Cell capacity expansion method, electronic device, storage medium, and program product

Abstract

Provided in the present disclosure are a cell capacity expansion method, an electronic device, a storage medium, and a program product. The method comprises: acquiring a physical resource block (PRB) utilization rate interval distribution index of a target cell within a statistical period, wherein the PRB utilization rate interval distribution index is used for indicating a distribution quantity and / or distribution ratio, across a plurality of predefined intervals, of a PRB resource utilization rate of each of a plurality of sampling periods of the target cell within the statistical period; and when it is determined, on the basis of the PRB utilization rate interval distribution index, that the target cell is in a high-load state, performing capacity expansion on the target cell.

Description

Community expansion methods, electronic devices, storage media and software products

[0001] This disclosure claims priority to Chinese patent application No. 202510364801.4, filed on March 26, 2025, the entire contents of which are incorporated herein by reference. Technical Field

[0002] This disclosure relates to the field of communication technology, and in particular to a cell expansion method, electronic device, storage medium, and program product. Background Technology

[0003] To meet the growing data transmission and service quality demands of users, operators will expand the network when the network resources provided by the community are insufficient to meet user needs, in order to ensure that the network can operate stably and efficiently. Summary of the Invention

[0004] In a first aspect, this disclosure provides a cell expansion method, comprising: obtaining a physical resource block (PRB) utilization rate interval distribution index of a target cell within a statistical period, wherein the PRB utilization rate interval distribution index is used to indicate the number and / or proportion of the PRB resource utilization rate of the target cell in multiple sampling periods within the statistical period, in multiple predefined intervals; and expanding the target cell when it is determined based on the PRB utilization rate interval distribution index that the target cell is in a high-load state.

[0005] One implementation method further includes: determining a first distribution ratio of PRB resource utilization rates that are greater than or equal to a first preset utilization rate threshold in each sampling period based on the PRB utilization rate interval distribution index; and determining that the target cell is in a high-load state during the statistical period if the first distribution ratio is greater than or equal to a second preset ratio threshold.

[0006] One implementation method involves determining that a target cell is in a high-load state during a statistical period when a first distribution ratio is greater than or equal to a second preset ratio threshold. This includes: determining that the target cell is in a high-load state during the statistical period when the cell load indicators meet a first preset condition and the first distribution ratio is greater than or equal to the second preset ratio threshold. The cell load indicators meeting the first preset condition include at least one of the following: the average number of connected users in radio resource control (RRC) is greater than a first threshold; the average maximum number of connected users in RRC is greater than a second threshold; the cell air interface service traffic is greater than a third threshold; and the average user throughput is less than a fourth threshold.

[0007] One implementation method further includes: determining an equivalent distribution index of PRB utilization for a target cell based on the distribution quantity and / or distribution ratio of PRB resource utilization in each predefined interval for each sampling period, and the service utilization quantity and / or service utilization ratio of the target cell within the statistical period, wherein the service utilization quantity represents the number of target cells in working status within the statistical period, and the service utilization ratio represents the proportion of target cells in working status within the statistical period; and determining whether the target cell is in a high-load state within the statistical period based on the equivalent distribution index of PRB utilization.

[0008] One implementation method is as follows: the service utilization ratio is the proportion of PRB resource utilization rate that is greater than or equal to the second preset utilization rate threshold in each sampling period of the target cell within the statistical period.

[0009] One implementation method is that the number of services utilized is: the number of PRB resource utilization rates of the target cell in each sampling period within the statistical period that are greater than or equal to the second preset utilization rate threshold.

[0010] One implementation method is to define the service utilization ratio as the ratio of the total scheduling time of the target cell within the statistical period to the duration of the statistical period.

[0011] One implementation method, based on the equivalent distribution index of PRB utilization rate interval, determines whether the target cell is in a high-load state within a statistical period, including: based on the equivalent distribution index of PRB utilization rate interval, determining the second distribution ratio corresponding to the PRB resource utilization rate that is greater than or equal to a third preset utilization rate threshold in each sampling period; if the second distribution ratio is greater than or equal to the third preset ratio threshold, it is determined that the target cell is in a high-load state within the statistical period.

[0012] One implementation method involves determining that a target cell is under high load during a statistical period when the second distribution ratio is greater than or equal to a third preset ratio threshold. This includes: determining that the target cell is under high load during the statistical period when the cell load indicators meet the second preset conditions and the second distribution ratio is greater than or equal to the third preset ratio threshold. The cell load indicators meeting the second preset conditions include at least one of the following: the average number of RRC connected users is greater than a fifth threshold; the average maximum number of RRC connected users is greater than a sixth threshold; the cell air interface service traffic is greater than a seventh threshold; and the average user throughput is less than an eighth threshold.

[0013] One implementation involves expanding the capacity of a target cell when it is determined to be under high load based on the PRB utilization interval distribution index. This includes: determining whether the target cell is under high load within a statistical period based on the PRB utilization interval distribution index; expanding the capacity of the target cell when the ratio of the high load statistical period to the expansion assessment period is greater than a first preset ratio threshold; the high load statistical period is the statistical period during which the target cell is under high load in the expansion assessment period.

[0014] Secondly, this disclosure provides a cell expansion device, comprising: an acquisition module and a processing module. The acquisition module is used to acquire a Physical Resource Block (PRB) utilization rate interval distribution index for a target cell within a statistical period; the PRB utilization rate interval distribution index indicates the number and / or proportion of PRB resource utilization rates in each sampling period within the statistical period, distributed across multiple predefined intervals. The processing module is used to expand the capacity of the target cell when it is determined, based on the PRB utilization rate interval distribution index, that the target cell is under high load.

[0015] In one implementation, the processing module is further configured to: determine a first distribution ratio corresponding to the PRB resource utilization rates that are greater than or equal to a first preset utilization rate threshold in each sampling period based on the PRB utilization rate interval distribution index; and determine that the target cell is in a high-load state during the statistical period if the first distribution ratio is greater than or equal to a second preset ratio threshold.

[0016] In one implementation, the processing module determines that a target cell is under high load during a statistical period when the cell load index meets a first preset condition and a first distribution ratio is greater than or equal to a second preset ratio threshold. The cell load index meeting the first preset condition includes at least one of the following: the average number of RRC connected users is greater than a first threshold; the average maximum number of RRC connected users is greater than a second threshold; the cell air interface service traffic is greater than a third threshold; and the average user throughput is less than a fourth threshold.

