the second load parameters corresponding to the L second cells, and perform a capacity expansion process on the target cell.

[0116] Based on the above technical solution, the cell capacity expansion device provided by the embodiments of the present application can first acquire M first load parameters representing the load conditions of N first cells in multiple time periods, and then determine L second cells in which a second load parameter greater than or equal to a first preset threshold exists in the corresponding first load parameters, and determine a target cell according to the second load parameters corresponding to the L second cells. That is, the target cell can be determined multiple times, instead of being determined according to user complaints (or the results of on-site speed measurement). Therefore, the cell (i.e., the target cell) whose capacity cannot meet the user's demand can be accurately determined, and the target cell can be expanded. In this way, the utilization rate of wireless resources can be improved.

[0117] In a possible implementation, any one of the M first load parameters includes at least one of the following: the number of active users and the cell downlink traffic. When the any one of the first load parameters includes the number of active users, the first preset threshold includes a user number threshold. When the any one of the first load parameters includes the cell downlink traffic, the first preset threshold includes a downlink traffic threshold.

[0118] In a possible implementation, the first load parameter comprises: the number of active users, or cell downlink traffic. The acquisition module 201 is further configured to acquire Q first corresponding relationships and T second corresponding relationships, each of the first corresponding relationships being a corresponding relationship between an experience rate satisfaction degree and a number of active users, each of the second corresponding relationships being a corresponding relationship between a number of active users and a cell downlink traffic, Q and T being positive integers. The processing module 202 is further configured to determine, by using the Q first corresponding relationships, a first number of active users corresponding to a preset experience rate satisfaction degree, and determine the first number of active users as the user number threshold; and determine, by using the T second corresponding relationships, a first cell downlink traffic as the downlink traffic threshold, the first cell downlink traffic being a cell downlink traffic corresponding to an inflection point of a cross-correlation curve of the T numbers of active users and the corresponding cell downlink traffics. The Q first corresponding relationships and the T second corresponding relationships are determined according to historical network data of the N first cells.

[0119] In a possible implementation, the processing module 202 is specifically configured to determine, according to the second load parameters corresponding to the L second cells, expansion priorities of the L second cells, the expansion priority of any one of the L second cells being related to at least one of the following: a quantity of the second load parameters corresponding to the any one of the second cells, a quantity of third load parameters in the second load parameters corresponding to the any one of the second cells, the third load parameter being used to represent a load condition of the corresponding second cell in a predetermined time period; and determine, from the L second cells, a second cell with the highest expansion priority as the target cell.

[0120] In a possible implementation, the acquisition module 201 is further configured to acquire N fourth load parameters corresponding to the N first cells respectively, each of the fourth load parameters being used to represent a load condition of the corresponding first cell. The processing module 202 is further configured to perform, in a case where any one of the N fourth load parameters acquired by the acquisition module 201 satisfies a preset condition, a load balancing process on the N first cells.

[0121] In a possible implementation, the any one of the fourth load parameters comprises at least one of the following: the first RRC maximum number of connected users, and the first radio resource utilization. The processing module 202 is specifically configured to perform at least one of the following: performing the load balancing process on the N first cells in a case where the first RRC maximum number of connected users is greater than a preset number of users, and a ratio between the first RRC maximum number of connected users and a second RRC maximum number of connected users is located outside a first preset range; and performing the load balancing process on the N first cells in a case where the first radio resource utilization is greater than a preset utilization, and a difference between the first radio resource utilization and a second radio resource utilization is greater than a preset difference. The fifth load parameter comprises: the second RRC maximum number of connected users and the second radio resource utilization; and the fifth load parameter is any one of the N fourth load parameters except the any one of the fourth load parameters.

[0122] When implemented by hardware, the obtaining module 201 and the processing module 202 in the embodiments of the present application can be integrated on a processor. The specific implementation is as shown in Figure 6

[0123] Figure 6 Another possible structural schematic diagram of the cell capacity expansion apparatus involved in the above embodiments is shown. The cell capacity expansion apparatus comprises: a processor 302 and a communication interface 303. The processor 302 is configured to control and manage the actions of the cell capacity expansion apparatus, for example, to perform the steps performed by the obtaining module 201 and the processing module 202, and / or to perform other processes of the technologies described herein. The cell capacity expansion apparatus can also comprise a memory 301 and a bus 304, and the memory 301 is configured to store the program code and data of the cell capacity expansion apparatus.

[0124] The memory 301 can be a memory in the cell capacity expansion apparatus, and can include a volatile memory such as a random access memory, and can also include a non-volatile memory such as a read-only memory, a flash memory, a hard disk or a solid state disk, and can also include a combination of the above kinds of memories.

