Method and system for identifying signal blind area of base station

Abstract

The invention discloses a method and system for identifying a signal blind area of a base station, and the method is realized based on an ePDG edge computing node, and comprises the steps: obtaining VoWiFi data collected by an ePDG node in real time; based on the VoWiFi data obtained in the current scanning period, analyzing to obtain call demand information of each WiFi area in the current scanning period; based on the call demand information of each WiFi area, determining whether each WiFi area needs to be positioned; and if the WiFi area needing to be positioned exists, reporting the information of the WiFi area needing to be positioned to a core network centralized management node. The method does not need to consume a large amount of manpower and material resources, does not need to sacrifice user experience to passively collect data, and can accurately position a base station signal blind area needing to be optimized.

Description

Technical Field

[0001] The present application relates to the field of communication technology, and in particular to a method and system for identifying base station signal blind spots. Background Art

[0002] At present, although base station signals have basically covered densely populated areas, people can easily use mobile phones and other terminals to make calls in most places with the addition of supplementary calling methods such as VoWiFi and satellite. However, due to factors such as terrain, buildings, weather, and dense population, there are inevitably blind spots for base station signals. Although there are supplementary calling methods such as satellites and VoWiFi, each has great limitations. Satellite signals can only be used when the satellite passes through the area, and VoWiFi can only be used when connected to WiFi. Therefore, in the long run, the problem of base station signal blind spots can only be better solved by optimizing base station deployment.

[0003] In the existing technology, the main means of detecting base station signal blind spots are on-site testing with professional equipment, public complaint feedback, operator signal coverage maps, etc. These methods are either time-consuming and labor-intensive, or passively collect data at the expense of user experience, or only see large and general theoretical data. There is a lack of a technical means that does not consume a lot of manpower and material resources, does not sacrifice user experience, and can accurately identify base station signal blind spots that need to be optimized. Summary of the invention

[0004] The purpose of the present application is to provide a method, system, device and computer-readable storage medium for identifying base station signal blind spots, which does not require consuming a lot of manpower and material resources, nor does it require sacrificing user experience to passively collect data, and can also accurately locate base station signal blind spots that need to be optimized.

[0005] To achieve the above objectives, the present application provides a method for identifying base station signal blind spots, which is implemented based on an ePDG edge computing node and includes:

[0006] Obtain VoWiFi data collected by ePDG nodes in real time;

[0007] Based on the VoWiFi data acquired in the current scanning cycle, the call demand information of each WiFi area in the current scanning cycle is analyzed;

[0008] Based on the call demand information of each WiFi area, determining whether each WiFi area needs to be positioned;

[0009] If there is the WiFi area that needs to be located, the information of the WiFi area that needs to be located is reported to the core network centralized management node.

[0010] Optionally, the VoWiFi data includes an IP address, IMSI and VoWiFi call records of the user terminal;

[0011] One of the IP addresses defines one of the WiFi zones.

[0012] Optionally, the call demand information is obtained by analyzing the number of users accessing the WiFi area in the current scanning period and the total number of VoWiFi call records.

[0013] To achieve the above object, the present application also provides a device, including:

[0014] processor;

[0015] a memory storing executable instructions of the processor;

[0016] The processor is configured to execute the method for identifying a base station signal blind spot as described above by executing the executable instructions.

[0017] To achieve the above objectives, the present application also provides a computer-readable storage medium on which a program is stored, and when the program is executed by a processor, the method for identifying base station signal blind spots as described above is implemented.

[0018] The present application also provides a computer program product or a computer program, which includes a computer instruction stored in a computer-readable storage medium. A processor of an electronic device reads the computer instruction from the computer-readable storage medium, and the processor executes the computer instruction, so that the electronic device executes the method for identifying a base station signal blind spot as described above.

[0019] To achieve the above objectives, the present application also provides a system for identifying base station signal blind spots, the system comprising an ePDG node, an ePDG edge computing node, a network node, and a core network centralized management node;

[0020] The ePDG node is configured to: collect VoWiFi data in real time;

[0021] The ePDG edge computing node is configured as:

[0022] Acquire the VoWiFi data collected by the ePDG node in real time;

[0023] Based on the VoWiFi data acquired in the current scanning cycle, the call demand information of each WiFi area in the current scanning cycle is analyzed;

[0024] Based on the call demand information of each WiFi area, determining whether each WiFi area needs to be positioned;

[0025] If there is the WiFi area that needs to be located, the information of the WiFi area that needs to be located is reported to the core network centralized management node;

[0026] The core network centralized management node is configured to: call core network resources to locate the WiFi area that needs to be located;

[0027] The network node is configured to be responsible for information transmission between the ePDG node, the ePDG edge computing node and the core network centralized management node.