[0017] In one implementation, the processing module is further configured to determine the PRB utilization interval equivalent distribution index of the target cell based on the distribution quantity and / or distribution ratio of PRB resource utilization in each sampling period within each predefined interval, and the service utilization quantity and / or service utilization ratio of the target cell within the statistical period. The service utilization quantity represents the number of target cells in working status within the statistical period, and the service utilization ratio represents the proportion of target cells in working status within the statistical period. Based on the PRB utilization interval equivalent distribution index, the module further determines whether the target cell is in a high-load state within the statistical period.

[0018] One implementation method is as follows: the service utilization ratio is the proportion of PRB resource utilization rate that is greater than or equal to the second preset utilization rate threshold in each sampling period of the target cell within the statistical period.

[0019] One implementation method is that the number of services utilized is: the number of PRB resource utilization rates of the target cell in each sampling period within the statistical period that are greater than or equal to the second preset utilization rate threshold.

[0020] One implementation method is to define the service utilization ratio as the ratio of the total scheduling time of the target cell within the statistical period to the duration of the statistical period.

[0021] In one implementation, the processing module is used to: determine the second distribution ratio corresponding to the PRB resource utilization rate that is greater than or equal to a third preset utilization rate threshold in each sampling period based on the equivalent distribution index of PRB utilization rate interval; and determine that the target cell is in a high load state during the statistical period if the second distribution ratio is greater than or equal to the third preset ratio threshold.

[0022] In one implementation, the processing module determines that a target cell is under high load during a statistical period when the cell load index meets a second preset condition and the second distribution ratio is greater than or equal to a third preset ratio threshold. The cell load index meeting the second preset condition includes at least one of the following: the average number of RRC connected users is greater than a fifth threshold; the average maximum number of RRC connected users is greater than a sixth threshold; the cell air interface service traffic is greater than a seventh threshold; and the average user throughput is less than an eighth threshold.

[0023] In one implementation, the processing module is used to determine whether the target cell is in a high-load state within a statistical period based on the PRB utilization interval distribution index; if the ratio of the high-load statistical period of the target cell to the expansion assessment period is greater than a first preset ratio threshold, the target cell is expanded; the high-load statistical period is the statistical period in which the target cell is in a high-load state during the expansion assessment period.

[0024] Thirdly, this disclosure provides an electronic device comprising: a processor and a memory. The processor is coupled to the memory. The memory stores computer instructions. The processor is configured to invoke and execute the computer instructions, causing the electronic device to implement the method described in the first aspect.

[0025] Fourthly, this disclosure provides a computer-readable storage medium comprising: computer instructions; which, when executed in an electronic device, cause the electronic device to perform the method described in the first aspect.

[0026] Fifthly, this disclosure provides a computer program product comprising a computer program; when the computer program is run in an electronic device, it causes the electronic device to implement the method described in the first aspect. Attached Figure Description

[0027] The accompanying drawings are provided to further understand the technical solutions of this disclosure and constitute a part of the specification. They are used together with the embodiments of this disclosure to explain the technical solutions of this disclosure and do not constitute a limitation on the technical solutions of this disclosure.

[0028] Figure 1 is a schematic diagram of the number of cell users and PRB utilization rate at the instant of a vehicle passing through, provided by an embodiment of this disclosure.

[0029] Figure 2 is a schematic diagram of the application environment of a cell expansion method provided in an embodiment of this disclosure.

[0030] Figure 3 is a flowchart illustrating a cell expansion method provided in an embodiment of this disclosure.

[0031] Figure 4 is a flowchart illustrating another cell expansion method provided in this embodiment of the present disclosure.

[0032] Figure 5 is a schematic diagram of the composition of a community expansion device provided in an embodiment of this disclosure.

[0033] Figure 6 is a schematic diagram of the structure of an electronic device provided in an embodiment of this disclosure. Detailed Implementation

[0034] The method for expanding the capacity of a residential community provided in this disclosure will be described in detail below with reference to the accompanying drawings.

[0035] In the description of this disclosure, unless otherwise stated, " / " means "or", for example, A / B can mean A or B. The term "and / or" in this document is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can mean: only A, only B, and A and B.

[0036] The terms “first” and “second” in this disclosure and its accompanying drawings are used to distinguish different objects or to distinguish different treatments of the same object, rather than to describe a particular order of objects.

[0037] Furthermore, the terms “comprising” and “having”, and any variations thereof, used in the description of this disclosure are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the steps or units listed, but may include other steps or units not listed in the written embodiments, or other steps or units inherent to such processes, methods, products, or apparatus in some embodiments.

[0038] It should be noted that in the embodiments of this disclosure, the words "exemplarily" or "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "exemplarily" or "for example" in the embodiments of this disclosure should not be construed as being more preferred or advantageous than other embodiments or design solutions. Specifically, the use of the words "exemplarily" or "for example" is intended to present the relevant concepts by way of example.

[0039] To facilitate a clear description of the technical solutions of the embodiments of this disclosure, the terms "first" and "second" are used in the embodiments of this disclosure to distinguish the same or similar items with essentially the same function and effect. Those skilled in the art can understand that the terms "first" and "second" are not intended to limit the quantity or execution order.

[0040] In the description of this disclosure, unless otherwise stated, "multiple" means two or more.

[0041] To facilitate a clear description of the technical solutions of the embodiments of this disclosure, the technical terms involved in this disclosure will be briefly introduced below.

[0042] Downlink radio resource utilization reflects the proportion of PRBs allocated by the base station to user equipment (UE) in the downlink direction, and is used to help assess network load and performance. Downlink radio resource utilization satisfies the following formula:

[0043] Among them, the number of PRBs occupied by the physical downlink shared channel (PDSCH) is the actual number of PRBs used by the PDSCH during the statistical period; the number of PRBs available per split PDSCH refers to the number of PRBs available for data transmission in each time slot of the PDSCH during a statistical period; the average maximum scheduling layer in the downlink time domain of the cell is the average of the maximum scheduling layer in each time slot of the cell downlink during the statistical period, excluding values ​​of 0 in the maximum scheduling layer of each time slot.

[0044] Uplink radio resource utilization reflects the proportion of PRBs allocated by the base station to the UE in the uplink direction, and is used to help assess network load and performance. Uplink radio resource utilization satisfies the following formula:

[0045] Among them, the number of PRBs occupied by the physical uplink shared channel (PUSCH) is the number of PRBs actually used by the PUSCH during the statistical period; the number of PRBs available per split-through PUSCH refers to the number of PRBs available for data transmission in each time slot of the PUSCH during a statistical period; the average maximum scheduling layer in the cell uplink time domain is the average of the maximum scheduling layer in each time slot of the cell uplink during the statistical period, excluding values ​​of 0 in the maximum scheduling layer of each time slot.

