An indoor 5G network coverage evaluation method and evaluation system

Abstract

The present invention discloses an indoor 5G network coverage evaluation method and evaluation system. Based on mobile network call records, WIFI call records, and user installation information, key information such as the main service of the call record and the strength of neighboring cells is extracted as a data set. An indoor 5G network coverage evaluation system is established through three-layer algorithms of regional-level rough positioning, AP-level fine positioning, and room-level precise positioning, realizing network evaluation of the indoor network and discovery of problem areas, providing a basis for network optimization guidance.

Description

Technical Field

[0001] The present invention belongs to the field of information technology, and particularly relates to an indoor 5G network coverage evaluation method and an evaluation system. Background Art

[0002] With the rapid development of information technology, mobile networks represented by 5G, as an important part of the new information infrastructure, play a key role in the construction of digital networks. Among them, the indoor network coverage, as a key indicator of the mobile communication network, directly affects the usage perception of mobile network users.

[0003] However, the existing indoor network evaluation methods have obvious limitations. Currently, it mainly relies on manual tests such as drive tests (DT) and call quality tests (CQT). These methods not only consume a large amount of manpower and material resources, but also have problems such as long test cycles and lagging data updates. In addition, in some areas such as office places, due to permission restrictions, internal tests are difficult to carry out comprehensively, resulting in test results that cannot truly reflect the actual network perception of users. Summary of the Invention

[0004] The present invention aims to solve at least one of the technical problems existing in the related technologies to some extent.

[0005] One object of the present invention is to provide an indoor 5G network coverage evaluation method. Based on mobile network call records, WIFI call records and user installation information, key information such as the main service of the call record and the strength of neighboring cells is extracted as a data set. An indoor 5G network coverage evaluation system is established through three-layer algorithms of rough positioning, fine positioning and precise positioning, realizing network evaluation of the indoor network and discovery of problem areas, and providing a basis for network optimization guidance.

[0006] Another object of the present invention is to provide an indoor 5G network coverage evaluation system.

[0007] To achieve the above object, on the one hand, the present invention provides an indoor 5G network coverage evaluation method, including:

[0008] Obtaining multi-source data of call record information and user information of the target indoor area;

[0009] Based on the main service PCI and neighboring cell PCI of the core network call record, regional division is carried out, and the call record information of the permanent users in the region is statistically analyzed to obtain the 5G network coverage of the regional level, and the area where the fault occurs is marked;

[0010] For the core network call record and WIFI call record in the area where the fault occurs, splicing processing is carried out through the user number to obtain a data set containing ap Mac. Grouping is carried out according to ap Mac, and the call record information of the permanent users in each group is statistically analyzed to obtain the 5G network coverage of the AP level;

[0011] Using the call record information and user information of important users, statistically analyze the call record information of the offices where important users are located to obtain the 5G network coverage at the office level.

[0012] Output the 5G network coverage at the regional level, AP level, and office level as 5G network coverage indicators, and cyclically update the 5G network coverage indicators.

[0013] In a further preferred technical solution of the present invention, the main service PCI and neighbor PCI based on the core network call record are used for area division, and the call record information of the resident users in the area is statistically analyzed to obtain the 5G network coverage at the regional level, and the area where the fault occurs is marked; specifically including:

[0014] Define the main service PCI as and the first neighbor PCI as and the second neighbor PCI as and the user number threshold as a constant and the th PCI group as and the number of users in each group as then ;

[0015] Remove duplicates from and that is ; After removing duplicates:

[0016] ;

[0017] If the number of users in the > group is

[0018] then select this PCI group as a common area, defined as:

[0019] Define the initial average value of the main service PCI RSRP in the PCI group as and the current average value as ;

[0020] If < -105dBm, then this area is a non-compliant area, denoted as If ≥ 10dB, then this PCI group is the area where the fault occurs, denoted as .

