Wireless network capacity expansion analysis method, device and electronic equipment

Abstract

The embodiments of the present invention relate to the field of wireless network technology, and disclose a wireless network expansion analysis method, device, and electronic device. The method includes: determining the carrying threshold of the network traffic in the target area; determining multiple carrying sample values ​​of the network traffic in the target area at different time points; generating a high load frequency value of the network equipment in the target area according to the carrying threshold and the carrying sample value, wherein the high load frequency value is used to characterize the frequency of the network equipment in a high load state; generating a high load degree value of the network equipment in the target area according to the carrying threshold and the carrying sample value, wherein the high load degree value is used to characterize the degree to which the network equipment is in a high load state; determining whether the target area needs wireless network expansion according to the high load frequency value and the high load degree value. Through the above method, the embodiments of the present invention realize an accurate assessment of whether the wireless network needs to be expanded.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of wireless network technology, and in particular to a wireless network expansion analysis method, device and electronic equipment. Background Art

[0002] With the increase of network users and the continuous increase of network demand, the wireless network of the base station is often in a high-load operation state. Therefore, it is necessary to evaluate the wireless network load of the base station to determine whether the wireless network of the base station needs to be expanded.

[0003] In the related art, the wireless network load of a base station is often evaluated based on a single base station, and the wireless network load of the target area is evaluated by calculating the indicator "cell busy hour utilization rate". However, in the process of implementing the embodiments of the present invention, the inventors found that the evaluation of the wireless network load based on a single base station in the related art has defects, the evaluation process does not consider the load balancing effect between base stations, and the evaluation accuracy of wireless network expansion is low. Summary of the invention

[0004] In view of the above problems, the embodiments of the present invention provide a wireless network capacity expansion analysis method, device and electronic device, which are used to solve the problem of low accuracy in evaluating whether a wireless network needs capacity expansion in the prior art.

[0005] According to one aspect of an embodiment of the present invention, a method for analyzing wireless network capacity expansion is provided, the method comprising:

[0006] Determine the load threshold of network traffic in the target area;

[0007] Determine a plurality of load sample values ​​of the network traffic in the target area at different time points;

[0008] Generate a high load frequency value of the network device in the target area according to the load threshold and the load sample value, wherein the high load frequency value is used to characterize the frequency of the network device being in a high load state;

[0009] Generate a high load degree value of the network device in the target area according to the load threshold and the load sample value, wherein the high load degree value is used to characterize the degree to which the network device is in a high load state;

[0010] Whether the target area needs wireless network capacity expansion is determined according to the high load frequency value and the high load degree value.

[0011] In an optional manner, there are multiple target areas, and the method further includes:

[0012] Determine the capacity expansion priority of each target area according to the high load frequency value and the high load degree value of each target area, wherein the capacity expansion priority is used to characterize the priority order of wireless network capacity expansion of each target area;

[0013] The target area with the highest capacity expansion priority is determined as the target area for priority wireless network capacity expansion.

[0014] In an optional manner, determining the load threshold of the network traffic in the target area includes:

[0015] Obtaining target spectrum efficiency and configured bandwidth of all base station carriers in the target area;

[0016] The product of the target spectrum efficiency and the configured bandwidth of each base station carrier is determined as the carrying capacity of the corresponding base station carrier;

[0017] The sum of the carrying capacities of all base station carriers in the target area is determined as a carrying threshold of the network traffic in the target area.

[0018] In an optional manner, determining a plurality of bearer sample values ​​of the network traffic in the target area at different time points includes:

[0019] Determine a statistical period of a sample value of network traffic in the target area;

[0020] Dividing the statistical period into a plurality of statistical time intervals according to a preset time interval;

[0021] The load sample value corresponding to the network traffic of the target area in each statistical time interval is determined respectively.

[0022] In an optional manner, generating the high load frequency value of the network device in the target area according to the load threshold and the load sample value includes:

[0023] Determine a load sample value greater than the load threshold as a high-load load sample value, and determine the number of the high-load load sample values ​​as a high-load sample number;

[0024] The ratio of the high-load sample number to a preset high-load sample number threshold is determined as the high-load frequency value of the network device in the target area.

[0025] In an optional manner, generating the high load degree value of the network device in the target area according to the load threshold and the load sample value includes:

[0026] Determine the average of all high load bearing sample values;

[0027] The ratio of the average value to the load threshold is determined as the high load degree value of the network equipment in the target area.