[0046] Downlink PRB utilization is an important indicator for measuring the efficiency of downlink resource utilization in wireless communication networks. It can be expressed as the ratio of the number of downlink PRBs occupied in a cell to the number of downlink PRBs available in a cell during a statistical period.

[0047] Uplink PRB utilization is an important indicator for measuring the efficiency of uplink resource utilization in wireless communication networks. It can be expressed as the ratio of the number of uplink PRBs occupied in a cell to the number of uplink PRBs available in a cell during a statistical period.

[0048] The average number of connected users in RRC reflects the user connection load handled by the base station. The average number of connected users in RRC is the average number of users in the cell in the RRC-connected state during the statistical period.

[0049] Cell downlink air interface traffic refers to the amount of data transmitted between the base station and the UE via the radio interface in a wireless communication network. Cell downlink air interface traffic can be represented by the total number of Radio Link Control (RLC) layer user plane service data units (SDUs) bytes successfully transmitted within the cell during a statistical period.

[0050] Cell uplink air interface traffic refers to the amount of data transmitted between the UE and the base station via the radio interface in a wireless communication network. Cell uplink air interface traffic can be represented by the total number of RLC layer user plane SDU bytes successfully received within the cell during the statistical period.

[0051] The maximum number of users connected to an RRC is the maximum number of users in the cell who are in the RRC-CONNECTED state within the statistical period.

[0052] User downlink average throughput is a metric that measures the rate at which each user (UE) receives data from a base station in a wireless communication network. User downlink average throughput is the average downlink throughput of a single user in a 5G network.

[0053] User uplink average throughput is a metric that measures the data transmission rate from each UE to the base station in a wireless communication network. User uplink average throughput is the average uplink throughput of a single user in a 5G network.

[0054] The above is an introduction to the technical terms used in this disclosure, which will not be repeated below.

[0055] To meet the growing data transmission and service quality demands of users, operators will expand the network when the network resources provided by the community are insufficient to meet user needs, in order to ensure that the network can operate stably and efficiently.

[0056] Common network expansion methods typically make decisions based on average network-level metrics during busy hours. For example, a cell can be expanded if the downlink critical resource utilization rate is greater than 50% during busy hours, the average number of RRC connected users is greater than 200, and the downlink air interface traffic is greater than 80GB.

[0057] However, in high-speed rail and subway scenarios, the short time a train spends passing through a single cell and the concentrated user access can cause a sudden increase in cell load. Figure 1 illustrates the number of users and PRB utilization in a cell at the moment a train passes. As can be seen from Figure 1, the number of users and the instantaneous PRB utilization are high when the train passes, but lower at other times, resulting in a potentially low average number of users and PRB utilization per hour. In other words, commonly used network expansion assessment metrics cannot accurately capture the sudden high load in a cell, making it difficult to accurately determine whether the cell needs expansion. This can lead to situations where cell resources cannot meet user access demands, impacting the cell's network performance.

[0058] To address the aforementioned technical issues, this disclosure provides a cell expansion method. When a target cell is determined to be under high load based on the PRB utilization interval distribution index, the method expands the target cell's capacity. Since the PRB utilization interval distribution index reflects the distribution of the target cell's PRB utilization rate over a short period within a statistical period, using it as an evaluation indicator to assess whether the target cell is under high load can capture instantaneous high load situations, thereby improving the accuracy of determining whether the target cell needs expansion. Furthermore, timely cell expansion when the target cell is under high load ensures stable performance during peak network demand, thus improving user experience. It avoids problems such as decreased call quality and slower data transmission speeds caused by network congestion, thereby improving the cell's network performance.

[0059] The technical solutions provided in this disclosure can be applied to various mobile communication networks, such as 5G New Radio (NR) mobile communication networks, Time Division Duplex Long Term Evolution (TDD-LTE) mobile communication networks, Frequency Division Duplex Long Term Evolution (FDD-LTE) mobile communication networks, future mobile communication networks, or multiple communication convergence systems, etc. This disclosure does not limit the application of these technologies.

[0060] It should be noted that since a cell's links include uplinks and downlinks, which are used to carry different types of data transmission, it is necessary to assess both the uplink and downlink separately when determining whether a target cell is under high load. In other words, the PRB utilization interval distribution index can be either the uplink PRB utilization interval distribution index or the downlink PRB utilization interval distribution index.

[0061] For ease of description, this disclosure uses downlink as an example, meaning that the PRB utilization interval distribution index in the following embodiments of this disclosure is the downlink PRB utilization interval distribution index, and the PRB utilization rate is the downlink PRB utilization rate. It should be understood that in practical applications, the PRB utilization interval distribution index can also be the uplink PRB utilization interval distribution index, and this disclosure does not limit this.

[0062] The embodiments provided in this disclosure will now be described in detail with reference to the accompanying drawings.

[0063] The cell expansion method disclosed herein can be applied to the application environment shown in Figure 2. As shown in Figure 2, the application environment includes: base station 110 and expansion device 120.

[0064] Base station 110 provides a service coverage area, i.e., a target cell. UEs entering the target cell can communicate with base station 110 via wireless signals to receive wireless access services from base station 110. Expansion device 120 acquires the PRB utilization interval distribution index of the target cell within a statistical period. If the target cell is determined to be under high load based on the PRB utilization interval distribution index, it expands the capacity of the target cell.

[0065] In some embodiments, base station 110 may be a base station in Long Term Evolution (LTE), Long Term Evolution Advanced (LTEA), or an evolved Node B (eNB or eNodeB), a base station device in a 5G network, or a base station in a future communication system; the base station may include various network-side devices such as macro base stations, micro base stations, home base stations, wireless remote extensions, reconfigurable intelligent surfaces (RIS), routers, and wireless fidelity (WIFI) devices.

[0066] It should be noted that the cell expansion method provided in this disclosure can solve the problem that the instantaneous increase in cell load in high-speed rail / subway scenarios makes it impossible to accurately determine whether the cell needs to be expanded. Therefore, base station 110 can be a high-speed rail private network base station / subway private network base station used to provide wireless access services for high-speed rail / subway users.

[0067] In some embodiments, since the expansion device 120 needs to obtain the distribution index of PRB utilization rate of the target cell within the statistical period, the expansion device 120 needs to communicate with the base station 110 or the management system of the base station 110.