[0021] Preferably, the core network call records and WIFI call records in the fault occurrence area are spliced by the user number to obtain a data set containing the ap Mac. Grouping is performed according to the ap Mac, and the call record information of the resident users in each group is statistically analyzed to obtain the 5G network coverage at the AP level. Specifically:

[0022] Define the user number as , then the 4 / 5G call record is expressed as:

[0023] ;

[0024] where RSRP and RSRQ are the reference signal received power and the reference signal received quality respectively;

[0025] Define the PCI group coverage area as , then the WIFI call record is expressed as:

[0026] ;

[0027] where ap Mac is the MAC information at the AP level;

[0028] The 4 / 5G call record and the WIFI call record are spliced by the user number to obtain the wireless call record containing the MAC information at the AP level:

[0029] ;

[0030] The core network call records in the faulty PCI group are denoted as , and are matched with the corresponding WIFI call record by the number to obtain a data set containing the ap Mac, expressed as:

[0031] ;

[0032] Then group according to the ap Mac to obtain groups , and calculate the average value of RSRP at the ap Mac level ;

[0033] If < -105dBm, the PCI area of this ap Mac address is a non-compliant area, denoted as .

[0034] Preferably, using the call record information and user information of important users, the call record information of the offices where the important users are located is statistically analyzed to obtain the 5G network coverage at the room level. Specifically:

[0035] Define the important user call detail records as the wireless call detail records containing MAC information at the AP level obtained by splicing. , define The total number of RSRP sampling points for the 4 / 5G call detail records in is ; according to the time and the user's office location locate the room-level location of the WIFI call detail records, and then locate the room-level location of the wireless call detail records, and analyze the network metrics and problem points at the room-level location;

[0036] Define the 5G coverage rate , when <95%, the room-level area where the wireless call detail record is located is a non-compliant room area.

[0037] Preferably, output the 5G network coverage of the obtained area level, AP level and room level as a daily report. Use the normal metrics of a week as a sample library. Compare the daily report with the sample library. When the metrics drop significantly and the sample characteristics change, mark it as a problem area at the area level, AP level and room level, and locate the fault point.

[0038] Preferably, the calculation method of the fault point is:

[0039] Define the non-compliance rate as, according to the 5G network coverage of the area level, obtain the first non-compliance rate as:

[0040] ;

[0041] According to the 5G network coverage of the AP level and the 5G network coverage of the room level, obtain the second non-compliance rate as:

[0042] ;

[0043] When the first non-compliance rate or the second non-compliance rate exceeds 15%, it is considered that a fault has occurred at the area level, AP level and room level.

[0044] On the other hand, the present invention provides an indoor 5G network coverage evaluation system, including:

[0045] A data acquisition module for acquiring multi-source data of call detail records and user information of a target indoor area;

[0046] An area-level rough positioning module for dividing areas based on the primary service PCI and neighbor PCI of core network call detail records, statistically analyzing the call detail records of resident users in the area, obtaining the 5G network coverage of the area level, and marking the area where the fault occurs;

[0047] The AP-level fine positioning module is used to splice the core network call records and WIFI call records in the fault occurrence area through the user number to obtain a data set containing the ap Mac, group according to the ap Mac, and statistically analyze the call record information of the resident users in each group to obtain the AP-level 5G network coverage;

[0048] The room-level precise positioning module is used to utilize the call record information and user information of important users to statistically analyze the call record information of the offices where the important users are located to obtain the room-level 5G network coverage;

[0049] The data output module is used to output the area-level 5G network coverage, the AP-level 5G network coverage, and the room-level 5G network coverage as 5G network coverage indicators, and cyclically update the 5G network coverage indicators.

[0050] On the other hand, the present invention provides a non-transitory computer-readable storage medium, on which computer instructions are stored, and the computer instructions cause the computer to execute the above-mentioned indoor 5G network coverage evaluation method.

[0051] On another aspect, the present invention provides an electronic device, including: a processor, a communication interface, a memory, and a communication bus. Among them, the processor, the communication interface, and the memory complete mutual communication through the communication bus, and the processor calls the logical instructions in the memory to execute the above-mentioned indoor 5G network coverage evaluation method.

[0052] On still another aspect, the present invention provides a computer program product, the computer program product includes a computer program, the computer program is stored on a non-transitory computer-readable storage medium, and when the computer program is executed by a processor, the computer executes the above-mentioned indoor 5G network coverage evaluation method.

[0053] Beneficial effects: The indoor 5G network coverage evaluation method and evaluation system of the present invention combine call records to conduct a full-scale statistics and analysis of the in-building distributed network, and it is easier to discover hidden in-building distributed faults.

[0054] Based on the area-level rough positioning algorithm of call records, according to the main serving cell and neighbor cell PCI characteristics extracted from call records, the commercial building is divided into sub-regions, and a common PCI library for each sub-region is established. Combine the test situation to conduct regional three-dimensional positioning and user screening on the common PCI feature library of each sub-region, and use the screened users as resident monitoring users.