[0028] In an optional manner, determining whether the target area needs wireless network capacity expansion according to the high load frequency value and the high load degree value includes:

[0029] When the high load frequency value is greater than a preset frequency threshold, and the high load degree value is greater than a preset degree threshold, determining that the target area needs to be expanded;

[0030] When the high load frequency value is not greater than the preset frequency threshold, or the high load degree value is not greater than the preset degree threshold, it is determined that the target area does not need to be expanded.

[0031] According to another aspect of an embodiment of the present invention, a wireless network capacity expansion analysis device is provided, the device comprising:

[0032] A first determination module is used to obtain a carrying threshold of network traffic in a target area;

[0033] A second determination module is used to determine a plurality of load sample values ​​of the network traffic in the target area at different time points;

[0034] A first generating module, configured to determine a high load frequency value of the network device in the target area according to the load threshold and the load sample value, wherein the high load frequency value is used to characterize the frequency of the network device being in a high load state;

[0035] A second generating module is used to determine a high load degree value of the network device in the target area according to the load threshold and the load sample value, wherein the high load degree value is used to characterize the degree to which the network device is in a high load state;

[0036] The third determination module is used to determine whether the target area needs wireless network capacity expansion according to the high load frequency value and the high load degree value.

[0037] According to another aspect of an embodiment of the present invention, there is provided an electronic device, comprising: a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus;

[0038] The memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute the operation of the above-mentioned wireless network capacity expansion analysis method.

[0039] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is provided, wherein at least one executable instruction is stored in the storage medium. When the executable instruction is executed on an electronic device, the electronic device executes the operations of the above-mentioned wireless network capacity expansion analysis method.

[0040] After the embodiment of the present invention determines the carrying threshold of the network traffic in the target area and multiple carrying sample values ​​of the network traffic in the target area at different time points, the high load frequency value and the high load degree value of the network equipment in the target area can be generated respectively according to the carrying threshold and the carrying sample value. The high load frequency value is used to characterize the frequency of the network equipment being in a high load state, and the high load degree value is used to characterize the degree to which the network equipment is in a high load state; according to the high load frequency value and the high load degree value, it can be determined whether the target area needs wireless network capacity expansion. It can be seen that the embodiment of the present invention judges whether the target area needs wireless network capacity expansion by generating high load frequency value and high load degree value, so that the judgment on whether the target area needs wireless network capacity expansion is more accurate.

[0041] The above description is only an overview of the technical solution of the embodiment of the present invention. In order to more clearly understand the technical means of the embodiment of the present invention, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the embodiment of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The accompanying drawings are only used to illustrate the embodiments and are not to be considered as limiting the present invention. In addition, the same reference symbols are used to represent the same components throughout the accompanying drawings. In the accompanying drawings:

[0043] Figure 1 A schematic diagram of a flow chart of a wireless network capacity expansion analysis method provided by an embodiment of the present invention is shown;

[0044] Figure 2 A schematic diagram of capacity expansion priority sorting analysis provided by an embodiment of the present invention is shown;

[0045] Figure 3 A schematic diagram showing the structure of a wireless network capacity expansion analysis device provided by an embodiment of the present invention is shown;

[0046] Figure 4 A schematic structural diagram of an electronic device provided by an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0047] Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be limited to the embodiments set forth herein.

[0048] Figure 1 The flowchart of the wireless network expansion analysis method according to the embodiment of the present invention is shown, and the method is executed by an electronic device. The memory of the electronic device is used to store at least one executable instruction, and the executable instruction enables the processor of the electronic device to execute the operation of the wireless network expansion analysis method.

[0049] like Figure 1 As shown, the method comprises the following steps:

[0050] Step 110: Determine a load threshold of network traffic in the target area.