[0068] For example, the expansion device 120 can be a standalone device, or it can be integrated into the base station 110 or the core network equipment included in the core network, or it can be integrated into the management system of the base station 110.

[0069] It is understandable that, when the expansion device 120 is an independent device, it can communicate with the management system of the base station 110 to obtain the distribution index of PRB utilization rate of the target cell within the statistical period. The management system of the base station 110 can be an operations maintenance center (OMC), a network management system (NMS), an element management system (EMS), an operations support system (OSS), a network functions virtualization (NFV) platform, etc.

[0070] It should be noted that the system architecture described in the embodiments of this disclosure is for the purpose of more clearly illustrating the technical solutions of the embodiments of this disclosure, and does not constitute a limitation on the technical solutions provided in the embodiments of this disclosure. As those skilled in the art will know, with the evolution of system architecture, the technical solutions provided in the embodiments of this disclosure are also applicable to similar technical problems.

[0071] Referring to Figure 3, it is a schematic flowchart of a cell expansion method provided by an embodiment of this disclosure. As shown in Figure 3, the cell expansion method provided by this disclosure can be implemented by the above-mentioned expansion device and may include the following steps S201 to S202.

[0072] S201. Obtain the distribution index of PRB utilization rate of the target cell within the statistical period.

[0073] Among them, the PRB utilization interval distribution index is used to indicate the number and / or proportion of PRB resource utilization in each sampling period of the target cell within multiple predefined intervals in the statistical period.

[0074] This disclosure does not impose a specific limitation on the sampling period. The sampling period can be a predefined fixed value or a value that is dynamically adjusted according to system status, signal characteristics, or user needs. The specific value of the sampling period can be configured according to the actual application scenario. For example, the sampling period can be 1 millisecond, 10 milliseconds, 1 second, 2 seconds, or 1 minute, etc.

[0075] The PRB resource utilization rate of the target cell in each sampling period is the quotient of the sum of the number of PRBs used in each time slot within the sampling period and the sum of the number of PRBs available in each time slot.

[0076] This disclosure does not restrict the multiple predefined intervals of PRB utilization rate in the PRB utilization rate interval distribution index. In actual application, it can be configured according to needs. For example, the multiple predefined intervals of PRB utilization rate can be represented as Index0-Index9, and the definitions of Index0-Index9 are as follows: Index0: [0, 10%), Index1: [10%, 20%), Index2: [20%, 30%), Index3: [30%, 40%), Index4: [40%, 50%), Index5: [50%, 60%), Index6: [60%, 70%), Index7: [70%, 80%), Index8: [80%, 90%), Index9: [90%, 100%).

[0077] In one implementation, the capacity expansion device can obtain the PRB utilization interval distribution index from the base station of the target cell or the management system of the base station of the target cell. For example, the base station of the target cell or the management system of the base station of the target cell can collect the PRB resource utilization rate of the target cell in each sampling period within the statistical period, determine the PRB utilization interval distribution index based on the PRB resource utilization rate of the target cell in each sampling period within the statistical period, and send the PRB utilization interval distribution index to the capacity expansion device.

[0078] It is understandable that since a cell's links include uplink and downlink, and uplink and downlink are used to carry different types of data transmission respectively, the PRB utilization interval distribution index includes at least one of the uplink PRB utilization interval distribution index and the downlink PRB utilization interval distribution index. The uplink PRB utilization interval distribution index is used to indicate the number and / or proportion of the uplink PRB resource utilization rate of the target cell in each sampling period within a statistical period, within multiple predefined intervals. The downlink PRB utilization interval distribution index is used to indicate the number and / or proportion of the downlink PRB resource utilization rate of the target cell in each sampling period within a statistical period, within multiple predefined intervals.

[0079] S202. If the target cell is determined to be under high load based on the PRB utilization rate interval distribution index, the target cell shall be expanded.

[0080] It should be noted that the PRB utilization interval distribution index reflects the network load of the target cell within the statistical period. When the target cell is a dedicated high-speed rail / metro network cell, the PRB utilization interval distribution index can accurately detect instantaneous high loads, thus determining whether the target cell is under high load within the statistical period. If the target cell is under high load in multiple statistical periods within a certain timeframe, it indicates that the network performance of the target cell cannot meet user needs, requiring capacity expansion to ensure the quality of service.

[0081] As one implementation method, expanding the target cell may include at least one of the following: upgrading the hardware of the target cell; optimizing the software of the target cell; expanding the spectrum resources of the target cell; or adjusting the network architecture of the target cell.

[0082] The cell expansion method disclosed herein can expand a target cell when it is determined to be under high load based on the PRB utilization interval distribution index. Since the PRB utilization interval distribution index reflects the distribution of the target cell's PRB utilization rate over a short period within a statistical period, using it as an evaluation indicator to assess whether the target cell is under high load can capture instantaneous high load situations, thereby improving the accuracy of determining whether the target cell needs expansion. Furthermore, timely cell expansion when the target cell is under high load can ensure stable performance during peak network demand, thus improving user experience. It avoids problems such as decreased call quality and slower data transmission speeds caused by network congestion, thereby improving the cell's network performance.

[0083] In some embodiments, it can be determined whether a target cell is under high load based on the number and / or proportion of PRB resource utilization in the PRB utilization interval distribution index.

[0084] As one implementation method, determining the situation where the target cell is in a high-load state based on the PRB utilization interval distribution index can be achieved through steps A1-A2.

[0085] A1. Based on the PRB utilization rate interval distribution index, determine the first distribution ratio of PRB resource utilization rates that are greater than or equal to the first preset utilization rate threshold in each sampling period.

[0086] It should be noted that since the PRB utilization interval distribution index indicates the number and / or proportion of PRB resource utilization in each sampling period within multiple predefined intervals, the value of the first preset utilization threshold needs to coincide with the edge of the predefined interval so that the expansion device can determine the first distribution proportion. For example, when the PRB utilization rate has multiple predefined intervals of Index0-Index9, and the Index0-Index9 are defined as Index0:[0,10%), Index1:[10%,20%), Index2:[20%,30%), Index3:[30%,40%), Index4:[40%,50%), Index5:[50%,60%), Index6:[60%,70%), Index7:[70%,80%), Index8:[80%,90%), Index9:[90%,100%), the first preset utilization rate threshold can be 60%, 70%, etc.

