Method and device for locating faults in multi-network combining device

Abstract

The invention discloses a method and equipment for locating faults in multi-network combining equipment. The method comprises the following steps: configuring different-frequency frequency point measurement for user equipment of a specified service cell; starting periodic different-frequency frequency point measurement so as to indicate user equipment in the service cell to execute the periodic different-frequency frequency point measurement according to the configured different-frequency frequency point measurement; receiving a pilot frequency measurement report of periodic pilot frequency point measurement from the user equipment, wherein the pilot frequency measurement report comprises a pilot frequency point number, a service cell reference signal receiving power and a pilot frequency point reference signal receiving power; and based on the pilot frequency measurement report, determining whether a multi-network access point equipment port corresponding to each pilot frequency point in the multi-network combining equipment has a fault or not.

Description

Technical Field

[0001] The present application relates to a mobile communication network, and more specifically to a method and device for locating faults in a multi-network combining device based on heterodyne frequency measurement and AI (Artificial Intelligence) algorithm. Background Art

[0002] Mobile communication networks are built by various operators through multiple standards and multiple frequency bands to provide wireless signal coverage for their corresponding contracted user equipment (UE: User Equipment). Providing wireless signal coverage for densely populated places such as subways, shopping malls, and large venues will involve a variety of network planning and optimization issues, such as limited space for indoor distribution system construction, strong interference between systems, and frequent switching due to poor coverage of multiple systems. For such network planning and optimization issues, the industry has provided a POI (Point of interface: multiple network access points) networking device for multi-operator network combining. The POI networking device supports ultra-wideband combining technology, which can realize the combining of multi-operator multi-standard multi-band network signals, so that multiple networks of different operators can share the antenna feed system to provide wireless signal coverage. The POI combining technology has been widely used in various indoor coverage scenarios with high business demand, and has the characteristics of flexible network construction and low investment in distributed system construction.

[0003] Since the POI combining technology is introduced to combine the multi-standard and multi-band networks of different operators, equipment failures in the multi-network combining equipment, such as hardware connection failures and POI electrical performance, will have a significant impact on the antenna port output power of the distributed antenna feed system.

[0004] At present, for the weak network coverage caused by faults in such multi-network combining equipment, it is generally located through on-site troubleshooting by maintenance personnel, on-site coverage testing, network performance indicator analysis, and receiving complaints from users in the corresponding area. Such fault location methods have limited positioning accuracy, require maintenance personnel to work on-site, and have a long fault location cycle. At the same time, since multi-network combining equipment involves multiple networks of different operators, it is necessary to configure test terminals that support all network frequency bands and standards of all operators during on-site testing, and the cost of obtaining test data is high. Summary of the invention

[0005] In order to solve or at least alleviate one or more of the aforementioned problems, the following technical solutions are provided.

[0006] According to the first aspect of the present application, a method for locating a fault in a multi-network combining device is provided. The method includes: configuring inter-frequency point measurement for a user equipment of a designated service cell; starting periodic inter-frequency point measurement to instruct the user equipment in the service cell to perform periodic inter-frequency point measurement according to the configured inter-frequency point measurement; receiving an inter-frequency measurement report of the periodic inter-frequency point measurement from the user equipment, wherein the inter-frequency measurement report includes an inter-frequency point number, a service cell reference signal received power, and an inter-frequency point reference signal received power; and determining whether a multi-network access point device port corresponding to each inter-frequency point in the multi-network combining device fails based on the inter-frequency measurement report.

[0007] According to the second aspect of the present application, a network node in a mobile communication network is provided. The network node includes: a measurement configuration unit, configured to configure inter-frequency point measurement for a user equipment of a designated service cell; a measurement start unit, configured to start periodic inter-frequency point measurement to instruct the user equipment in the service cell to perform periodic inter-frequency point measurement according to the configured inter-frequency point measurement; a measurement receiving unit, configured to receive an inter-frequency measurement report of periodic inter-frequency point measurement from the user equipment, wherein the inter-frequency measurement report includes an inter-frequency point number, a service cell reference signal received power, and an inter-frequency point reference signal received power; and a fault location unit, configured to determine whether a multi-network access point device port corresponding to each inter-frequency point in a multi-network combining device fails based on the inter-frequency measurement report.