[0028] The VoWiFi data includes the IP address, IMSI and VoWiFi call records of the user terminal, and one IP address defines one WiFi area;

[0029] The real-time collection of VoWiFi data includes:

[0030] When a user terminal accesses the ePDG node, the ePDG node obtains an IP address and an IMSI of the user terminal;

[0031] When the user terminal initiates a VoWiFi call, the ePDG node records the time of the VoWiFi call.

[0032] Optionally, calling core network resources to locate the WiFi area that needs to be located includes:

[0033] Using a base station to locate the location of the user terminal making a VoWiFi call within the WiFi area to be located; or,

[0034] If there is no base station signal at the location of the user terminal in the WiFi area to be located, the base station is used to locate the user terminal when the user terminal goes online again through the base station.

[0035] Optionally, after completing the positioning of the WiFi area that needs to be positioned, the core network centralized management node deletes the positioned WiFi area from the WiFi area list, and the core network centralized management node sends the updated WiFi area list to the ePDG node to collect VoWiFi data for the WiFi areas in the WiFi area list.

[0036] Optionally, the core network centralized management node is further configured to: send a scanning cycle to the ePDG node and the ePDG edge computing node, send ePDG node management information to the ePDG node, and send algorithm strategy information to the ePDG edge computing node;

[0037] The ePDG node management information includes: instruction information that the ePDG node needs to perform VoWiFi data collection, and the WiFi area that the ePDG node needs to scan.

[0038] In the embodiment of the present application, it is only necessary to enhance the relevant nodes in the software to realize the identification of the base station signal blind spot, without consuming a lot of manpower and material resources, and there is no need to wait for user complaints to be fed back before checking the base station signal blind spot. Data can be automatically collected to identify the base station signal blind spot, without sacrificing user experience to passively collect data. Moreover, the embodiment of the present application can accurately identify and locate the base station signal blind spot that is in urgent need of optimization, so as to ensure the user experience at a relatively low cost. In addition, since the base station signal blind spot can be automatically identified and located, the operation and maintenance difficulty and workload of the base station operation and maintenance personnel can be reduced. In addition, in the embodiment of the present application, each ePDG node is responsible for data collection, and the ePDG edge computing node is responsible for calculation and analysis, which is conducive to improving processing efficiency and reducing cloud load. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 It is a non-roaming architecture for intercommunication between ePDG / EPC and 5GS.

[0040] Figure 2 It is a flowchart of a method for identifying base station signal blind spots according to an embodiment of the present application.

[0041] Figure 3 It is an architecture diagram of a system for identifying base station signal blind spots according to an embodiment of the present application.

[0042] Figure 4 It is an information flow diagram of the network node of the embodiment of the present application.

[0043] Figure 5 It is a schematic diagram of ePDG node data collection in an embodiment of the present application.

[0044] Figure 6 It is a schematic block diagram of a device according to an embodiment of the present application. DETAILED DESCRIPTION

[0045] In order to explain the technical content, structural features, achieved objectives and effects of the present application in detail, the following is a detailed description in conjunction with the implementation methods and the accompanying drawings.

[0046] To facilitate understanding of this application, the relevant terms appearing in this application are explained as follows:

[0047] VoWiFi (Voice over Wi-Fi): A technology that transmits voice calls through a wireless local area network (WLAN). Simply put, it is a way to convert traditional mobile calls into calls conducted over a Wi-Fi network. With the support of VoWiFi, a user's mobile phone or other mobile device uses network data to make voice calls when connected to a Wi-Fi network, without relying on the mobile operator's cellular network.

[0048] ePDG (evolved Packet Data Gateway): Evolved Packet Data Gateway. ePDG is mainly used to support Wi-Fi Calling services. ePDG is responsible for handling the routing, forwarding and security functions of data packets to ensure seamless switching and connection between LTE networks and Wi-Fi networks. ePDG plays a key role in mobile communication networks, providing better user experience and service quality.