[0087] A2. If the first distribution ratio is greater than or equal to the second preset ratio threshold, it is determined that the target cell is in a high-load state during the statistical period.

[0088] It can be seen that if the first distribution ratio is greater than or equal to the second preset ratio threshold, it indicates that the target cell has a high resource utilization rate in multiple sampling periods within the statistical period, meaning that the target cell experienced multiple instances of instantaneous high load within the statistical period. Therefore, it can be determined that the target cell was in a high-load state within the statistical period.

[0089] As one approach, to more comprehensively evaluate the performance and load of the target cell, it is also possible to determine whether the target cell is under high load during the statistical period based on the first distribution ratio and the cell load index of the target cell.

[0090] For example, step A2 above can also be implemented as follows: when the cell load index meets the first preset condition and the first distribution ratio is greater than or equal to the second preset ratio threshold, determine that the target cell is in a high load state during the statistical period.

[0091] Among them, the cell load indicators include at least one of the following: average number of RRC connected users, average maximum number of RRC connected users, cell air interface service traffic, and average user throughput.

[0092] It should be understood that the average number of connected users in RRC refers to the average number of users who maintain an RRC connection with the target cell simultaneously within a statistical period. The higher the average number of connected users in RRC, the higher the cell load.

[0093] The maximum number of concurrent users connected to the target cell via RRC average refers to the maximum number of concurrent users connected to the target cell via RRC within a statistical period. It reflects the cell's load status during peak periods. The higher the maximum number of concurrent users connected to the target cell via RRC average, the higher the cell's load.

[0094] Cell air interface traffic refers to the total amount of data transmitted from the base station to the user equipment. An increase in cell air interface traffic directly reflects an increase in the load of the target cell.

[0095] Average user throughput refers to the average amount of data that a user accessing the target cell can receive from the target cell per unit of time. Under high load, due to increased resource competition, the available bandwidth of a single user decreases, resulting in a decrease in throughput. Therefore, the lower the average user throughput, the higher the load on the target cell.

[0096] Based on this, the cell load index meets the first preset condition, which includes at least one of the following: the average number of RRC connected users is greater than the first threshold; the average maximum number of RRC connected users is greater than the second threshold; the cell air interface service traffic is greater than the third threshold; and the average user throughput is less than the fourth threshold.

[0097] It should be understood that the embodiments disclosed herein do not impose specific limitations on the first threshold, the second threshold, etc., and the specific values ​​of the first threshold and the second threshold can be configured according to the actual application scenario. For example, the first threshold can be a predefined fixed value, or it can be a value dynamically adjusted according to the target cell status.

[0098] Understandably, when the target cell is a high-speed rail / metro dedicated network cell, the higher the frequency of traffic to the target cell within the statistical period, the more sampling periods will be for instantaneous high load situations. Therefore, based on the above steps A1-A2 to determine whether the target cell is in a high load state within the statistical period, it is also necessary to adjust the second preset proportion threshold based on the traffic frequency of the target cell.

[0099] In some embodiments, the frequency of traffic access to the target cell may vary and is not fixed. To more accurately determine the load status of the target cell, the PRB utilization interval distribution index when the target cell is in operation can be collected, that is, the PRB utilization interval distribution index of the target cell at the time of traffic access. By using the PRB utilization interval distribution index when the target cell is in operation, it can be determined whether the target cell is in a high-load state, thereby reducing the impact of differences in different traffic access frequencies.

[0100] As one implementation method, determining the situation where the target cell is in a high-load state based on the PRB utilization interval distribution index can be achieved through the following steps B1-B2.

[0101] B1. Based on the PRB utilization rate interval distribution index, the number and / or proportion of PRB resource utilization rate in each sampling period within each predefined interval, and the number and / or proportion of service utilization in the target cell within the statistical period, determine the PRB utilization rate interval equivalent distribution index of the target cell.

[0102] The service utilization ratio represents the proportion of the target cell that is in an operational state during the statistical period. The service utilization quantity represents the number of the target cell that is in an operational state during the statistical period.

[0103] As one implementation method, since the target cell is in a low-load state when not in operation, the sampling periods corresponding to the PRB resource utilization rates of the target cell in each sampling period within the statistical period that are higher than a certain utilization threshold can be regarded as the sampling periods in which the target cell is in an operational state within the statistical period. Therefore, the service utilization ratio in step B1 above is: the proportion of the PRB resource utilization rates of the target cell in each sampling period within the statistical period that are greater than or equal to the second preset utilization threshold in each sampling period. The service utilization quantity is: the number of PRB resource utilization rates of the target cell in each sampling period within the statistical period that are greater than or equal to the second preset utilization threshold.

[0104] It should be noted that since the PRB utilization interval distribution index indicates the number and / or proportion of PRB resource utilization in each sampling period within multiple predefined intervals, the value of the second preset utilization threshold needs to coincide with the edge of the predefined interval so that the expansion device can determine the equivalent distribution index of the PRB utilization interval of the target cell.

[0105] As another implementation, since service scheduling occurs when the target cell is in an operational state, the sampling period during which the target cell has service scheduling within the statistical period can be regarded as the sampling period during which the target cell is in an operational state within the statistical period. Therefore, the service utilization ratio in step B1 above is the ratio of the total scheduling time of the target cell within the statistical period to the period duration of the statistical period.

[0106] For example, the total scheduling time of the target cell within the statistical period can be the total scheduling time of media access control (MAC) layer services of the target cell within the statistical period, and the service utilization ratio can be the ratio of the total scheduling time of MAC layer services to the statistical period. The total scheduling time of MAC layer services includes the total scheduling time of uplink / downlink MAC layer services.

[0107] In other words, if the PRB resource utilization rate of the target cell is greater than or equal to the second preset utilization rate threshold, or if there is service scheduling in the target cell, the target cell can be considered to be in a working state.

[0108] B2. Based on the equivalent distribution index of PRB utilization interval, determine whether the target cell is in a high-load state during the statistical period.

[0109] Understandably, the PRB utilization interval equivalent distribution index can indicate the equivalent distribution ratio of the PRB resource utilization rate of a target cell in multiple predefined intervals for each sampling period within a statistical period. Therefore, the load status of the target cell in multiple sampling periods within a statistical period can be determined based on the PRB utilization interval equivalent distribution index, thereby determining whether the target cell is in a high-load state within the statistical period.

[0110] As one implementation method, step B2 above can be implemented as steps C1-C2 below.

[0111] C1. Based on the equivalent distribution index of PRB utilization rate interval, determine the second distribution ratio of PRB resource utilization rate that is greater than or equal to the third preset utilization rate threshold in each sampling period.