[0051] The target area is the area where wireless network expansion analysis is required. The target area is generally a continuous area covered by a 5G wireless network, generally including 7 to 19 5G wireless network base stations, that is, one or two circles of adjacent base stations in the wireless cellular network. The 5G wireless network base station uses mMIMO (massive Multiple-Input Multiple-Output) technology, which can accurately adjust the direction of the wireless network beam. Combined with the adjustment of the wireless network transmission power, the 5G wireless network base station can flexibly adjust the coverage range, shrink or expand the service range, thereby effectively realizing load balancing between different base stations. For example, for two wireless network base stations A and B within the target area, wireless network base station A carries 200 users and operates in a high-load state; wireless network base station B carries 100 users and operates in a low-load state; by shrinking the coverage of wireless network base station A and expanding the coverage of wireless network base station B, 50 users in wireless network base station A can be migrated to wireless network base station B, so that after migration, the number of users carried by wireless network base station A and wireless network base station B is 150, thereby solving the high load problem of wireless network A, while giving full play to the capacity of wireless network base station B, and realizing load balancing between wireless network base station A and wireless network base station B. The carrying threshold of network traffic in the target area refers to the rated value of network traffic that the wireless network in the target area can carry. The carrying threshold of network traffic in the target area is generally related to the performance of the base station in the target area, and the carrying threshold of network traffic in the target area can be obtained by analyzing the performance of each base station in the target area.

[0052] In an optional method, the target spectrum efficiency and configured bandwidth of all base station carriers in the target area can be obtained, the product of the target spectrum efficiency and configured bandwidth of each base station carrier can be determined as the carrying capacity of the corresponding base station carrier, and the sum of the carrying capacities of all base station carriers in the target area can be determined as the carrying threshold of the network traffic in the target area.

[0053] Among them, the target spectrum efficiency of the base station carrier is the traffic carrying capacity that the base station carrier should achieve, which is directly related to the performance of the base station equipment and can be obtained from the existing test data. Different types of base station carriers generally have different target spectrum efficiencies. For example, the target spectrum efficiency of the base station carrier of the 5G TDD standard is generally 0.19GB / MHz, which means that 0.19GB of data can be transmitted for every 1MHz of frequency resources in one statistical period. The unit of the target spectrum efficiency is GB / MHz, and the corresponding statistical period is generally 15 minutes. The configured bandwidth of the base station carrier is the basic configuration data of the base station and can be directly obtained from the network management system. The carrying threshold of the network traffic in the target area can generally be calculated using the following formula:

[0054]

[0055] Among them, C ref is the load threshold of the network traffic in the target area, e i is the target spectrum efficiency of the base station carrier, b i The configured bandwidth of the base station carrier.

[0056] It should be noted that a wireless network base station can have multiple base station carriers, and each base station carrier has different target spectrum efficiency and configured bandwidth. For example, there are 7 wireless network base stations in the target area, and each wireless network base station has 3 2.6GHz TDD 5G base station carriers, that is, there are 21 2.6GHz TDD 5G base station carriers in the target area. If the configured bandwidth of each 2.6GHz TDD 5G base station carrier is 100MHz, then the carrying threshold of the network traffic in the target area is C ref =0.19×100×21=400GB.

[0057] Step 120: Determine a plurality of load sample values ​​of the network traffic in the target area at different time points.

[0058] The sample value of the network traffic carried by the target area may represent the actual value of the network traffic carried by the wireless network in the target area at different time points.

[0059] In an optional method, the statistical period of the load-bearing sample value of the network traffic in the target area can be determined first, and then the statistical period can be divided into multiple statistical time intervals according to a preset time interval, and the load-bearing sample value corresponding to the network traffic in the target area in each statistical time interval can be determined respectively.

[0060] Among them, the statistical period of the load sample value of the network traffic in the target area can be any time interval, such as 24 hours. If the preset time interval is 15 minutes, for example, the statistical period can be divided into 96 statistical time intervals, and the duration of each statistical time interval is 15 minutes. When calculating the load sample value of any statistical time interval, the actual value of the network traffic carried by each wireless network base station in the statistical time interval can be calculated separately, and then the actual data of the network traffic carried by all wireless network base stations in all target areas can be added to obtain the load sample value of the statistical time interval. The actual value of the network traffic carried by each wireless network base station in any statistical time interval can be directly obtained from the network management system. Each load sample value C of the network traffic in the target area at different time points j It can be calculated by the following formula:

[0061]

[0062] Among them, c ij is the actual value of the network traffic carried by the i-th base station in the target area in the j-th statistical time interval, in GB; c ij It can be directly obtained from the network management system of the wireless network; the value range of i is 1 to n, n is the total number of base stations in the target area, and the value range of j is 1 to m, m represents the number of statistical time intervals included in the statistical cycle. The above formula can be used to calculate the load sample value corresponding to each statistical time interval.