[0049] EPC (Evolved Packet Core): Evolved packet network, 4G core network.

[0050] 5GS (5G system): 5G core network.

[0051] ePDG / EPC and 5GS can interoperate. Figure 1 , which shows the non-roaming architecture of ePDG / EPC and 5GS intercommunication.

[0052] In addition, the base station signal blind area mentioned in this application refers to a place where there is no base station signal or the base station signal is weak. In the case of a weak base station signal, after the user terminal (such as a mobile phone) is connected to the base station and WiFi, when making a call, the user terminal will prefer VoWiFi to make a call because the base station signal is weak and the WiFi signal is relatively strong. When there is no base station signal, after the user terminal is connected to WiFi, when making a call, the user terminal will make a call through VoWiFi.

[0053] Embodiment 1

[0054] See also Figures 2 to 4, the present application discloses a method for identifying base station signal blind spots, which is implemented based on the ePDG edge computing node 200. The ePDG edge computing node 200 is independent of the ePDG node 100 (ePDG network element), but complements the ePDG node 100. It is mainly used to receive and collect VoWiFi data collected by the ePDG node 100, and organize and store it, and perform calculations and analysis after collecting a sufficient amount of data. This design allows the ePDG edge computing node 200 to connect to multiple ePDG nodes 100 in the same area, which facilitates the unified collection and organization of data in a certain area, and independently stores and backs up the data, avoiding the loss of a large amount of data due to the failure of a certain ePDG node 100, thereby improving data security.

[0055] The method includes:

[0056] S101, obtaining VoWiFi data collected by the ePDG node 100 in real time.

[0057] In this method, the ePDG node 100 is only responsible for collecting the VoWiFi data of the user, and does not perform calculation and analysis on the VoWiFi data, thereby minimizing the impact on the normal service functions of the ePDG node 100.

[0058] In some implementations, the VoWiFi data includes the IP address, IMSI, and VoWiFi call records of the user terminal.

[0059] When a user terminal accesses the ePDG node 100 , the ePDG node 100 records the IP address and IMSI of the user terminal and reports them to the ePDG edge computing node 200 in real time.

[0060] Specifically, one IP address defines one WiFi area, that is, there is a one-to-one correspondence between IP addresses and WiFi areas, and all users in a WiFi area have the same IP address. Due to the existence of NAT, when user terminals in the same WiFi coverage area are connected to ePDG, after NAT conversion, they are reflected as the same IP address (i.e. WiFi or gateway IP) to the outside world, but the port used by each user terminal is different.

[0061] When the user terminal goes online, its IMSI will be carried in the attachment process, so the ePDG node 100 can collect the IMSI information of the user terminal to distinguish different users.

[0062] Please combine Figure 5 , which is a schematic diagram of data collection by the ePDG node 100. The VoWiFi data collected when the user terminal goes online is shown in Table 1:

[0063] IP address of the user terminal IMSI of the user terminal 202.108.10.25 460000123456001 202.108.10.25 460000123456002 202.108.10.26 460000123456003 202.108.10.25 460000123456004

[0064] Table 1

[0065] Depend on Figure 5 As shown in Table 1, in the coverage area of ​​WiFi A, the IP addresses of all user terminals accessing the ePDG are 202.108.10.25, and in the coverage area of ​​WiFi B, the IP addresses of all user terminals accessing the ePDG are 202.108.10.26. The coverage area of ​​WiFi A and the coverage area of ​​WiFi B are respectively a WiFi area defined in this application. Each user terminal has a unique IMSI, and users can be distinguished based on the IMSI.

[0066] When the user terminal initiates a VoWiFi call, the ePDG node 100 immediately reports the call information to the ePDG edge computing node 200 . Specifically, the ePDG node 100 records the time of the VoWiFi call and reports it to the ePDG edge computing node 200 immediately.

[0067] Please refer to Table 2. When the user terminal initiates a VoWiFi call, a dedicated bearer will be created for transmitting voice and video data. Therefore, the ePDG node 100 can determine the time of the VoWiFi call according to the time when the dedicated bearer is created. At this time, the ePDG node 100 will collect the following data and pass it to the ePDG edge computing node 200.