[0008] According to a third aspect of the present application, a network node in a mobile communication network is provided. The network node includes a processor, wherein the processor can be configured to perform various operations according to the method of the present application. Alternatively, the network node may also include a memory storing computer executable instructions, wherein the instructions configure the network node to perform various operations according to the method of the present application when executed by the processor.

[0009] According to a fourth aspect of the present application, a device in a network node of a mobile communication network is provided. The device may include one or more components for performing various operations of the method according to the present application.

[0010] According to a fifth aspect of the present application, a computer-readable storage medium storing computer-executable instructions is provided, wherein these instructions, when executed by a processor, perform various operations according to the method of the present application.

[0011] According to a sixth aspect of the present application, a computer program product storing computer executable instructions is provided, wherein the instructions, when executed by a processor, perform various operations according to the method of the present application.

[0012] By starting the heterofrequency measurement of different standards and different networks involved in the POI combining device with the service cell as the fault location unit, the present application can obtain the downlink receiving power of the reference signal of the service cell and the measured heterofrequency cell from the user equipment, and calculate the average receiving power difference between the networks in the normal operation of the POI combining device based on this, and locate the fault in the multi-network combining device by isolating the sample points and detecting the abnormal value of the average receiving power difference between the main and neighboring cells by using the isolation forest algorithm (iForest: IsolationForest). The present application can locate the POI fault by obtaining the power changes of each operator network involved in the POI combining device from the user equipment while avoiding a large number of field tests, especially avoiding field tests on other operators' networks, thereby providing operators with efficient multi-network combining equipment fault troubleshooting and location. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] The above and / or other aspects and advantages of the present application will become clearer and easier to understand through the various aspects described below in conjunction with the accompanying drawings, in which the same or similar units are represented by the same reference numerals. In the accompanying drawings:

[0014] Figure 1 is a schematic diagram of a mobile communication network involving a multi-network combining device according to an embodiment of the present application;

[0015] Figure 2 This is a schematic diagram of a multi-network combining device networking according to an embodiment of the present application;

[0016] Figure 3 is a flow chart of a method for locating a fault in a multi-network combining device according to an embodiment of the present application;

[0017] Figure 4 is a schematic diagram of the structure of a network node according to an embodiment of the present application;

[0018] Figure 5 is a schematic diagram of a network node according to another embodiment of the present application; and

[0019] Figure 6 It is a schematic diagram according to an embodiment of the present application, which shows an exemplary situation in which the isolation forest algorithm is used to isolate the average value of the difference in received power of t primary neighbor cells of an hetero-frequency point in time sequence as a normal value or an abnormal value. DETAILED DESCRIPTION

[0020] The description of the following specific embodiments is merely exemplary in nature and is not intended to limit the disclosed technology or the application and use of the disclosed technology. In addition, it is not intended to be bound by any express or implied theory presented in the aforementioned technical field, background technology or the following specific embodiments.

[0021] In the following detailed description of preferred embodiments, many specific details are set forth in order to provide a more thorough understanding of the disclosed technology. However, it is apparent to one of ordinary skill in the art that the disclosed technology can be practiced without these specific details. In other examples, well-known features are not described in detail to avoid unnecessarily complicating the description.

[0022] Phrases such as "comprising" and "including" indicate that in addition to the units and steps directly and clearly stated in the specification, the technical solution of the present application does not exclude the situation of having other units and steps that are not directly or clearly stated. In addition, unless otherwise explicitly stated, the terms "first", "second", "third", etc. are intended to distinguish the specific nouns (e.g., elements, regions, modules, activities, operations, etc.) they modify, but are not intended to indicate any type of order, level, importance, time series or hierarchy of the modified nouns. For example, "first x" and "second x" are intended to represent two independent x elements, which are not necessarily subject to any order, level, importance, time series or hierarchy of the two elements.