[0063] Step 130: Generate a high load frequency value of the network device in the target area according to the load threshold and the load sample value, wherein the high load frequency value is used to characterize the frequency of the network device being in a high load state.

[0064] According to the load threshold and the load sample value, a high load frequency value T of the network device in the target area can be generated, and the high load frequency value T is used to characterize the frequency of the network device being in a high load state.

[0065] In an optional manner, a load sample value greater than a load threshold value may be determined as a high-load load sample value, the number of high-load load sample values ​​may be determined as a high-load sample number, and the ratio of the high-load sample number to a preset high-load sample number threshold value may be determined as a high-load frequency value T of the network device in the target area. For example, if the number of high-load samples in all 96 load sample values ​​in the target area is 10, and the high-load sample number threshold value is 5, then the high-load frequency value T is 10 / 5=2. The high-load sample number threshold value may be customized and is not limited here. High-load sample number threshold value t total It can be calculated by the following formula:

[0066] in

[0067] Among them, when the carrying sample value C j Greater than the load threshold C ref When t j =1, indicating that the jth load sample value is a high-load load sample value; when the load sample value C j Not greater than the load threshold C ref When t j = 0, indicating that the jth load sample value is not a high-load load sample value. m is the total number of load sample values, which is equal to the number of statistical time intervals included in the statistical cycle.

[0068] Step 140: Generate a high load degree value of the network device in the target area according to the load threshold and the load sample value, wherein the high load degree value is used to characterize the degree to which the network device is in a high load state.

[0069] According to the load threshold and the load sample value, a high load level value S of the network device in the target area can be generated, and the high load level value S is used to characterize the degree to which the network device is in a high load state.

[0070] In an optional manner, the average value of all high-load bearing sample values ​​may be determined first, and then the ratio of the average value to the bearing threshold may be determined as the high-load degree value S of the network device in the target area. For example, the bearing threshold of the target area is 400GB, and there are 10 high-load samples in the target area. The high-load bearing sample values ​​corresponding to each high-load sample are 500GB, 500GB, 550GB, 550GB, 600GB, 600GB, 650GB, 650GB, 700GB and 700GB, respectively. The average value of the high-load bearing sample values ​​of the target area is 600GB, so the high-load degree value S of the target area is 600 / 400=1.5. The high-load degree value S of the target area may be calculated by the following formula:

[0071]

[0072] Among them, t total is the number of high-load samples; C j The high-load bearing sample value corresponding to the j-th high-load sample can be directly obtained from the network management system of the wireless network.

[0073] Step 150: Determine whether the target area needs wireless network capacity expansion according to the high load frequency value and the high load degree value.

[0074] Among them, whether the target area needs wireless network capacity expansion can be determined according to the high load frequency value T and the high load degree value S.

[0075] In an optional manner, when it is determined that the high load frequency value T is greater than the preset frequency threshold, and the high load degree value S is greater than the preset degree threshold, it is determined that the target area needs to be expanded; when it is determined that the high load frequency value T is not greater than the preset frequency threshold, or the high load degree value S is not greater than the preset degree threshold, it is determined that the target area does not need to be expanded. The preset frequency threshold and the preset degree threshold can be customized. Preferably, the preset frequency threshold is 1 and the preset degree threshold is 1.

[0076] In an optional manner, for multiple target areas, the capacity expansion priority Q of each target area can be determined according to the high load frequency value T and the high load degree value S of each target area. The capacity expansion priority Q is used to characterize the priority order of wireless network capacity expansion in the target area, and the target area with the largest capacity expansion priority Q is determined as the target area for priority wireless network capacity expansion. The capacity expansion priority Q can be calculated, for example, by the following formula:

[0077] Q = T × S × k,

[0078] Among them, k is a discriminant factor. When the high load frequency value T and the high load degree value S are both greater than 1, it indicates that the target area needs to be expanded. At this time, k=1, Q>1; when the high load frequency value T is less than 1, or the high load degree value S is less than 1, it indicates that the target area does not need to be expanded. At this time, k=0, Q=0. For example, for area E, the high load frequency value T and the high load degree value S are 2 and 1.5 respectively; for area F, the high load frequency value T and the high load degree value S are 1.2 and 2.1 respectively; then the expansion priority Q of area E is 2×1.5=3, and the expansion priority Q of area F is 1.2×2.1=2.52. Therefore, the expansion priority of area E is greater than that of area F. Compared with area F, area E should be expanded first.