[0068] IMSI of the user terminal User call time 460000123456001 2024-11-24 16:24:31 460000123456002 2024-11-24 12:46:37 460000123456003 2024-11-24 14:34:52 460000123456004 2024-11-24 19:12:30

[0069] Table 2

[0070] S102: Based on the VoWiFi data acquired in the current scanning period, the call demand information of each WiFi area in the current scanning period is analyzed and obtained.

[0071] Specifically, the scanning period can be sent by the core network centralized management node 400 to the ePDG node 100 and the ePDG edge computing node 200 before the scanning starts to determine the scanning time period. After the current scanning period ends, the ePDG edge computing node 200 can calculate and analyze the VoWiFi data obtained in the current scanning period.

[0072] Specifically, the policy information required for the calculation and analysis by the ePDG edge computing node 200 may be issued by the core network centralized management node 400. For example, the policy information may include: whether the number of access users is greater than the number setting value and whether the total number of call records is greater than the call record setting value.

[0073] Specifically, the call demand information, i.e., whether the call demand is high, can be judged based on specific algorithm strategy information. For example, the call demand information can be obtained by analyzing the number of users accessing the WiFi area in the current scanning cycle and the total number of VoWiFi call records. If the number of accessed users is greater than the number setting value and the total number of VoWiFi call records is greater than the number setting value, the call demand is considered to be high, otherwise it is considered that the call demand is not high enough.

[0074] S103: Determine whether each WiFi area needs to be positioned based on the call demand information of each WiFi area.

[0075] When it is determined that the call demand is high, it can be determined that the WiFi area needs to be positioned.

[0076] Please refer to Table 3, which gives an example of a VoWiFi data statistical analysis table. The ePDG edge computing node 200 can organize the VoWiFi data collected by the ePDG node 100 into a data format such as Table 3. Among them, when the user terminal goes online, the ePDG edge computing node 200 will fill in the IP address and IMSI of the user terminal. When the user terminal makes a VoWiFi call, the call record of the user terminal and the total regional call record of the WiFi area to which it belongs will be accumulated in the scanning cycle. The analysis result and whether the two data are located are calculated and judged according to the first four parameters and a specific algorithm strategy after the current scanning cycle is completed. For example, first, the total number of regional call records can be judged according to the algorithm strategy whether it is high (can be compared with the set value). If it is high, it preliminarily indicates that there is a high demand for VoWiFi calls. Secondly, it is judged whether the number of IMSIs under the same IP (same WiFi area) is large (can be compared with the set value). If it is large, it means that the users in the area are dense. Then, the analysis result of high call demand can be obtained, and finally the conclusion that the area needs to be located can be drawn. If the total number of call records in a region is not high, or if the total number of call records in a region is high but there are few users in the region, it can be concluded that the call demand is not high, and finally it can be concluded that positioning is not needed for the region temporarily. Of course, this is just an example of judging the call demand, and different algorithm strategies can be used in different implementations.

[0077]

[0078] Table 3

[0079] S104: If there is a WiFi area that needs to be located, the information of the WiFi area that needs to be located is reported to the core network centralized management node 400 (EPC management platform). The WiFi area that needs to be located is the base station signal blind area that needs to be resolved.

[0080] After the core network centralized management node 400 obtains a list of base station signal blind spots that need to be solved urgently in a scanning cycle, it will call the core network resources to geolocate the WiFi areas in the list. The specific steps are: the ePDG edge computing node 200 finds that a user terminal is making a VoWiFi call in the WiFi area that needs to be located, and immediately reports to the core network centralized management node 400. The core network centralized management node 400 immediately triggers the positioning process for the user terminal (the positioning process can be a conventional process for locating the user terminal through the base station, which will not be repeated here), and locates the location of the user terminal making the VoWiFi call through the base station, thereby obtaining the geographical location of the base station signal blind spot. If there is no base station signal at the location of the user terminal, the user terminal is locked first, and when the user terminal goes online again through the base station, it is positioned again, so that the edge of the base station signal blind spot can be located. The above-mentioned method of locating the base station signal blind spot only needs to locate a specific user once at certain times to locate the base station signal blind spot, and does not require real-time tracking, which has little impact on users.

[0081] After completing the positioning, remove the WiFi area from the list to avoid repeated positioning.

[0082] After positioning is completed, all positioning results can be output to the map to generate a base station signal blind spot report that needs to be resolved urgently. Operators can dispatch personnel to conduct on-site verification and make adjustments to the base station based on the report to optimize the base station signal in the base station signal blind spot.