[0112] It should be noted that since the PRB utilization rate interval equivalent distribution index indicates the equivalent distribution ratio of PRB resource utilization rate in multiple predefined intervals for each sampling period, the value of the third preset utilization rate threshold needs to coincide with the edge of the predefined interval so that the expansion device can determine the second distribution ratio.

[0113] C2. If the second distribution ratio is greater than or equal to the third preset ratio threshold, determine that the target cell is in a high-load state during the statistical period.

[0114] It can be seen that the second distribution ratio is greater than or equal to the third preset ratio threshold, indicating that the target cell frequently experiences instantaneous high loads while in operation. Therefore, it can be determined that the target cell is in a high-load state during the statistical period.

[0115] As one approach, to more comprehensively evaluate the performance and load of the target cell, it is also possible to determine whether the target cell is under high load during the statistical period based on the second distribution ratio and the cell load index of the target cell.

[0116] For example, step C2 above can also be implemented as follows: when the cell load index meets the second preset condition and the second distribution ratio is greater than or equal to the third preset ratio threshold, determine that the target cell is in a high load state during the statistical period.

[0117] Among them, the cell load index meets the second preset condition including at least one of the following: the average number of RRC connected users is greater than the fifth threshold; the average number of RRC connected maximum users is greater than the sixth threshold; the cell air interface service traffic is greater than the seventh threshold; and the average user throughput is less than the eighth threshold.

[0118] It should be understood that the embodiments disclosed herein do not impose specific limitations on the fifth threshold, the sixth threshold, etc., and the specific values ​​of the fifth threshold and the sixth threshold can be configured according to the actual application scenario. For example, the fifth threshold can be a predefined fixed value, or it can be a value dynamically adjusted according to the target cell status.

[0119] As one implementation method, as shown in Figure 4, the above step S202 can be implemented as the following steps S2021-S2022.

[0120] S2021. Based on the PRB utilization rate interval distribution index, determine whether the target cell is in a high-load state within the statistical period.

[0121] It is understandable that the PRB utilization interval distribution index can indicate the number and / or proportion of PRB resource utilization of a target cell in multiple predefined intervals in each sampling period of the statistical period. Therefore, the load status of the target cell in multiple sampling periods of the statistical period can be determined based on the PRB utilization interval distribution index, thereby determining whether the target cell is in a high load state during the statistical period.

[0122] S2022. If the ratio of the high-load statistical period of the target cell to the expansion assessment period is greater than the first preset ratio threshold, the target cell shall be expanded.

[0123] Among them, the high-load statistical period is the statistical period during which the target cell is in a high-load state during the capacity expansion assessment period.

[0124] It is understandable that if the ratio of the high load statistical period to the expansion assessment period of the target cell is greater than the first preset ratio threshold, it indicates that the target cell has a continuous problem of insufficient physical resources during the expansion assessment period. In other words, the existing base station and spectrum resources of the target cell cannot meet the current high load demand, so the target cell needs to be expanded.

[0125] The following describes one implementation of the cell expansion method of this disclosure. In this implementation, there are three target cells, namely cell A, cell B, and cell C.

[0126] Capacity expansion of the target cell is only permitted when the ratio of the high-load statistical period to the expansion assessment period exceeds a first preset threshold. The first preset threshold is 10%, the statistical period is one hour, and the expansion assessment period includes the same time period each day of the week. For example, the expansion assessment period could be from 9:00 AM to 10:00 AM each day of the week. Table 1 shows the distribution of PRB utilization rate and cell load indicators for the target cell within the statistical period.

[0127] Table 1

[0128] For example, in the process of determining whether the target cell is in a high-load state during the statistical period based on steps A1-A2, it is assumed that the first preset utilization threshold is 70%, the second preset ratio threshold is 50%, and the first preset condition is that the average number of connected users in RRC is greater than or equal to 100.

[0129] Based on Table 1, it can be seen that in Community A, 45% of the multiple PRB utilization rates within the statistical period had a PRB utilization rate greater than or equal to 70%; in Community B, 35% had a PRB utilization rate greater than or equal to 70%; and in Community C, 60% had a PRB utilization rate greater than or equal to 70%. Therefore, Community C was under high load during the statistical period. In other words, Community C had one high-load statistical period per week. Since the ratio of the high-load statistical period to the expansion assessment period for Community C is greater than 10%, expansion of Community C is necessary.

[0130] In the process of determining whether the target cell is in a high-load state during the statistical period based on steps B1-B2, it is assumed that the third preset utilization threshold is 70%, the third preset proportion threshold is 50%, and the second preset condition is that the average number of connected users in RRC is greater than or equal to 100.

[0131] If the service utilization ratio is defined as the proportion of PRB resource utilization rates greater than or equal to a second preset utilization threshold in each sampling period of the target cell within the statistical period, and the second preset utilization threshold is 20%, then based on Table 1, it can be seen that in cell A, the equivalent proportion of PRB utilization rates greater than or equal to 70% is 56.25%; in cell B, the equivalent proportion is 43.75%; and in cell C, the equivalent proportion is 75%. Therefore, cells A and C are under high load during the statistical period. That is, cells A and C have one high-load statistical period per week. Since the ratio of the high-load statistical period of cells A and C to the expansion assessment period is greater than 10%, expansion of cells A and C is necessary.

[0132] If the service utilization ratio is defined as the ratio of the total scheduling time of the target cell within the statistical period to the duration of the statistical period, then based on Table 1, we can see that the service utilization ratio of cell A is 50%, and among the multiple PRB utilization rates of cell A within the statistical period, the equivalent percentage of PRB utilization rates greater than or equal to 70% is 90%; the service utilization ratio of cell B is 60%, and among the multiple PRB utilization rates of cell B within the statistical period, the equivalent percentage of PRB utilization rates greater than or equal to 70% is 58.33%; and the service utilization ratio of cell C is 83.33%, and among the multiple PRB utilization rates of cell C within the statistical period, the equivalent percentage of PRB utilization rates greater than or equal to 70% is 72%. Therefore, cells A, B, and C are all under high load during the statistical period. That is, cells A, B, and C have one high-load statistical period per week. Since the ratio of the high-load statistical period of cells A, B, and C to the expansion assessment period is greater than 10%, expansion of cells A, B, and C is necessary.