[0023] Hereinafter, various exemplary embodiments of the present application will be described in detail with reference to the accompanying drawings.

[0024] Figure 1 1 is a schematic diagram of a mobile communication network 100 involving a multi-network combining device according to an embodiment of the present application. As shown in the figure, the mobile communication network 100 involves multiple operators, such as operator A, operator B, etc. These operators can provide corresponding wireless signal coverage for their respective subscriber devices, such as UE 108A and UE 110A, UE 108B and UE 110B, etc. in the same area. In an example, a network node 102 belonging to operator A provides various mobile communication services for its subscriber devices 108A and 110A via its base station device 104 and distributed antenna feed system 112, wherein the network node 102 can be the operation and management center (OMC: Operation and Management Center) of operator A, and the base station device 104 belonging to operator A can include one or more of a baseband function module and a radio frequency RF function module. Similarly, another network node 102 belonging to operator B can provide corresponding mobile communication services for its subscriber devices 108B and 110B via its corresponding base station device 104 and distributed antenna feed system 112.

[0025] Providing wireless signal coverage for densely populated places such as subways, shopping malls, and large venues may bring some network planning and optimization problems, such as limited space for indoor distributed system construction, strong interference between systems, and frequent switching due to poor coverage of multiple systems. To this end, a multi-network combining device 106 can be set between the distributed antenna feed system 112 and the base station equipment 104 of each operator to introduce POI combining technology to combine multiple standard multi-band networks of different operators, so that multiple networks of different operators can share the distributed antenna feed system 112 to provide wireless signal coverage to their corresponding contracted user devices. As a POI networking device for multi-network combining, the multi-network combining device 106 can support ultra-wideband combining technology and realize the combining of multi-standard multi-band network signals of multiple operators.

[0026] Figure 2 The schematic diagram of a multi-network combining device network based on the multi-network combining device 106 is further shown. As shown in the figure, for example, the signal source devices of each operator of operator A, operator B and operator C, such as Figure 1 The base station device 104 shown in the figure is connected to the multi-network combining device 106 via corresponding feeders and access ports, wherein each frequency band belonging to each operator, such as band 1, band 2, band 3, ..., band N, has a corresponding POI device port, and each POI device port may involve part or all of the path between the input of the multi-network combining device 106 connected to the operator's source equipment and the output connected to the distributed antenna feed system 112.

[0027] Since the POI combining technology is introduced to combine the multi-standard and multi-band networks of different operators, equipment failures such as hardware connection failures and POI electrical performance in the multi-network combining equipment will have a significant impact on the antenna port output power of the distributed antenna feed system 112. At present, for the weak network coverage caused by faults in such multi-network combining equipment, it is generally located by on-site troubleshooting by maintenance personnel, on-site coverage testing, network performance indicator analysis, and receiving complaints from users in the corresponding area. Such fault location methods have limited positioning accuracy, require on-site maintenance personnel to work, and have a long fault location cycle. At the same time, since the multi-network combining equipment 106 involves multiple networks of different operators, it is necessary to configure a test terminal that supports all network frequency bands and standards of all operators in the field test, and the cost of obtaining test data is high. .

[0028] The present application recognizes that since there is a one-to-one correspondence between each frequency band or frequency point belonging to the operator and each POI device port of the multi-network combining device 106, the operating status of each POI device port is associated with the wireless signal coverage status of the corresponding frequency band. Therefore, the operating status of the POI device port corresponding to the frequency band or frequency point in the multi-network combining device 106 can be determined by analyzing the measurement report of the relevant reference signal power involving each frequency band or frequency point reported by the user device, thereby determining the corresponding POI device port that has failed.