[0083] In the embodiment of the present application, it is only necessary to enhance the relevant nodes in the software to realize the identification of the base station signal blind spot, without consuming a lot of manpower and material resources, and there is no need to wait for user complaints to be fed back before checking the base station signal blind spot. Data can be automatically collected to identify the base station signal blind spot, and there is no need to sacrifice the user experience to passively collect data. Moreover, the embodiment of the present application can accurately identify and locate the base station signal blind spot that is in urgent need of optimization, so as to ensure the user experience at a relatively low cost. In addition, since the base station signal blind spot can be automatically identified and located, the operation and maintenance difficulty and workload of the base station operation and maintenance personnel can be reduced. In addition, in the embodiment of the present application, each ePDG node 100 is responsible for data collection, and the ePDG edge computing node 200 is responsible for calculation and analysis, which is conducive to improving processing efficiency and reducing cloud load.

[0084] Embodiment 2

[0085] Please combine Figure 6 , the present application discloses a device, comprising:

[0086] Processor 30;

[0087] a memory 40 in which executable instructions of the processor 30 are stored;

[0088] The processor 30 is configured to execute the method for identifying a base station signal blind spot as described in the first embodiment by executing executable instructions.

[0089] Embodiment 3

[0090] The present application discloses a computer-readable storage medium on which a program is stored. When the program is executed by a processor, the method for identifying a base station signal blind spot as described in the first embodiment is implemented.

[0091] Embodiment 4

[0092] The embodiment of the present application discloses a computer program product or a computer program, which includes a computer instruction stored in a computer-readable storage medium. A processor of an electronic device reads the computer instruction from the computer-readable storage medium, and the processor executes the computer instruction, so that the electronic device executes the method for identifying a base station signal blind spot as described in the first embodiment.

[0093] It should be understood that in the embodiments of the present application, the processor referred to may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0094] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by hardware related to computer program instructions, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.

[0095] Embodiment 5

[0096] See also Figure 3 and Figure 4The present application discloses a system for identifying base station signal blind spots, the system comprising an ePDG node 100, an ePDG edge computing node 200, a network node 300 and a core network centralized management node 400.

[0097] The ePDG node 100 is configured to collect VoWiFi data in real time.

[0098] In this method, the ePDG node 100 is only responsible for collecting the VoWiFi data of the user, and does not perform calculation and analysis on the VoWiFi data, thereby minimizing the impact on the normal service functions of the ePDG node 100.

[0099] In some implementations, the VoWiFi data includes the IP address, IMSI, and VoWiFi call records of the user terminal.

[0100] When a user terminal accesses the ePDG node 100 , the ePDG node 100 records the IP address and IMSI of the user terminal and reports them to the ePDG edge computing node 200 in real time.

[0101] Specifically, one IP address defines one WiFi area, that is, there is a one-to-one correspondence between IP addresses and WiFi areas, and all users in a WiFi area have the same IP address. Due to the existence of NAT, when user terminals in the same WiFi coverage area are connected to the ePDG node 100, after NAT conversion, they are reflected as the same IP address (i.e., WiFi or gateway IP) to the outside world, but the port used by each user terminal is different.

[0102] When the user terminal goes online, its IMSI will be carried in the attachment process, so the ePDG node 100 can collect the IMSI information of the user terminal to distinguish different users.

[0103] When the user terminal initiates a VoWiFi call, the ePDG node 100 immediately reports the call information to the ePDG edge computing node 200. Specifically, the ePDG node 100 records the time of the VoWiFi call and immediately reports it to the ePDG edge computing node 200. The ePDG edge computing node 200 can accumulate the call records of the user terminal and the call records in the corresponding WiFi area based on the time of the received VoWiFi call.

[0104] The ePDG edge computing node 200 is configured to: obtain the VoWiFi data collected by the ePDG node 100 in real time; analyze and obtain the call demand information of each WiFi area in the current scanning cycle based on the VoWiFi data obtained in the current scanning cycle; determine whether each WiFi area needs to be located based on the call demand information of each WiFi area; if there is a WiFi area that needs to be located, report the information of the WiFi area that needs to be located to the core network centralized management node 400.

[0105] The core network centralized management node 400 is configured to call core network resources to locate the WiFi area that needs to be located.