[0133] As can be seen, the above mainly describes the solutions provided by the embodiments of this disclosure from a methodological perspective. To achieve the above functions, the embodiments of this disclosure provide corresponding hardware structures and / or software modules for executing each function. Those skilled in the art should readily recognize that, in conjunction with the modules and algorithm steps of the various examples described in the embodiments disclosed herein, the embodiments of this disclosure can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed in hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this disclosure.

[0134] This disclosure embodiment can divide the cell expansion device into functional modules according to the above method examples. For example, each function can be divided into its own functional modules, or two or more functions can be integrated into one processing module. The integrated modules can be implemented in hardware or as software functional modules. In some examples, the module division in this disclosure embodiment is illustrative and only represents one logical functional division; in actual implementation, there may be other division methods.

[0135] In some embodiments, this disclosure also provides a cell expansion device. The cell expansion device may include one or more functional modules for implementing the cell expansion method described in the above embodiments.

[0136] For example, Figure 5 is a schematic diagram of the composition of a cell expansion device provided in an embodiment of this disclosure. As shown in Figure 5, the cell expansion device 300 includes an acquisition module 301 and a processing module 302.

[0137] The acquisition module 301 is used to acquire the PRB utilization rate interval distribution index of the target cell within the statistical period. The PRB utilization rate interval distribution index is used to indicate the number and / or proportion of the PRB resource utilization rate of the target cell in multiple sampling periods within the statistical period, within multiple predefined intervals.

[0138] The processing module 302 is used to expand the capacity of the target cell when the target cell is determined to be in a high-load state based on the PRB utilization interval distribution index.

[0139] In one implementation, the processing module 302 is further configured to: determine, based on the PRB utilization rate interval distribution index, a first distribution ratio corresponding to the PRB resource utilization rate that is greater than or equal to a first preset utilization rate threshold in each sampling period; and determine that the target cell is in a high load state within the statistical period if the first distribution ratio is greater than or equal to a second preset ratio threshold.

[0140] In one implementation, the processing module 302 is used to determine that a target cell is in a high-load state during a statistical period when the cell load index meets a first preset condition and a first distribution ratio is greater than or equal to a second preset ratio threshold. The cell load index meeting the first preset condition includes at least one of the following: the average number of RRC connected users is greater than a first threshold; the average maximum number of RRC connected users is greater than a second threshold; the cell air interface service traffic is greater than a third threshold; and the average user throughput is less than a fourth threshold.

[0141] In one implementation, the processing module 302 is further configured to: determine the PRB utilization interval equivalent distribution index for the target cell based on the distribution quantity and / or distribution ratio of PRB resource utilization in each sampling period within each predefined interval, and the service utilization quantity and / or service utilization ratio of the target cell within the statistical period, wherein the service utilization ratio represents the proportion of the target cell that is in working state within the statistical period, and the service utilization quantity represents the quantity of the target cell that is in working state within the statistical period; and determine whether the target cell is in a high-load state within the statistical period based on the PRB utilization interval equivalent distribution index.

[0142] One implementation method is as follows: the service utilization ratio is the proportion of PRB resource utilization rate that is greater than or equal to the second preset utilization rate threshold in each sampling period of the target cell within the statistical period.

[0143] One implementation method is that the number of services utilized is: the number of PRB resource utilization rates of the target cell in each sampling period within the statistical period that are greater than or equal to the second preset utilization rate threshold.

[0144] One implementation method is to define the service utilization ratio as the ratio of the total scheduling time of the target cell within the statistical period to the duration of the statistical period.

[0145] In one implementation, the processing module 302 is used to: determine the second distribution ratio of PRB resource utilization rates that are greater than or equal to a third preset utilization rate threshold in each sampling period based on the equivalent distribution index of PRB utilization rate interval; and determine that the target cell is in a high load state during the statistical period if the second distribution ratio is greater than or equal to the third preset ratio threshold.

[0146] In one implementation, the processing module 302 is used to determine that a target cell is in a high-load state during a statistical period when the cell load index meets a second preset condition and the second distribution ratio is greater than or equal to a third preset ratio threshold. The cell load index includes at least one of the following: the cell load index meets the second preset condition, which includes at least one of the following: the average number of RRC connected users is greater than a fifth threshold; the average maximum number of RRC connected users is greater than a sixth threshold; the cell air interface service traffic is greater than a seventh threshold; and the average user throughput is less than an eighth threshold.

[0147] In one implementation, the processing module 302 is used to: determine whether the target cell is in a high-load state within a statistical period based on the PRB utilization rate interval distribution index; and to expand the capacity of the target cell if the ratio of the high-load statistical period to the expansion assessment period of the target cell is greater than a first preset ratio threshold. The high-load statistical period is the statistical period during which the target cell is in a high-load state within the expansion assessment period.

[0148] In the case where the functions of the integrated modules described above are implemented in hardware, this disclosure provides a schematic diagram of the electronic device involved in the above embodiments. As shown in FIG6, the electronic device 400 includes: a processor 402, a communication interface 403, and a bus 404. In some examples, the electronic device 400 may further include a memory 401. The memory 401 is coupled to the processor 402.

[0149] Processor 402 may implement or execute the various exemplary logic blocks, modules, and circuits described in connection with this disclosure. Processor 402 may be a central processing unit, a general-purpose processor, a digital signal processor, an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. Processor 402 may implement or execute the various exemplary logic blocks, modules, and circuits described in connection with this disclosure. Processor 402 may also be a combination that implements computing functions, such as including one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.

[0150] Communication interface 403 is used to connect with other devices via a communication network. This communication network can be Ethernet, wireless access network, wireless local area network (WLAN), etc.

[0151] The memory 401 may be a read-only memory (ROM) or other type of static storage device capable of storing static information and instructions, random access memory (RAM) or other type of dynamic storage device capable of storing information and instructions, or electrically erasable programmable read-only memory (EEPROM), disk storage medium or other magnetic storage device, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but is not limited thereto.

[0152] In one implementation, the memory 401 can exist independently of the processor 402. The memory 401 can be connected to the processor 402 via a bus 404 and is used to store instructions or program code. When the processor 402 calls and executes the computer instructions or program code stored in the memory 401, it enables the electronic device to implement the cell expansion method provided in this embodiment of the present disclosure.

[0153] In another implementation, the memory 401 can also be integrated with the processor 402.

[0154] Bus 404 can be an extended industry standard architecture (EISA) bus, etc. Bus 404 can be divided into address bus, data bus, control bus, etc. For ease of representation, the bus in Figure 6 is represented by only one thick line, but this does not mean that there is only one bus or one type of bus.