[0029] Figure 3 The flowchart of a method 300 for locating a fault in a multi-network combining device according to an embodiment of the present application is shown. The method 300 may be executed by a network node 102 of operator A.

[0030] In step S310, the network node 102 configures inter-frequency point measurement for the user equipment belonging to the service cell of operator A. The configured inter-frequency point measurement complies with the measurement configuration requirements of the relevant communication standards, such as the 5G network MR (MeasureReport: measurement report) collection specification, and may include one or more of the inter-frequency band or frequency point to be measured, the measurement execution period, the data content and format requirements of the measurement report, etc., wherein the measurement execution period is determined by operator A according to engineering requirements. The inter-frequency points involved in the configured inter-frequency point measurement may include the carrier frequencies of other cells other than the carrier frequency of the designated service cell of operator A, including the carrier frequencies of cells belonging to operator A in the neighboring cells relative to the designated service cell and / or the carrier frequencies of cells belonging to other operators (such as operator B and / or operator C) in the area. These other cells may be collectively referred to as neighboring cells hereinafter.

[0031] In one example, inter-frequency point measurement is configured for a user equipment in a 5G network service cell. There are two common ways to collect measurement report sample data for 5G networks, namely periodic measurement and event-based measurement. Event-based measurement is usually used for conventional measurements of user equipment mobile switching. In order to achieve the calculation requirements of fault location in a multi-network combining device, the network node 102 configures inter-frequency point measurement as a periodic measurement for a user equipment in a mobile communication network 100 involving a multi-network combining device 106.

[0032] Therefore, in step S320, the network node 102 starts the periodic inter-frequency measurement to instruct the user equipment in the serving cell to perform the periodic inter-frequency measurement according to the configured inter-frequency measurement.

[0033] In one example, the network node 102 may initiate periodic inter-frequency measurement by transmitting a measurement control message to a user equipment in a serving cell, wherein the transmitted measurement control message may also include configured inter-frequency measurement.

[0034] When starting periodic inter-frequency point measurement, the measurement report script is started for the 5G service cell to configure the network frequencies of all operators feeding into the system in the POI multi-network combining device, so that after the user equipment in the corresponding cell performs periodic inter-frequency point measurement according to the configured inter-frequency point measurement, the cell-level measurement report results are obtained from these user equipment, and then the difference in received power RSRP between the service cell and other network cells (i.e., neighboring cells) is calculated based on the measurement results to locate faults in the multi-network combining device.

[0035] In response to receiving the inter-frequency point measurement configured by the network node 102 of operator A, the user equipment belonging to operator A in the designated service cell may perform corresponding periodic inter-frequency point measurement according to the configured inter-frequency point measurement, including measuring the reference signal received power of the carrier frequency of the service cell and the reference signal received power of each inter-frequency point of the neighboring cell. Then, based on the measured reference signal received power of the carrier frequency of the service cell and the reference signal received power of each inter-frequency point, as well as the physical cell identity (PCI: Physical Cell Identity) of the service cell and / or the physical cell identity of each neighboring cell, each user equipment belonging to operator A prepares a corresponding measurement report for reporting to the network node 102, wherein the PCI may be composed of a primary and secondary synchronization sequence and may be reused in the network.

[0036] In step S330, the network node 102 receives an inter-frequency measurement report of periodic inter-frequency point measurement from the user equipment.

[0037] In one example, if inter-frequency frequency point measurement is configured by the network node 102 of operator A according to the 5G network MR acquisition specification, and the user equipment within the designated service cell of operator A performs periodic inter-frequency frequency point measurement according to the configured inter-frequency frequency point measurement, then the measurement report received by the network node 102 from the user equipment may include one or more of the cell identification information and reception level of the 5G network NR (New Radio) service cell information, NR neighbor cells, and LTE (Long Term Evolution) neighbor cells of operator A, wherein the NR neighbor cells and LTE neighbor cells involve the network of this operator (ie, operator A) and / or other operators (such as operator B and / or operator C), and may include defined neighbor cells and / or undefined neighbor cells of the NR service cell.