[0079] Figure 2 FIG. 2 shows a schematic diagram of capacity expansion priority sorting analysis provided by an embodiment of the present invention. Figure 2As shown, the high load frequency value T and the high load degree value S of the target area can also be marked in a coordinate system with the high load frequency value T as the horizontal axis and the high load degree value S as the vertical axis. For multiple target areas, the high load frequency value T and the high load degree value S of each target area correspond to a point [T, S] in the coordinate system, and the area of ​​the rectangle surrounded by the point [T, S] and the horizontal axis and the vertical axis is the capacity expansion priority of the target area. The area of ​​the rectangle corresponding to area E is 3, and the area of ​​the rectangle corresponding to area F is 2.52. It can also be judged that the capacity expansion priority of area E is greater than that of area F.

[0080] After the embodiment of the present invention determines the carrying threshold of the network traffic in the target area and multiple carrying sample values ​​of the network traffic in the target area at different time points, the high load frequency value and the high load degree value of the network equipment in the target area can be generated respectively according to the carrying threshold and the carrying sample value. The high load frequency value is used to characterize the frequency of the network equipment being in a high load state, and the high load degree value is used to characterize the degree to which the network equipment is in a high load state; according to the high load frequency value and the high load degree value, it can be determined whether the target area needs wireless network capacity expansion. It can be seen that the embodiment of the present invention judges whether the target area needs wireless network capacity expansion by generating high load frequency value and high load degree value, so that the judgment on whether the target area needs wireless network capacity expansion is more accurate.

[0081] Figure 3 FIG. 1 is a schematic diagram showing the structure of a wireless network capacity expansion analysis device according to an embodiment of the present invention. Figure 3 As shown, the device 300 includes: a first determination module 310 , a second determination module 320 , a first generation module 330 , a second generation module 340 and a third determination module 350 .

[0082] Among them, the first determination module 310 is used to obtain the carrying threshold of the network traffic in the target area; the second determination module 320 is used to determine multiple carrying sample values ​​of the network traffic in the target area at different time points; the first generation module 330 is used to determine the high load frequency value of the network equipment in the target area according to the carrying threshold and the carrying sample value, wherein the high load frequency value is used to characterize the frequency of the network equipment in a high load state; the second generation module 340 is used to determine the high load degree value of the network equipment in the target area according to the carrying threshold and the carrying sample value, wherein the high load degree value is used to characterize the degree to which the network equipment is in a high load state; the third determination module 350 is used to determine whether the target area needs wireless network capacity expansion according to the high load frequency value and the high load degree value.

[0083] In an optional manner, there are multiple target areas, and the device 300 further includes a fourth determining module 360, which is used to:

[0084] Determine the capacity expansion priority of each target area according to the high load frequency value and the high load degree value of each target area, wherein the capacity expansion priority is used to characterize the priority order of wireless network capacity expansion of each target area;

[0085] The target area with the highest expansion priority is determined as the target area for priority wireless network expansion.

[0086] In an optional manner, the first determining module 310 is used to:

[0087] Obtaining target spectrum efficiency and configured bandwidth of all base station carriers in the target area;

[0088] The product of the target spectrum efficiency and the configured bandwidth of each base station carrier is determined as the carrying capacity of the corresponding base station carrier;

[0089] The sum of the carrying capacities of all base station carriers in the target area is determined as a carrying threshold of the network traffic in the target area.

[0090] In an optional manner, the second determining module 320 is used to:

[0091] Determine a statistical period of a sample value of network traffic in the target area;

[0092] Dividing the statistical period into a plurality of statistical time intervals according to a preset time interval;

[0093] The load sample value corresponding to the network traffic of the target area in each statistical time interval is determined respectively.

[0094] In an optional manner, the first generating module 330 is used to:

[0095] Determine a load sample value greater than the load threshold as a high-load load sample value, and determine the number of the high-load load sample values ​​as a high-load sample number;

[0096] The ratio of the high-load sample number to a preset high-load sample number threshold is determined as the high-load frequency value of the network device in the target area.

[0097] In an optional manner, the second generating module 340 is used to:

[0098] Determine the average of all high load bearing sample values;

[0099] The ratio of the average value to the load threshold is determined as the high load degree value of the network equipment in the target area.