[0055] Using the fusion and fine positioning algorithm for mobile network call records and WIFI call records, screen out the problematic indoor distribution sectors according to the performance of the call records, and accurately locate the corresponding poor-quality indoor distribution areas. Then, associate the mobile network call records under the problematic sectors with the WIFI call records, and accurately locate the problematic indoor distribution areas through the WIFI distribution positions.

[0056] Using the accurate positioning algorithm for important user numbers, collect the important customer user numbers and office locations to obtain the sectors where the users are located, and locate the working hours of VIP users according to the call record analysis, which can be used for the guarantee of important customers. Description of the Drawings

[0057] Figure 1 It is a flowchart of the regional-level rough positioning method in Embodiment 1 of the present invention;

[0058] Figure 2 It is a flowchart of the AP-level fine positioning method in Embodiment 1 of the present invention;

[0059] Figure 3 It is a flowchart of the room-level precise positioning method in Embodiment 1 of the present invention. Detailed Embodiments

[0060] To make the objectives, technical solutions, and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below in conjunction with the drawings in the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention, and they should not be construed as limitations on the present invention. Based on the embodiments in the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of the present invention. In the description of the present invention, it should be understood that the terms used are only for the purpose of description and cannot be construed as indicating or implying relative importance.

[0061] Before elaborating on the present invention in detail, some technical terms and abbreviations involved in the present invention are explained and defined.

[0062] PCI (Physical Cell Identities): Physical cell identifier, which is used in mobile communication systems such as LTE and 5G to uniquely identify the physical layer identifier of a cell.

[0063] AP (Access Point): Refers to a wireless access point, which is an access point of a wireless network, commonly known as a "hotspot".

[0064] WIFI: Also known as "mobile hotspot", it is a trademark of Wi-Fi Alliance manufacturers for product brand certification and is a wireless local area network communication technology based on the IEEE 802.11 standard.

[0065] MAC (Media Access Control Address): Physical address, hardware address.

[0066] RSRP (Reference Signal Receiving Power): Reference signal receiving power, which is one of the key parameters representing the wireless signal strength in a wireless network and a physical layer measurement requirement. It is the average value of the signal power received on all RE (resource elements) carrying reference signals within a certain symbol.

[0067] RSRQ (Reference Signal Receiving Quality): Represents the reference signal receiving quality. The metric is mainly used to sort different candidate cells according to signal quality. This measurement is used as an input for handover and cell reselection decisions. It realizes an effective way to report the combined effect of signal strength and interference.

[0068] DT (Drive Test): Road test, which is one of the most commonly used test methods for road wireless signals in the communication industry.

[0069] CQT (Call Quality Test): Spot test, which refers to testing the performance of a wireless data network at a fixed location for road test / call quality test.

[0070] CDR (Call Detail Record): Call detail record, a communication term referring to the original communication record information, also known as the detailed bill.

[0071] VONR (Voice over New Radio): The 5G network provides high-quality voice services.

[0072] The following combines Figures 1 - 3 to describe the indoor 5G network coverage evaluation method and evaluation system provided by the present invention.

[0073] Example 1: This example provides an indoor 5G network coverage evaluation method, including:

[0074] S1. Obtain multi-source data of call detail record information and user information in the target indoor area;

[0075] S2. Select the PCI group as the regional feature according to the serving cell and the PCI of the first and second neighboring cells in the call detail record of the target indoor area, select the area with a larger number of users as the resident area and sort and number it, screen the call detail record information of the resident users in the area for statistics and analysis, and obtain the 5G network coverage situation at the regional level. The process is as Figure 1 shown, specifically including:

[0076] Define the serving cell PCI as , the first neighbor cell PCI is , the second neighbor cell PCI is , the user number threshold is a constant , the th PCI group is , each group has a user number of , then ;

[0077] Deduplicate and , that is ; After deduplication:

[0078] ;

[0079] If the user number of the > group

[0080] , then select this PCI group as the common area, defined as:

[0081] Define the initial average value of the main serving PCI RSRP in the PCI group as , and the current average value is ;

[0082] If < -105dBm, then this area is a non-compliant area, denoted as , if ≥ 10dB, then this PCI group is a fault-occurring area, denoted as .