[0038] Table 1 lists the relevant indicators and their meanings involved in the exemplary inter-frequency point measurement report.

[0039]

[0040] Table 1

[0041] In one example, the inter-frequency measurement report reported by the user equipment may include the inter-frequency frequency point number, the reference signal received power of the serving cell, and the inter-frequency frequency point reference signal received power of the neighboring cell. In another example, the inter-frequency measurement report reported by the user equipment may also additionally include the serving cell physical cell identification code, the serving cell carrier frequency point number, and the neighboring cell physical cell identification code corresponding to the inter-frequency frequency point number. The network node 102 may combine the serving cell physical cell identification code and the serving cell carrier frequency point number as the unique identifier of the serving cell, and may also combine the inter-frequency frequency point number and the corresponding neighboring cell physical cell identification code as the unique identifier of the corresponding neighboring cell.

[0042] In one example, the network node 102 may extract "MR.NRScPci" and "MR.NRScArfcn" from the NR network measurement report, the former representing the physical cell identification code of the UE serving cell, and the latter representing the carrier frequency number of the UE serving cell. The network node 102 may combine the above two indicators extracted as the unique identifier of the NR serving cell. Similarly, the network node 102 may extract "MR.NRNcPci" and "MR.NRNcArfcn" from the NR network measurement report, the former representing the physical cell identification code of the NR neighboring cell, and the latter representing the carrier frequency number of the NR neighboring cell, and the network node 102 may combine the above two indicators extracted as the unique identifier of the NR neighboring cell. The network node 102 may also extract "MR.LteNcPci" and "MR.LteNcEarfcn" from the NR network measurement report, the former representing the physical cell identification code of the LTE neighboring cell, and the latter representing the carrier frequency number of the LTE neighboring cell, and the network node 102 may combine the above two indicators extracted as the unique identifier of the NR neighboring cell.

[0043] By combining the serving cell carrier frequency point number with the serving cell physical cell identification code to uniquely identify the designated serving cell, the reporting data related to the unnecessary serving cells (i.e., other serving cells belonging to operator A) other than the designated serving cell can be filtered out when the serving cell is used as the fault location / elimination unit. Similarly, by combining the different frequency point number with the corresponding neighboring cell physical cell identification code to uniquely identify the corresponding neighboring cell relative to the designated serving cell, the reporting data related to the unnecessary neighboring cells other than the corresponding neighboring cells can be filtered out.

[0044] In one example, MR.NRScSSRSRP in the measurement report reported by the user equipment is the NR service cell received power ScRSRP, and MR.NRNcSSRSRP and MR.LteNcRSRP in the measurement report are the NR / LTE neighbor cell received power NcRSRP. If the NR and LTE neighbor cells of the service cell A in the mobile communication network involving the POI multi-network combining device are, for example, cell B, cell C, ..., cell N, then the network node 102 can obtain a sample data set with a total number of m sampling points related to its corresponding inter-frequency point (i.e., its corresponding NR network neighbor and LTE network neighbor) from the user equipment of the service cell within a certain period of time after starting the periodic inter-frequency point measurement of the service cell A.

[0045] Table 2 shows an exemplary sample data set including corresponding measurement indicators and measurement data with a total number of sampling points m.

[0046] Sample No. S_Cell N_Cell ScRSRP NcRSRP 1 <![CDATA[CELL A ]]> <![CDATA[CELL B ]]> <![CDATA[ScRSRP1]]> <![CDATA[NcRSRP1]]> 2 <![CDATA[CELL A ]]> <![CDATA[CELL B ]]> <![CDATA[ScRSRP2]]> <![CDATA[NcRSRP2]]> 3 <![CDATA[CELL A ]]> <![CDATA[CELL C ]]> <![CDATA[ScRSRP3]]> <![CDATA[NcRSRP3]]> 4 <![CDATA[CELL A ]]> <![CDATA[CELL C ]]> <![CDATA[ScRSRP4]]> <![CDATA[NcRSRP4]]> … … … … … m <![CDATA[CELL A ]]> <![CDATA[CELL N ]]> <![CDATA[ScRSRP m ]]> <![CDATA[NcRSRP m ]]>