[0100] In an optional manner, the third determining module 350 is used to:

[0101] When the high load frequency value is greater than a preset frequency threshold, and the high load degree value is greater than a preset degree threshold, determining that the target area needs to be expanded;

[0102] When the high load frequency value is not greater than the preset frequency threshold, or the high load degree value is not greater than the preset degree threshold, it is determined that the target area does not need to be expanded.

[0103] After the embodiment of the present invention determines the carrying threshold of the network traffic in the target area and multiple carrying sample values ​​of the network traffic in the target area at different time points, the high load frequency value and the high load degree value of the network equipment in the target area can be generated respectively according to the carrying threshold and the carrying sample value. The high load frequency value is used to characterize the frequency of the network equipment being in a high load state, and the high load degree value is used to characterize the degree to which the network equipment is in a high load state; according to the high load frequency value and the high load degree value, it can be determined whether the target area needs wireless network capacity expansion. It can be seen that the embodiment of the present invention judges whether the target area needs wireless network capacity expansion by generating high load frequency value and high load degree value, so that the judgment on whether the target area needs wireless network capacity expansion is more accurate.

[0104] Figure 4 A schematic diagram of the structure of an electronic device according to an embodiment of the present invention is shown. The specific embodiment of the present invention does not limit the specific implementation of the electronic device.

[0105] like Figure 4 As shown, the electronic device may include: a processor (processor) 402 , a communication interface (Communications Interface) 404 , a memory (memory) 406 , and a communication bus 408 .

[0106] The processor 402, the communication interface 404, and the memory 406 communicate with each other via the communication bus 408. The communication interface 404 is used to communicate with other devices such as a client or other server network elements. The processor 402 is used to execute the program 410, which can specifically execute the relevant steps in the above-mentioned embodiment of the wireless network expansion analysis method.

[0107] Specifically, the program 410 may include program code including computer executable instructions.

[0108] The processor 402 may be a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present invention. The one or more processors included in the electronic device may be processors of the same type, such as one or more CPUs; or processors of different types, such as one or more CPUs and one or more ASICs.

[0109] The memory 406 is used to store the program 410. The memory 406 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0110] Program 410 can be specifically called by processor 402 to enable the electronic device to perform the following operations:

[0111] Determine the load threshold of network traffic in the target area;

[0112] Determine a plurality of load sample values ​​of the network traffic in the target area at different time points;

[0113] Generate a high load frequency value of the network device in the target area according to the load threshold and the load sample value, wherein the high load frequency value is used to characterize the frequency of the network device being in a high load state;

[0114] Generate a high load degree value of the network device in the target area according to the load threshold and the load sample value, wherein the high load degree value is used to characterize the degree to which the network device is in a high load state;

[0115] Whether the target area needs wireless network capacity expansion is determined according to the high load frequency value and the high load degree value.

[0116] In an optional manner, there are multiple target areas, and the program 410 is called by the processor 402 to enable the electronic device to perform the following operations:

[0117] Determine the capacity expansion priority of each target area according to the high load frequency value and the high load degree value of each target area, wherein the capacity expansion priority is used to characterize the priority order of wireless network capacity expansion of each target area;

[0118] The target area with the highest expansion priority is determined as the target area for priority wireless network expansion.

[0119] In an optional manner, the program 410 is called by the processor 402 to enable the electronic device to perform the following operations:

[0120] Obtaining target spectrum efficiency and configured bandwidth of all base station carriers in the target area;

[0121] The product of the target spectrum efficiency and the configured bandwidth of each base station carrier is determined as the carrying capacity of the corresponding base station carrier;

[0122] The sum of the carrying capacities of all base station carriers in the target area is determined as a carrying threshold of the network traffic in the target area.

[0123] In an optional manner, the program 410 is called by the processor 402 to enable the electronic device to perform the following operations:

[0124] Determine a statistical period of a sample value of network traffic in the target area;

[0125] Dividing the statistical period into a plurality of statistical time intervals according to a preset time interval;

[0126] The load sample value corresponding to the network traffic of the target area in each statistical time interval is determined respectively.