[0125] The processor 302 can be a central processing unit, a general purpose processor, a digital signal processor, an application specific integrated circuit, a field programmable gate array, or other programmable logic device, transistor logic device, hardware component, or any combination thereof, which implements or executes the various exemplary logical blocks, modules and circuits described in connection with the disclosure of the present application. The processor can be a combination of computing functions, such as one or more microprocessor combinations, combinations of DSP and microprocessor, etc.

[0126] ​The bus 304 can be an Extended Industry Standard Architecture (EISA) bus, etc. The bus 304 can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 6 Only one bus is represented in the figure with a thick line, but this does not imply that there is only one bus or only one type of bus.

[0127] Figure 7 FIG. 17 is a structural schematic diagram of a chip 170 provided by an embodiment of the present application. The chip 170 includes one or more (including two) processors 1710 and a communication interface 1730.

[0128] Optionally, the chip 170 further includes a memory 1740, which can include a read-only memory and a random access memory, and provides operation instructions and data for the processor 1710. A part of the memory 1740 can further include a non-volatile random access memory (NVRAM).

[0129] In some embodiments, the memory 1740 stores the following elements, execution modules or data structures, or a subset of them, or an extended set of them.

[0130] In an embodiment of the present application, corresponding operations are performed by invoking operation instructions stored in the memory 1740 (which can be stored in an operating system).

[0131] The processor 1710 can implement or execute the various exemplary logical blocks, units and circuits described in connection with the disclosure of the present application. The processor can be a central processing unit, a general purpose processor, a digital signal processor, an application specific integrated circuit, a field programmable gate array or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof. It can implement or execute the various exemplary logical blocks, units and circuits described in connection with the disclosure of the present application. The processor can also be a combination of components that implement computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0132] The memory 1740 can include a volatile memory, such as a random access memory; the memory can also include a non-volatile memory, such as a read-only memory, a flash memory, a hard disk or a solid state disk; the memory can also include a combination of the above kinds of memories.

[0133] The bus 1720 can be an Extended Industry Standard Architecture (EISA) bus, etc. The bus 1720 can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 7 only one line is used, but it does not mean that there is only one bus or only one type of bus.

[0134] Through the description of the above embodiments, those skilled in the art can clearly understand that, for the convenience and brevity of description, only the above division of functional modules is taken as an example, and in actual application, the above functions can be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the above-described system, device and unit can refer to the corresponding process in the foregoing method embodiments, which will not be described here.

[0135] The embodiment of the present application provides a computer program product containing instructions, when the computer program product runs on a computer, so that the computer executes the cell expansion method in the method embodiment.

[0136] The embodiment of the present application also provides a computer readable storage medium, and the computer readable storage medium stores instructions, when the instructions run on a computer, so that the computer executes the cell expansion method in the method flow shown in the method embodiment.

[0137] The computer readable storage medium, for example, can be, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium include an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), a register, a hard disk, an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing, or any other medium from which a processor can read and write information. An exemplary storage medium is coupled to the processor such that the processor can read information from, and write information to, the storage medium. Of course, the disclosure is not limited to a particular storage medium. The processor and the storage medium can be located in an ASIC. In some embodiments, the computer readable storage medium can be any tangible medium that can contain or store program code for use by or in connection with an instruction execution system, apparatus, or device.

[0138] The embodiment of the present application provides a computer program product containing instructions, which, when executed on a computer, cause the computer to perform the cell expansion method in the method flow shown in the above method embodiment.

[0139] Since the cell expansion device, the computer readable storage medium and the computer program product in the embodiment of the present application can be applied to the above method, the technical effects that can be obtained can be referred to the above method embodiment, which will not be described here again.

[0140] In several embodiments provided in the present application, it should be understood that the disclosed system, device and method can be implemented by other means. For example, the above-described device embodiments are merely illustrative, for example, the division of the units is only a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the displayed or discussed units can be indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0141] The units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may also be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment scheme.