[0155] Through the above description of the implementation methods, those skilled in the art can clearly understand that, for the sake of convenience and brevity, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the service calling device can be divided into different functional modules to complete all or part of the functions described above.

[0156] This disclosure also provides a computer-readable storage medium. All or part of the processes in the above method embodiments can be executed by computer instructions instructing related hardware. These computer instructions can be stored in the aforementioned computer-readable storage medium. When executed, the computer instructions can include the processes described in the above method embodiments. The computer-readable storage medium includes computer instructions that, when executed on an electronic device, cause the electronic device to perform the cell expansion method provided in any of the above embodiments. The computer-readable storage medium can be the memory of any of the foregoing embodiments. The aforementioned computer-readable storage medium can also be an external storage device of the aforementioned service invocation device, such as a pluggable hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the aforementioned service invocation device. Further, the aforementioned computer-readable storage medium can include both internal storage units of the aforementioned service invocation device and external storage devices. The aforementioned computer-readable storage medium is used to store the aforementioned computer program and other programs and data required by the aforementioned service invocation device. The aforementioned computer-readable storage medium can include a non-transitory computer-readable storage medium. The aforementioned computer-readable storage medium can also be used to temporarily store data that has been output or will be output.

[0157] This disclosure also provides a computer program product comprising a computer program that, when run on a computer, causes the computer to execute the cell expansion method provided in any of the above embodiments.

[0158] The above are merely specific embodiments of this disclosure, but the scope of protection of this disclosure is not limited thereto. Any changes or substitutions within the technical scope disclosed in this disclosure should be included within the scope of protection of this disclosure. Therefore, the scope of protection of this disclosure should be determined by the scope of the claims.

Claims

1. A method for expanding the capacity of a residential community, comprising: Obtain the physical resource block (PRB) utilization rate interval distribution index of the target cell within a statistical period; wherein, the PRB utilization rate interval distribution index is used to indicate the number and / or proportion of the PRB resource utilization rate of the target cell in multiple sampling periods within the statistical period, in multiple predefined intervals; If the target cell is determined to be under high load based on the PRB utilization interval distribution index, the target cell will be expanded.

2. The method according to claim 1, further comprising: Based on the PRB utilization rate interval distribution index, determine the first distribution ratio of PRB resource utilization rates that are greater than or equal to the first preset utilization rate threshold in each sampling period; If the first distribution ratio is greater than or equal to the second preset ratio threshold, the target cell is determined to be in a high-load state during the statistical period.

3. The method according to claim 2, wherein, The step of determining that the target cell is in a high-load state during the statistical period when the first distribution ratio is greater than or equal to the second preset ratio threshold includes: If the cell load index meets the first preset condition and the first distribution ratio is greater than or equal to the second preset ratio threshold, it is determined that the target cell is in a high load state during the statistical period. Wherein, the cell load index meets the first preset condition, including at least one of the following: The average number of connected users in Radio Resource Control (RRC) exceeds the first threshold. The average maximum number of connected users in the RRC is greater than the second threshold; The air interface traffic of the community exceeds the third threshold; The average throughput per user is less than the fourth threshold.

4. The method according to any one of claims 1 to 3, further comprising: Based on the distribution quantity and / or proportion of PRB resource utilization rate in each sampling period within each predefined interval of the PRB utilization rate interval distribution index, and the service utilization quantity and / or service utilization proportion of the target cell within the statistical period, the equivalent distribution index of PRB utilization rate interval for the target cell is determined; wherein, the service utilization proportion is used to represent the proportion of the target cell that is in working state within the statistical period; and the service utilization quantity is used to represent the quantity of the target cell that is in working state within the statistical period. Based on the equivalent distribution index of the PRB utilization interval, it is determined whether the target cell is in the high load state during the statistical period.

5. The method according to claim 4, wherein, The service utilization ratio is: the proportion of the PRB resource utilization rate of the target cell in each sampling period within the statistical period that is greater than or equal to the second preset utilization rate threshold in the PRB resource utilization rate of each sampling period. The number of services utilized is: the number of PRB resource utilization rates of the target cell in each sampling period within the statistical period that are greater than or equal to the second preset utilization rate threshold.

6. The method according to claim 4, wherein, The service utilization ratio is the ratio of the total scheduling time of the target cell within the statistical period to the duration of the statistical period.

7. The method according to any one of claims 4 to 6, wherein, Determining whether the target cell is in the high-load state within the statistical period based on the equivalent distribution index of the PRB utilization rate interval includes: Based on the equivalent distribution index of the PRB utilization rate interval, the second distribution ratio of the PRB resource utilization rate that is greater than or equal to the third preset utilization rate threshold in each sampling period is determined. If the second distribution ratio is greater than or equal to the third preset ratio threshold, the target cell is determined to be in a high-load state during the statistical period.

8. The method according to claim 7, wherein, The step of determining that the target cell is in a high-load state during the statistical period when the second distribution ratio is greater than or equal to a third preset ratio threshold includes: If the cell load index meets the second preset condition and the second distribution ratio is greater than or equal to the third preset ratio threshold, the target cell is determined to be in a high load state during the statistical period. Wherein, the cell load index meets the second preset condition, including at least one of the following: The average number of connected users in the RRC is greater than the fifth threshold; The average maximum number of connected users in the RRC is greater than the sixth threshold; The air interface traffic of the community exceeds the seventh threshold; The average throughput of users is less than the eighth threshold.

9. The method according to any one of claims 1 to 8, wherein, The step of expanding the capacity of the target cell when it is determined that the target cell is in a high-load state based on the PRB utilization interval distribution index includes: Based on the PRB utilization interval distribution index, it is determined whether the target cell is in a high-load state during the statistical period; If the ratio of the high-load statistical period to the capacity expansion assessment period of the target cell is greater than a first preset ratio threshold, the target cell will be expanded; the high-load statistical period is the statistical period during which the target cell is in a high-load state in the capacity expansion assessment period.

10. An electronic device comprising a processor and a memory, the processor being coupled to the memory; the memory being used to store computer instructions, the computer instructions being invoked and executed by the processor to enable the electronic device to implement the cell expansion method as described in any one of claims 1 to 9.

11. A computer-readable storage medium comprising computer instructions that, when executed on an electronic device, cause the electronic device to perform the cell expansion method according to any one of claims 1 to 9.

12. A computer program product comprising a computer program that, when run on an electronic device, causes the electronic device to perform the cell expansion method as described in any one of claims 1 to 9.

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