[0127] In an optional manner, the program 410 is called by the processor 402 to enable the electronic device to perform the following operations:

[0128] Determine a load sample value greater than the load threshold as a high-load load sample value, and determine the number of the high-load load sample values ​​as a high-load sample number;

[0129] The ratio of the high-load sample number to a preset high-load sample number threshold is determined as the high-load frequency value of the network device in the target area.

[0130] In an optional manner, the program 410 is called by the processor 402 to enable the electronic device to perform the following operations:

[0131] Determine the average of all high load bearing sample values;

[0132] The ratio of the average value to the load threshold is determined as the high load degree value of the network equipment in the target area.

[0133] In an optional manner, the program 410 is called by the processor 402 to enable the electronic device to perform the following operations:

[0134] When the high load frequency value is greater than a preset frequency threshold, and the high load degree value is greater than a preset degree threshold, determining that the target area needs to be expanded;

[0135] When the high load frequency value is not greater than the preset frequency threshold, or the high load degree value is not greater than the preset degree threshold, it is determined that the target area does not need to be expanded.

[0136] After the embodiment of the present invention determines the carrying threshold of the network traffic in the target area and multiple carrying sample values ​​of the network traffic in the target area at different time points, the high load frequency value and the high load degree value of the network equipment in the target area can be generated respectively according to the carrying threshold and the carrying sample value. The high load frequency value is used to characterize the frequency of the network equipment being in a high load state, and the high load degree value is used to characterize the degree to which the network equipment is in a high load state; according to the high load frequency value and the high load degree value, it can be determined whether the target area needs wireless network capacity expansion. It can be seen that the embodiment of the present invention judges whether the target area needs wireless network capacity expansion by generating high load frequency value and high load degree value, so that the judgment on whether the target area needs wireless network capacity expansion is more accurate.

[0137] An embodiment of the present invention provides a computer-readable storage medium, wherein the storage medium stores at least one executable instruction. When the executable instruction is executed on an electronic device, the electronic device executes the wireless network capacity expansion analysis method in any of the above method embodiments.

[0138] An embodiment of the present invention provides a wireless network capacity expansion analysis device, which is used to execute the wireless network capacity expansion analysis method.

[0139] An embodiment of the present invention provides a computer program, which can be called by a processor to enable an electronic device to execute the wireless network capacity expansion analysis method in any of the above method embodiments.

[0140] An embodiment of the present invention provides a computer program product, which includes a computer program stored on a computer-readable storage medium. The computer program includes program instructions. When the program instructions are executed on a computer, the computer executes the wireless network capacity expansion analysis method in any of the above method embodiments.

[0141] The algorithm or display provided herein is not inherently related to any particular computer, virtual system or other equipment. Various general purpose systems can also be used together with the teachings based on this. According to the above description, it is obvious to construct the structure required for this type of system. In addition, the embodiment of the present invention is not directed to any specific programming language yet. It should be understood that various programming languages ​​can be utilized to realize the content of the present invention described herein, and the description made to specific languages ​​above is for disclosing the best mode of the present invention.

[0142] In the description provided herein, a large number of specific details are described. However, it is understood that embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, structures and techniques are not shown in detail so as not to obscure the understanding of this description.

[0143] Similarly, it should be understood that in order to streamline the present invention and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the present invention, various features of the embodiments of the present invention are sometimes grouped together into a single embodiment, figure, or description thereof. However, this method of disclosure should not be interpreted as reflecting an intention that the claimed invention requires more features than those expressly recited in each claim.

[0144] Those skilled in the art will appreciate that the modules in the devices in the embodiments may be adaptively changed and arranged in one or more devices different from the embodiments. The modules or units or components in the embodiments may be combined into one module or unit or component, and may be divided into a plurality of submodules or subunits or subcomponents. Except that at least some of such features and / or processes or units are mutually exclusive, all features disclosed in this specification (including the accompanying claims, abstracts and drawings) and all processes or units of any method or device disclosed in this manner may be combined in any combination. Unless otherwise expressly stated, each feature disclosed in this specification (including the accompanying claims, abstracts and drawings) may be replaced by an alternative feature providing the same, equivalent or similar purpose.