[0083] S3. For the call records and WIFI call records in the faulty PCI group in step S2, through the user number , perform splicing processing (call records of the same user within 5 minutes) to obtain a dataset containing the ap Mac. Group by ap Mac, and statistically analyze the call record information of the resident users in each group to obtain the 5G network coverage of the AP level; The process is as Figure 2 shown, specifically including:

[0084] Define the user number as , then the 4 / 5G call record is expressed as:

[0085] ;

[0086] Among them, RSRP and RSRQ are the reference signal received power and the reference signal received quality respectively;

[0087] Define the PCI group coverage area as , the WIFI call record is expressed as:

[0088] ;

[0089] Among them ap Mac is the MAC information at the AP level;

[0090] Combine the 4 / 5G call record and the WIFI call record through the user number to obtain the wireless call record containing MAC information at the AP level:

[0091] ;

[0092] Record the core network call record in the fault PCI group as , and match it with the corresponding WIFI call record through the number to obtain the data set containing the ap Mac, expressed as:

[0093] ;

[0094] Then group according to the ap Mac to obtain group , and calculate the average value of RSRP at the ap Mac level ;

[0095] If < -105dBm, the PCI area of this ap Mac address is a non-compliant area, denoted as .

[0096] S4. Use the mobile phones and office addresses of important users to accurately locate the indoor area to the office level. Extract the call records of important users, screen the office hours, splice them with the installed addresses of the users' office locations, and statistically analyze the 5G network coverage at the office level. The method for accurate indoor location is as Figure 3 shown, specifically including:

[0097] Define the call record of important users as the wireless call record containing MAC information at the AP level obtained by splicing , and define the total number of RSRP sampling points in the 4 / 5G call record in as , and the number of sampling points with RSRP > -105dBm as ; According to the time and the indoor

[0098] Define the 5G coverage rate When <95%, the room-level area where the wireless call record is located is a non-compliant room area.

[0099] S5. Output the obtained 5G network coverage at the regional level, AP level, and room level as a daily report. Use the normal indicators for a week as a sample library. Compare the daily report with the sample library. When the indicators drop significantly and the sample characteristics change, mark the problem areas at the regional level, AP level, and room level, and locate the fault points. The calculation method of the fault points is as follows:

[0100] Define the non-compliance rate as follows. According to the 5G network coverage at the regional level, obtain the first non-compliance rate which is:

[0101] ;

[0102] According to the 5G network coverage at the AP level and the 5G network coverage at the room level, obtain the second non-compliance rate which is:

[0103] ;

[0104] When the first non-compliance rate or the second non-compliance rate exceeds 15%, it is considered that a fault has occurred at the regional level, AP level, and room level.

[0105] Apply this method to a large commercial building, which is divided into 13 sub-regions in total. Match the core network call records with the WIFI call records, and analyze the compliance rate of each region. The results are shown in Table 1.

[0106] Table 1 Compliance rate of regions

[0107]

[0108] It can be directly seen from Table 1 that there are a certain number of bad points in sample points 4 / 7 / 13. Combining with the manual test data in Table 2, it is found that the problem points verified by WIFI are basically the same as the problem points found by layer-by-layer testing. For example, for sample point 13 corresponding to the southeast corner of the 3rd floor, through on-site testing, it is found that a new air passage has been built between the 2nd floor and sample point 14, and there is no antenna coverage in this passage, and the RSRP is about -100. New antennas need to be added to solve the problem.

[0109] Table 2 Manual test data

[0110]

[0111] Through the above warning mechanism, a total of 4 abnormal sectors of in-building distribution devices have been found, including 0 equipment alarms and 4 abnormal passive devices.

[0112] According to the monitoring of key users, the results are shown in Table 3. It is found that there is weak coverage in Room 1 and Room 2 of Sampling Point 13. The coverage antenna in Room 1 fails, and there is no antenna coverage inside Room 2, so the indicators need to be further improved.

[0113] Table 3 5G Network Coverage at Room Level

[0114]

[0115] The main method for evaluating and analyzing the indoor distributed network of traditional commercial buildings is through manual testing, which not only consumes a lot of manpower and financial resources, but also may lead to missed or incorrect measurements due to the negligence of testers. The present invention combines call records to conduct a full-scale statistics and analysis of the indoor distributed network of commercial buildings, making it easier to discover hidden indoor distributed faults.