[0047] Table 2

[0048] In the exemplary sample data set including m sampling points shown in Table 2, sample data 1 may represent the reference signal received power of the serving cell and the reference signal received power of the neighboring cell B reported by the first user equipment in the serving cell A, and sample data 2 may represent the reference signal received power of the serving cell and the reference signal received power of the neighboring cell B reported by the second user equipment in the serving cell A or reported by the first user equipment related to sample data 1 at different times and / or different locations. Similarly, sample data 3 may represent the reference signal received power of the serving cell and the reference signal received power of the neighboring cell C reported by one user equipment in the serving cell A, and sample data 4 may represent the reference signal received power of the serving cell and the reference signal received power of the neighboring cell C reported by another user equipment in the serving cell A or reported by the user equipment related to sample data 3 at different times and / or different locations.

[0049] In step 340, the network node 102 may determine whether a failure occurs in a multi-network access point device port corresponding to each inter-frequency point in the multi-network combining device 106 based on the inter-frequency measurement report from the user equipment.

[0050] To this end, for each inter-frequency point, the network node 106 can calculate the average value of the primary neighbor cell received power difference by calculating the average of the differences between multiple serving cell reference signal received powers and the corresponding multiple inter-frequency point reference signal received powers of the inter-frequency point.

[0051] If there are n sample data involving neighboring cell B in the sample data set of m sampling points, then the average value X of the difference in primary neighboring cell received power between serving cell A and neighboring cell B is calculated based on the serving cell reference signal received power and neighboring cell reference signal received power in these n sample data. B for:

[0052]

[0053] Similarly, according to the corresponding sample data of each other neighboring area (such as neighboring area C, neighboring area D, ..., neighboring area N) in the sample data set of m sampling points, the average value X of the difference in the main neighboring cell receiving power between the serving cell A and each other neighboring area is calculated. C , X D , …, X N .

[0054] In one example, the NcRSRP in the above formula may include LTE network neighboring cells and / or NR network neighboring cells according to the heterofrequency network frequency. If the number of heterofrequency network frequencies in the multi-network combining device is N, then for the service cell A in the mobile communication network involving the multi-network combining device, the average value of the difference in received power of the N main neighboring cells can be calculated, that is, the average value of the difference in received power of the main neighboring cells of each neighboring cell in the mobile communication network is X1-X N This value indicates the difference in downlink reference signal received power between the serving cell and each frequency neighboring cell in the measurement report.

[0055] In order to determine whether the multi-network access point device ports corresponding to each heterodyne frequency point are faulty, the network node 102 may use an artificial intelligence AI algorithm, such as an isolation forest algorithm, to separate each value in the calculated average values ​​of the received power differences of the N primary neighbor cells into a normal value or an abnormal value.

[0056] The Isolation Forest algorithm is an outlier anomaly detection method with the characteristics of linear time complexity and high accuracy, so it is suitable for anomaly detection of continuous data. Unlike other anomaly detection algorithms that use quantitative indicators such as distance and density to characterize the degree of alienation between samples, the Isolation Forest algorithm detects outliers by isolating sample points. The algorithm uses a binary search tree structure called Isolation Tree (iTree: IsolationTree) to isolate samples. Due to the small number of outliers and their alienation from most samples, outliers will be isolated earlier, that is, outliers will be closer to the root node of iTree, while normal values ​​will be farther away from the root node. iForest can be composed of t iTree isolation trees, each iTree is a binary tree structure. The algorithm can be divided into two stages: the first stage trains t isolation trees to form an isolation forest; the second stage brings each sample point into each isolation tree in the forest, calculates the average height, and then calculates the outlier score of each sample point. The calculation of the isolation forest anomaly score s(x,n) is:

[0057]

[0058] in:

[0059] E(h(x)) is the mean path length of sample x in t iTrees, c(n) is the average path length of n samples to construct a BST (Binary Search Tree) binary tree, which is a normalized constant and depends on the size of the data set n. Its calculation formula is as follows:

[0060]

[0061] Among them, 0.5772156649 is the Euler constant.