[0145] It should be noted that the above embodiments illustrate the present invention rather than limit it, and that those skilled in the art may devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference symbol between brackets shall not be construed as a limitation on the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "one" or "an" preceding an element does not exclude the presence of a plurality of such elements. The present invention may be implemented by means of hardware comprising a number of different elements and by means of a suitably programmed computer. In a unit claim enumerating a number of devices, several of these devices may be embodied by the same hardware item. The use of the words first, second, and third, etc. does not indicate any order. These words may be interpreted as names. The steps in the above embodiments, unless otherwise specified, should not be understood as limitations on the order of execution.

Claims

1. A wireless network capacity expansion analysis method, characterized in that: The method comprises: Determine the load threshold of network traffic in the target area; Determine a plurality of load sample values ​​of the network traffic in the target area at different time points; According to the load threshold and the load sample value, a high load frequency value of the network device in the target area is generated, including: determining a load sample value greater than the load threshold as a high load load sample value, and determining the number of the high load load sample values ​​as a high load sample number; determining a ratio of the high load sample number to a preset high load sample number threshold as a high load frequency value of the network device in the target area, wherein the high load frequency value is used to characterize the frequency of the network device being in a high load state; Generating a high load degree value of the network device in the target area according to the load threshold and the load sample value, including: determining an average value of all high load load sample values; determining a ratio of the average value to the load threshold as a high load degree value of the network device in the target area, wherein the high load degree value is used to characterize the degree to which the network device is in a high load state; Whether the target area needs wireless network capacity expansion is determined according to the high load frequency value and the high load degree value.

2. The method according to claim 1, characterized in that: There are multiple target areas, and the method further includes: Determine the capacity expansion priority of each target area according to the high load frequency value and the high load degree value of each target area, wherein the capacity expansion priority is used to characterize the priority order of wireless network capacity expansion of each target area; The target area with the highest expansion priority is determined as the target area for priority wireless network expansion.

3. The method according to claim 1 or 2, characterized in that: The determination of the load threshold of the network traffic in the target area includes: Obtaining target spectrum efficiency and configured bandwidth of all base station carriers in the target area; The product of the target spectrum efficiency and the configured bandwidth of each base station carrier is determined as the carrying capacity of the corresponding base station carrier; The sum of the carrying capacities of all base station carriers in the target area is determined as a carrying threshold of the network traffic in the target area.

4. The method according to claim 1 or 2, characterized in that: Determining a plurality of load sample values ​​of the network traffic in the target area at different time points includes: Determine a statistical period of a sample value of network traffic in the target area; Dividing the statistical period into a plurality of statistical time intervals according to a preset time interval; The load sample value corresponding to the network traffic of the target area in each statistical time interval is determined respectively.

5. The method according to claim 1 or 2, characterized in that: The determining, according to the high load frequency value and the high load degree value, whether the target area needs wireless network capacity expansion includes: When the high load frequency value is greater than a preset frequency threshold, and the high load degree value is greater than a preset degree threshold, determining that the target area needs to be expanded; When the high load frequency value is not greater than the preset frequency threshold, or the high load degree value is not greater than the preset degree threshold, it is determined that the target area does not need to be expanded.

6. A wireless network capacity expansion analysis device, characterized in that: The device comprises: A first determination module is used to obtain a carrying threshold of network traffic in a target area; A second determination module is used to determine a plurality of load sample values ​​of the network traffic in the target area at different time points; The first generating module is used to determine the high load frequency value of the network device in the target area according to the load threshold and the load sample value, including: determining the load sample value greater than the load threshold as the high load load sample value, and determining the number of the high load load sample values ​​as the high load sample number; determining the ratio of the high load sample number to a preset high load sample number threshold as the high load frequency value of the network device in the target area, wherein the high load frequency value is used to characterize the frequency of the network device being in a high load state; The second generating module is used to determine the high load degree value of the network device in the target area according to the load threshold and the load sample value, including: determining the average value of all high load load sample values; determining the ratio of the average value to the load threshold as the high load degree value of the network device in the target area, wherein the high load degree value is used to characterize the degree to which the network device is in a high load state; The third determination module is used to determine whether the target area needs wireless network capacity expansion according to the high load frequency value and the high load degree value.

7. An electronic device, characterized in that: include: A processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus; The memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform the operation of the wireless network capacity expansion analysis method as described in any one of claims 1-5.

8. A computer-readable storage medium, characterized in that: The storage medium stores at least one executable instruction. When the executable instruction is executed on the electronic device, the electronic device executes the operation of the wireless network capacity expansion analysis method according to any one of claims 1 to 5.

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