[0142] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

[0143] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto, any change or replacement within the technical scope disclosed in the present application should be covered in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for expanding the capacity of a residential community, characterized in that, The method includes: Obtain historical network data for N first-level cells; Based on the historical network data of the N first cells, obtain Q first correspondences and T second correspondences. Each first correspondence is a correspondence between an experience rate satisfaction and the number of activated users, and each second correspondence is a correspondence between the number of activated users and the downlink traffic of a cell. Q and T are both positive integers. Using the Q first correspondences, determine the first number of activated users corresponding to the preset experience rate satisfaction, and determine the first number of activated users as the user number threshold; Using the T second correspondences, the downlink traffic of the first cell is determined as the downlink traffic threshold. The downlink traffic of the first cell is the downlink traffic of the cell corresponding to the inflection point in the cross-correlation curve of the T active users and the corresponding cell downlink traffic. Obtain M first load parameters corresponding to the N first cells. Each first cell corresponds to at least one first load parameter. Each first load parameter is used to characterize the load of the corresponding first cell within a time period. N is a positive integer, and M is a positive integer greater than or equal to N. Any one of the M first load parameters includes at least one of the following: number of active users and cell downlink traffic. Based on the M first load parameters, from the N first cells, determine L second cells whose corresponding first load parameters contain second load parameters, where the parameter value of the second load parameter is greater than or equal to a first preset threshold, and L is a positive integer less than or equal to N; If any of the first load parameters includes the number of active users, the first preset threshold includes the user number threshold. If any of the first load parameters includes the cell downlink traffic, the first preset threshold includes the downlink traffic threshold; Based on the second load parameters corresponding to the L second cells, the expansion priority of the L second cells is determined. The expansion priority of any one of the L second cells is related to at least one of the following: the number of the second load parameters corresponding to the any one second cell, and the number of the third load parameters among the second load parameters corresponding to the any one second cell. The third load parameters are used to characterize the load status of the corresponding second cell within a predetermined time period. Among the L second cells, the second cell with the highest expansion priority is determined as the target cell, and the expansion process is performed on the target cell.

2. The method according to claim 1, characterized in that, After performing the capacity expansion procedure on the target cell, the method further includes: Obtain N fourth load parameters corresponding to the N first cells, each fourth load parameter being used to characterize the load status of the corresponding first cell; If any one of the N fourth load parameters meets the preset conditions, a load balancing process is performed on the N first cells.

3. The method according to claim 2, characterized in that, The fourth load parameter includes at least one of the following: the maximum number of connected users in the first radio resource control (RRC) and the first radio resource utilization rate; When any one of the N fourth load parameters satisfies a preset condition, a load balancing process is performed on the N first cells, including at least one of the following: If the maximum number of connected users in the first RRC is greater than the preset number of users, and the ratio between the maximum number of connected users in the first RRC and the maximum number of connected users in the second RRC is outside the first preset range, then a load balancing process is performed on the N first cells. If the first wireless resource utilization rate is greater than the preset utilization rate, and the difference between the first wireless resource utilization rate and the second wireless resource utilization rate is greater than the preset difference, a load balancing process is performed on the N first cells. The fifth load parameter includes: the maximum number of connected users in the second RRC and the second radio resource utilization rate; The fifth load parameter is any one of the N fourth load parameters other than any of the aforementioned fourth load parameters.

4. A community expansion device, characterized in that, The cell expansion device includes: an acquisition module and a processing module; The acquisition module is used to acquire historical data of N first cells; based on the historical data of the N first cells, acquire Q first correspondences and T second correspondences, each first correspondence being a correspondence between an experience rate satisfaction and an active user count, and each second correspondence being a correspondence between an active user count and a cell downlink traffic, where Q and T are both positive integers; The processing module is used to determine the number of first activated users corresponding to the preset experience rate satisfaction using the Q first correspondences, and to determine the number of first activated users as the user number threshold; and to determine the downlink traffic of the first cell as the downlink traffic threshold using the T second correspondences, wherein the downlink traffic of the first cell is the downlink traffic of the cell corresponding to the inflection point in the cross-correlation curve of the T activated users and the corresponding cell downlink traffic; The acquisition module is further configured to acquire M first load parameters corresponding to the N first cells, each first cell corresponding to at least one first load parameter, each first load parameter being used to characterize the load status of the corresponding first cell within a time period, where N is a positive integer and M is a positive integer greater than or equal to N; any one of the M first load parameters includes at least one of the following: number of active users, cell downlink traffic; The processing module is configured to, based on the M first load parameters obtained by the acquisition module, determine, from the N first cells, L second cells whose corresponding first load parameters contain a second load parameter, wherein the parameter value of the second load parameter is greater than or equal to a first preset threshold, and L is a positive integer less than or equal to N; when any of the first load parameters includes the number of active users, the first preset threshold includes the number of users threshold; when any of the first load parameters includes the cell downlink traffic, the first preset threshold includes the downlink traffic threshold. The processing module is further configured to determine the expansion priority of the L second cells based on the second load parameters corresponding to the L second cells, wherein the expansion priority of any one of the L second cells is related to at least one of the following: the number of the second load parameters corresponding to the any one second cell, and the number of the third load parameters among the second load parameters corresponding to the any one second cell, wherein the third load parameters are used to characterize the load status of the corresponding second cell within a predetermined time period; and to determine the second cell with the highest expansion priority among the L second cells as the target cell, and to perform the expansion process on the target cell.

5. A community expansion device, characterized in that, include: A processor and a communication interface; the communication interface is coupled to the processor, the processor being used to run computer programs or instructions to implement the cell expansion method as described in any one of claims 1 to 3.

6. A computer-readable storage medium storing instructions, characterized in that, When the computer executes the instruction, the computer performs the cell expansion method as described in any one of claims 1 to 3.

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