[0116] 1. Reduce the cost of manual testing: It is estimated that there are 19,000 indoor distributed buildings in a certain province, and they are tested twice a year. Calculated based on 4 points tested per person per day, at least 9,000 person-days are required. Calculated at 5,000 yuan per person per month, at least 1.5 million yuan is required annually. Using the method of the present invention can save at least 1.5 million yuan / year.

[0117] 2. Reduce the analysis cost of in-house personnel: On average, each branch company has 2 DT / CQT analysts and 1 third-party management personnel, and there are 3 people in the provincial head office, for a total of 42 people. Based on the method of the present invention, it is estimated that the analysis and personnel management workload of on-site DT / CQT can be reduced by 50%. The provincial company can transfer out 21 network optimization personnel for other work such as VONR optimization and market support.

[0118] 3. Improve the optimization efficiency: More comprehensive problems can be discovered, such as overlapping coverage, MOD3, 5G dropping to 4G, 5G disconnection, etc.; problem location is more accurate, for CQT it can reach the room / floor level, and the problem location is more accurate; it reflects the real perception of users, and all valid users of the local telecommunications 5G can be used as valid test users; quickly evaluate the optimization effect, automatically generate daily reports through database operations, the platform can be downloaded regularly, and optimization personnel can quickly evaluate the optimization effect by observing the daily situation, thus improving the efficiency.

[0119] Embodiment 2: An indoor 5G network coverage evaluation system, comprising:

[0120] A data acquisition module for acquiring multi-source data of call records and user information of a target indoor area;

[0121] A regional-level rough positioning module for dividing regions based on the primary service PCI and neighboring cell PCI of core network call records, statistically analyzing the call record information of resident users in the region, obtaining the 5G network coverage at the regional level, and marking the fault occurrence regions;

[0122] The AP-level fine positioning module is used to splice the core network call records and WIFI call records in the fault occurrence area through the user number to obtain a data set containing the ap Mac, group them according to the ap Mac, and count and analyze the call record information of the resident users in each group to obtain the AP-level 5G network coverage;

[0123] The room-level precise positioning module is used to utilize the call record information and user information of important users to count and analyze the call record information of the office where the important users are located to obtain the room-level 5G network coverage;

[0124] The data output module is used to output the area-level 5G network coverage, AP-level 5G network coverage, and room-level 5G network coverage as 5G network coverage indicators, and circularly update the 5G network coverage indicators.

[0125] Embodiment 3: This embodiment provides a non-transitory computer-readable storage medium, on which computer instructions are stored. The computer instructions cause the computer to execute the indoor 5G network coverage evaluation method, and the method includes the following steps:

[0126] Obtain multi-source data of call record information and user information of the target indoor area;

[0127] Based on the primary service PCI and neighbor cell PCI of the core network call records, perform area division, count and analyze the call record information of the resident users in the area to obtain the area-level 5G network coverage, and mark the fault occurrence area;

[0128] Splice the core network call records and WIFI call records in the fault occurrence area through the user number to obtain a data set containing the ap Mac, group them according to the ap Mac, and count and analyze the call record information of the resident users in each group to obtain the AP-level 5G network coverage;

[0129] Utilize the call record information and user information of important users to count and analyze the call record information of the office where the important users are located to obtain the room-level 5G network coverage;

[0130] Output the area-level 5G network coverage, AP-level 5G network coverage, and room-level 5G network coverage as 5G network coverage indicators, and circularly update the 5G network coverage indicators.

[0131] Embodiment 4: This embodiment provides an electronic device, which may include: a processor, a communications interface, a memory, and a communication bus. Among them, the processor, the communication interface, and the memory complete communication with each other through the communication bus. The processor may call the logical instructions in the memory to execute the indoor 5G network coverage evaluation method, and this method includes the following steps:

[0132] Obtain multi-source data of call detail records and user information of the target indoor area;

[0133] Based on the primary serving PCI and neighbor cell PCI of the core network call detail records, perform area division, count and analyze the call detail records of the permanent users in the area, obtain the 5G network coverage of the area level, and mark the area where the fault occurs;

[0134] Splice the core network call detail records and WIFI call detail records in the area where the fault occurs through the user number to obtain a data set containing the ap Mac, group according to the ap Mac, and count and analyze the call detail records of the permanent users in each group to obtain the 5G network coverage of the AP level;

[0135] Utilize the call detail records and user information of important users to count and analyze the call detail records of the offices where the important users are located to obtain the 5G network coverage of the room level;

[0136] Output the 5G network coverage of the area level, the 5G network coverage of the AP level, and the 5G network coverage of the room level as 5G network coverage indicators, and cyclically update the 5G network coverage indicators.