[0106] In some implementations, calling core network resources to locate the WiFi area that needs to be located includes:

[0107] Using the base station to locate the location of the user terminal making a VoWiFi call within the WiFi area to be located; or,

[0108] If there is no base station signal at the location of the user terminal in the WiFi area to be located, the base station is used to locate the user terminal when the user terminal goes online again through the base station.

[0109] Specifically, after the core network centralized management node 400 obtains a list of base station signal blind spots that need to be solved urgently in a scanning cycle, it will call the core network resources to geolocate the WiFi areas in the list. The specific steps are: the ePDG edge computing node 200 finds that a user terminal is making a VoWiFi call in the WiFi area that needs to be located, and immediately reports to the core network centralized management node 400. The core network centralized management node 400 immediately triggers the positioning process for the user terminal (the positioning process can be a conventional process for locating the user terminal through the base station, which will not be repeated here), and locates the location of the user terminal making the VoWiFi call through the base station, thereby obtaining the geographical location of the base station signal blind spot. If there is no base station signal at the location of the user terminal, the user terminal is locked first, and when the user terminal goes online again through the base station, it is positioned again, so that the edge of the base station signal blind spot can be located. The above-mentioned method of locating the base station signal blind spot only needs to locate a specific user once at certain times to locate the base station signal blind spot, and no real-time tracking is required.

[0110] Specifically, after completing the positioning of the WiFi area that needs to be positioned, the core network centralized management node 400 deletes the positioned WiFi area from the WiFi area list, and the core network centralized management node 400 sends the updated WiFi area list to the ePDG node 100 to collect VoWiFi data for the WiFi areas in the WiFi area list.

[0111] Specifically, after positioning is completed, all positioning results can be output to the map to generate a base station signal blind spot report that needs to be urgently resolved. Operators can dispatch personnel to conduct on-site verification and make adjustments to the base stations based on the report to optimize the base station signals in the base station signal blind spots.

[0112] Specifically, the core network centralized management node 400 is also configured to: send the scanning cycle to the ePDG node 100 and the ePDG edge computing node 200, send the ePDG node management information to the ePDG node 100, and send the algorithm strategy information to the ePDG edge computing node 200. Among them, the ePDG node management information includes: the instruction information that the ePDG node 100 needs to perform VoWiFi data collection, and the WiFi area that the ePDG node 100 needs to scan. Through the sending of the above management information, all ePDG nodes 100 for data collection and the WiFi area of ​​each ePDG node 100 in this round of scanning can be selected.

[0113] The network node 300 is configured to be responsible for information transmission between the ePDG node 100 , the ePDG edge computing node 200 and the core network centralized management node 400 .

[0114] Please combine Figure 4 Specifically, the scanning cycle sent by the core network centralized management node 400 is sent to the ePDG node 100 and the ePDG edge computing node 200 respectively through the network node 300. The ePDG node management information sent by the core network centralized management node 400 is sent to the ePDG node 100 through the network node 300. The algorithm strategy information sent by the core network centralized management node 400 is sent to the ePDG edge computing node 200 through the network node 300. The VoWiFi data collected by the ePDG node 100 is sent to the ePDG edge computing node 200 through the network node 300. The ePDG edge computing node 200 reports the analysis results (including the information of the WiFi area to be located) to the core network centralized management node 400 through the network node 300.

[0115] In this application, the characteristic that VoWiFi calls mainly occur in scenarios with weak base station signals or no base station signals is utilized, and the data of VoWiFi calls is collected at the ePDG node 100. The ePDG edge computing node 200 calculates and analyzes a certain base station signal blind spot that needs to be cleared urgently, and uploads the result to the core network centralized management node 400. The core network centralized management node 400 summarizes the data, calls conventional user terminal positioning resources, locates the specific geographical location, and then obtains a comprehensive and accurate panoramic view of the base station signal blind spots that need to be solved urgently, so that operators can further optimize their network environment.

[0116] This application only needs to enhance the relevant nodes in the software to realize the identification of base station signal blind spots. It does not need to consume a lot of manpower and material resources, nor does it need to wait for user complaints to check the base station signal blind spots. It can automatically collect data to identify base station signal blind spots, and there is no need to sacrifice user experience to passively collect data. Moreover, this application can accurately identify and locate the base station signal blind spots that are in urgent need of optimization, so as to ensure the user experience at a relatively low cost. In addition, since the base station signal blind spots can be automatically identified and located, the operation and maintenance difficulty and workload of base station operation and maintenance personnel can be reduced. In addition, in the embodiment of the present application, each ePDG node 100 is responsible for data collection, and the ePDG edge computing node 200 is responsible for calculation and analysis, which is conducive to improving processing efficiency and reducing cloud load.