[0062] E(h(x)) is the average value of the path length h(x) from the root node to the external node x, and c(n) is the average value of h(x) for a given n. The exponential part of s(x,n) has a range of (-∞,0), so the range of s is (0,1). The smaller the path length, the closer s is to 1, and the greater the probability that the sample is an outlier.

[0063] The network node 102 can detect the abnormal situation of the average value of the difference in received power between the primary and neighboring cells in time series for each hetero-frequency point by using the isolation forest algorithm. The network node 102 can collect multiple measurement report data in time series, and the calculation method of applying the isolation forest algorithm can be: 1. The average value X of the difference in received power between the primary and neighboring cells in time sequence t times corresponds to h(x) in the isolation forest algorithm; 2. The number of times the average value of the difference in received power between the primary and neighboring cells is obtained is the c(n) data set in the isolation forest algorithm.

[0064] In the process of executing the isolation forest algorithm, first, for each outlier frequency point, it is set that the outlier usually has a shorter isolation path in the data set, and the outlier is easier to be isolated than the normal point, that is, the score of the outlier will be close to 1, and the score far less than 0.5 represents a normal observation result. If all scores are close to 0.5, the network node 102 can determine that all samples involving the outlier frequency point have no significantly different outliers.

[0065] The present application adopts the isolation forest algorithm to separate the normal value or abnormal value of the average value X of the difference in received power between the primary and adjacent cells of each hetero-frequency point. Figure 6 The schematic diagram in FIG. 1 shows an exemplary case in which the isolation forest algorithm is used to isolate the average values ​​of the received power differences of t primary neighbor cells at an hetero-frequency point in chronological order as normal values ​​or abnormal values.

[0066] like Figure 6 As shown in , the measurement report data is collected in a linear time series to obtain the average value of the difference in received power between the primary and adjacent cells X. When the average value of the received power difference data at time t' is calculated by the isolation Mori algorithm to obtain an abnormal score s(x,n) close to 1, it is determined that the value at time t' is an abnormal value, and the average value of the difference in received power between the primary and adjacent cells collected at this time point X t′ The multiple K higher than the normal median value of X is the judgment threshold. Since the port failure in the multi-network combining device is generally manifested as a persistent hardware failure, if the average value of the received power difference calculated from the hetero-frequency neighboring frequency point N measurement report data collected from the service cell of the mobile communication network involving the multi-network combining device is continuously higher than K times the normal median value of X, it is judged that the POI device port corresponding to the neighboring frequency point is faulty.

[0067] Therefore, the network node 102 can use the average values ​​of the received power differences of the primary and neighboring cells in chronological order and the number of times the average values ​​of the received power differences of the primary and neighboring cells are obtained as inputs h(x) and c(n), and calculate the isolation forest anomaly score s(x,n) as output according to the above isolation forest anomaly score formula. The network node 102 can also separate the average value of the received power difference of each primary and neighboring cell into a normal value or an abnormal value based on the calculated isolation anomaly score, and when the average value of the received power difference of the primary and neighboring cells at a certain heterogeneous frequency point is continuously higher than K times the median value of the normal difference average value, it is determined that the multi-network access point device port corresponding to the heterogeneous frequency point has a fault, wherein the parameter K can be set to, for example, 2.0 or more according to engineering requirements.

[0068] Figure 44 is a schematic diagram of the structure of a network node 102 according to an embodiment of the present application. The network node 102 may include a measurement configuration unit 402, a measurement initiation unit 404, a measurement receiving unit 406, and a fault location unit 408. These units cooperate with each other to enable the network node 102 to locate faults in a multi-network combining device.