[0137] In addition, when the logical instructions in the above-mentioned memory can be implemented in the form of software functional units and sold or used as an independent product, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. And the foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.

[0138] Example 5: This example provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the indoor 5G network coverage evaluation method, and the method includes the following steps:

[0139] Obtain multi-source data of call detail records and user information of the target indoor area;

[0140] Based on the primary serving PCI and neighboring cell PCI of the core network call detail records, perform area division, statistically analyze the call detail records of resident users in the area, obtain the 5G network coverage of the area level, and mark the area where faults occur;

[0141] For the core network call detail records and WIFI call detail records in the area where faults occur, splice them by user number to obtain a data set containing ap Mac, group them according to ap Mac, and statistically analyze the call detail records of resident users in each group to obtain the 5G network coverage of the AP level;

[0142] Use the call detail records and user information of important users to statistically analyze the call detail records of the offices where the important users are located to obtain the 5G network coverage of the room level;

[0143] Output the 5G network coverage of the area level, the 5G network coverage of the AP level, and the 5G network coverage of the room level as 5G network coverage indicators, and circularly update the 5G network coverage indicators.

[0144] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this example. Those of ordinary skill in the art can understand and implement it without creative labor.

[0145] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution, in essence, or the part that contributes to the prior art can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disc, etc., and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0146] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features. These modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An indoor 5G network coverage evaluation method, characterized in that, Including: Obtaining multi-source data of call record information and user information of the target indoor area; Based on the primary serving PCI and neighboring cell PCI of core network call records, performing area division, statistically analyzing and analyzing the call record information of permanent users within the area, obtaining the 5G network coverage at the area level, and marking the area where the fault occurs; Specifically including: Define the primary cell PCI as , the first neighbor cell PCI as , the second neighbor cell PCI as , the user number threshold as a constant , the th PCI group as , and the user number of each group as ; Put and to remove duplicates, that is ; After removing duplicates: ； If the number of users in the group > , then select this PCI group as the common area and define it as: ； Define the initial average value of the primary serving PCI RSRP in the PCI group as , and the current average value is ; If < -105 dBm, then this area is a non-compliant area, denoted as , if | - | ≥ 10 dB, then this PCI group is the area where a fault occurs, denoted as ; For the core network call records and WIFI call records in the area where the fault occurs, splicing them through the user number to obtain a data set containing ap Mac, grouping according to ap Mac, and statistically analyzing and analyzing the call record information of permanent users in each group to obtain the 5G network coverage at the AP level; specifically: Define the user number as , then the 4 / 5G call record is expressed as: ； Where RSRP and RSRQ are the reference signal received power and the reference signal received quality respectively; Define the PCI group coverage area as , then the WIFI call record is expressed as: ； Where ap Mac is the MAC information at the AP level; Combine 4 / 5G call records and WIFI call records by the user number to splice to obtain wireless call records containing MAC information at the AP level: ； Record the core network call records in the faulty PCI group as , and match them with the corresponding WIFI call records through the number to obtain a data set containing the ap Mac, expressed as: ； Group again according to the ap Mac to obtain group , and calculate the average RSRP value at the ap Mac level ; If <-105 dBm, the PCI area of the AP MAC address is a non-compliant area, denoted as ; Using the call record information and user information of important users, statistically analyzing and analyzing the call record information of the office where the important users are located to obtain the 5G network coverage at the room level; specifically: Define the important user call detail records as the wireless call detail records containing MAC information at the AP level obtained by splicing , define The total number of RSRP sampling points of the 4 / 5G call detail records in is, and the number of sampling points with RSRP > -105 dBm is ; According to the time and the user's office location locate the room-level location of the WIFI call detail records, and then locate the room-level location of the wireless call detail records, and analyze the indicators and problem points of the network at this room-level location; Define the 5G coverage rate , when <95%, the room-level area where the wireless call record is located is a non-compliant room area; Taking the 5G network coverage at the area level, the 5G network coverage at the AP level, and the 5G network coverage at the room level as 5G network coverage indicators for output, and cyclically updating the 5G network coverage indicators.