[0117] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0118] The above disclosure is only a preferred example of the present application and cannot be used to limit the scope of rights of the present application. Therefore, equivalent changes made according to the claims of the present application are all within the scope covered by the present application.

Claims

1. A method for identifying base station signal blind spots, characterized in that: The method is implemented based on an ePDG edge computing node and includes: Obtain VoWiFi data collected by ePDG nodes in real time; Based on the VoWiFi data acquired in the current scanning cycle, the call demand information of each WiFi area in the current scanning cycle is analyzed; Based on the call demand information of each WiFi area, determining whether each WiFi area needs to be positioned; If there is the WiFi area that needs to be located, the information of the WiFi area that needs to be located is reported to the core network centralized management node.

2. The method for identifying base station signal blind spots according to claim 1, characterized in that: The VoWiFi data includes the IP address, IMSI and VoWiFi call records of the user terminal; One of the IP addresses defines one of the WiFi zones.

3. The method for identifying base station signal blind spots according to claim 1, characterized in that: The call demand information is obtained by analyzing the number of users accessing the WiFi area in the current scanning period and the total number of VoWiFi call records.

4. A device, characterized in that: include: processor; a memory storing executable instructions of the processor; The processor is configured to execute the method for identifying a base station signal blind spot according to any one of claims 1 to 3 by executing the executable instructions.

5. A computer-readable storage medium having a program stored thereon, characterized in that: When the program is executed by a processor, the method for identifying a base station signal blind spot as described in any one of claims 1 to 3 is implemented.

6. A system for identifying base station signal blind spots, characterized in that: The system includes an ePDG node, an ePDG edge computing node, a network node, and a core network centralized management node; The ePDG node is configured to: collect VoWiFi data in real time; The ePDG edge computing node is configured as: Acquire the VoWiFi data collected by the ePDG node in real time; Based on the VoWiFi data acquired in the current scanning cycle, the call demand information of each WiFi area in the current scanning cycle is analyzed; Based on the call demand information of each WiFi area, determining whether each WiFi area needs to be positioned; If there is the WiFi area that needs to be located, the information of the WiFi area that needs to be located is reported to the core network centralized management node; The core network centralized management node is configured to: call core network resources to locate the WiFi area that needs to be located; The network node is configured to be responsible for information transmission between the ePDG node, the ePDG edge computing node and the core network centralized management node.

7. The system for identifying base station signal blind spots according to claim 6, characterized in that: The VoWiFi data includes the IP address, IMSI and VoWiFi call records of the user terminal, and one IP address defines one WiFi area; The real-time collection of VoWiFi data includes: When a user terminal accesses the ePDG node, the ePDG node obtains an IP address and an IMSI of the user terminal; When the user terminal initiates a VoWiFi call, the ePDG node records the time of the VoWiFi call.

8. The system for identifying base station signal blind spots according to claim 6, characterized in that: The calling of core network resources to locate the WiFi area that needs to be located includes: Using a base station to locate the location of the user terminal making a VoWiFi call within the WiFi area to be located; or, If there is no base station signal at the location of the user terminal in the WiFi area to be located, the base station is used to locate the user terminal when the user terminal goes online again through the base station.

9. The system for identifying base station signal blind spots according to claim 6, characterized in that: After completing the positioning of the WiFi area that needs to be positioned, the core network centralized management node deletes the positioned WiFi area from the WiFi area list, and the core network centralized management node sends the updated WiFi area list to the ePDG node to collect VoWiFi data of the WiFi area in the WiFi area list.

10. The system for identifying base station signal blind spots according to claim 6, characterized in that: The core network centralized management node is further configured to: send a scanning cycle to the ePDG node and the ePDG edge computing node, send ePDG node management information to the ePDG node, and send algorithm strategy information to the ePDG edge computing node; The ePDG node management information includes: instruction information that the ePDG node needs to perform VoWiFi data collection, and the WiFi area that the ePDG node needs to scan.

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