2. The indoor 5G network coverage evaluation method according to claim 1, characterized in that Taking the obtained 5G network coverage at the area level, the AP level, and the room level as a daily report for output, using the normal indicators of a week as a sample library, comparing the daily report with the sample library, when the indicators drop significantly and the sample characteristics change, marking the problem areas at the area level, the AP level, and the room level, and locating the fault points.

3. The indoor 5G network coverage evaluation method according to claim 2, wherein The calculation method of the said fault point is: Define the non-compliance rate as the first non-compliance rate obtained according to the 5G network coverage at the regional level It is: ； Based on the coverage of the AP-level 5G network and the in-room 5G network, the second non-compliance rate is obtained It is: ； When the first non-compliance rate or the second non-compliance rate exceeds 15%, it is considered that a fault occurs at the area level, the AP level, and the room level.

4. An indoor 5G network coverage evaluation system, characterized in that, Including: A data acquisition module for obtaining multi-source data of call record information and user information of the target indoor area; An area-level rough positioning module for performing area division based on the primary serving PCI and neighboring cell PCI of core network call records, statistically analyzing and analyzing the call record information of permanent users within the area, obtaining the 5G network coverage at the area level, and marking the area where the fault occurs; Specifically including: Define the primary serving PCI as , the first neighbor PCI as , the second neighbor PCI as , the user number threshold as a constant , the th PCI group as , and the user number of each group as ; Remove and duplicates, i.e., ; After removing duplicates: ； If the number of users in the group > , then select this PCI group as the common area and define it as: ； Define the initial average value of the primary serving PCI RSRP in the PCI group as , and the current average value is ; If < -105 dBm, then this area is a non-compliant area, denoted as , if | - | ≥ 10 dB, then this PCI group is the area where a fault occurs, denoted as ; An AP-level fine positioning module for splicing the core network call records and WIFI call records in the area where the fault occurs through the user number to obtain a data set containing ap Mac, grouping according to ap Mac, and statistically analyzing and analyzing the call record information of permanent users in each group to obtain the 5G network coverage at the AP level; specifically: Define the user number as , then the 4 / 5G call record is expressed as: ； Where RSRP and RSRQ are the reference signal received power and the reference signal received quality respectively; Define the PCI group coverage area as , then the WIFI call record is expressed as: ； Where ap Mac is the MAC information at the AP level; Combine 4 / 5G call records and WIFI call records by user number to splice and obtain wireless call records containing MAC information at the AP level: ； Record the core network call records in the faulty PCI group as , and match them with the corresponding WIFI call records through the number to obtain a data set containing the ap Mac, expressed as: ； Group them again according to the AP MAC to obtain group , and calculate the average RSRP at the AP MAC level ; If <-105 dBm, the PCI area of the AP MAC address is a non-compliant area, denoted as ; A room-level precise positioning module for using the call record information and user information of important users, statistically analyzing and analyzing the call record information of the office where the important users are located to obtain the 5G network coverage at the room level; specifically: Define the important user call detail records as the wireless call detail records containing MAC information at the AP level obtained by splicing , define The total number of RSRP sampling points in the 4 / 5G call detail records in , and the number of sampling points with RSRP > -105 dBm is ; According to the time and the user's office location Locate the room-level location of the WIFI call detail records, and then locate the room-level location of the wireless call detail records, and analyze the indicators and problem points of the network at this room-level location; Define the 5G coverage rate When < 95%, the room-level area where the wireless call record is located is a non-compliant room area; A data output module for taking the 5G network coverage at the area level, the 5G network coverage at the AP level, and the 5G network coverage at the room level as 5G network coverage indicators for output, and cyclically updating the 5G network coverage indicators.

5. A non-transitory computer-readable storage medium, characterized in that, It stores computer instructions that cause a computer to execute the indoor 5G network coverage evaluation method described in any one of claims 1-3.

6. An electronic device, characterized in that, It includes: A processor, a communication interface, a memory, and a communication bus. Among them, the processor, the communication interface, and the memory complete communication with each other through the communication bus. The processor calls the logical instructions in the memory to execute the indoor 5G network coverage evaluation method described in any one of claims 1-3.

7. A computer program product, characterized in that, The computer program product includes a computer program stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer executes the indoor 5G network coverage evaluation method described in any one of claims 1-3.

Images