[0069] The measurement configuration unit 402 may configure inter-frequency point measurement for the user equipment of the designated serving cell, which is similar to or the same as the operation of configuring inter-frequency point measurement described above.

[0070] The measurement configuration unit 402 configures inter-frequency point measurement for the user equipment belonging to the service cell of operator A. The configured inter-frequency point measurement complies with the measurement configuration requirements of the relevant communication standards, such as the 5G network MR (Measure Report) acquisition specification, and may include one or more of the inter-frequency band or frequency point to be measured, the measurement execution period, the data content and format requirements of the measurement report, etc., wherein the measurement execution period is determined by operator A according to engineering requirements. The inter-frequency points involved in the configured inter-frequency point measurement may include the carrier frequencies of other service cells (also called neighboring cells) other than the carrier frequency of the designated service cell of operator A, including the cell carrier frequencies of the neighboring cells of operator A relative to the designated service cell and / or the cell carrier frequencies of other operators (such as operator B and / or operator C) in the area.

[0071] In one example, the measurement configuration unit 402 configures inter-frequency point measurement for a user equipment in a 5G network service cell. To achieve the computational requirements for fault location in a multi-network combining device, the measurement configuration unit 402 configures inter-frequency point measurement as a periodic measurement for a user equipment in a designated service cell in a mobile communication network 100 involving a multi-network combining device.

[0072] The measurement starting unit 404 is used to start periodic inter-frequency measurement to instruct the user equipment in the serving cell to perform periodic inter-frequency measurement according to the configured inter-frequency measurement, which is similar to or the same as the operation of starting periodic inter-frequency measurement described above.

[0073] In an example, the measurement initiating unit 404 may initiate the periodic inter-frequency measurement by transmitting a measurement control message to the user equipment in the serving cell, wherein the transmitted measurement control message may also include the configured inter-frequency measurement.

[0074] When starting periodic inter-frequency point measurement, the measurement report script is started for the 5G service cell to configure the network frequencies of all operators feeding into the system in the POI multi-network combining device, so that after the user equipment in the corresponding cell performs periodic inter-frequency point measurement according to the configured inter-frequency point measurement, the cell-level measurement report results are obtained from these user equipment, and then the difference in received power RSRP between the service cell and other network cells is calculated based on the measurement results to locate the fault in the multi-network combining device.

[0075] In response to receiving the inter-frequency point measurement configured by the measurement configuration unit 402, the user equipment in the designated service cell can perform corresponding periodic inter-frequency point measurement according to the configured inter-frequency point measurement, including measuring the reference signal received power of the carrier frequency point of the service cell and the reference signal received power of each inter-frequency point. Then, based on the measured reference signal received power of the carrier frequency point of the service cell and the reference signal received power of each inter-frequency point of the neighboring cell, as well as the physical cell identification code of the service cell and / or the physical cell identification code of each neighboring cell, the user equipment prepares a corresponding measurement report for reporting to the network node 102.

[0076] The measurement receiving unit 406 is used to receive an inter-frequency measurement report of periodic inter-frequency point measurement from the user equipment, and transfer the received inter-frequency measurement report to the fault location unit 406. The measurement report may include the inter-frequency point number, the serving cell reference signal received power and the inter-frequency point reference signal received power, and may also include one or more of the following indicators: the serving cell physical cell identification code, the serving cell carrier frequency point number and the neighboring area physical cell identification code corresponding to the inter-frequency point number.

[0077] The fault location unit 406 can combine the service cell carrier frequency point number and the service cell physical cell identification code to uniquely identify the designated service cell, and combine the heterogeneous frequency point number and the corresponding neighboring cell physical cell identification code to uniquely identify the corresponding neighboring cell relative to the designated service cell, thereby filtering out the reporting data of unnecessary service cells other than the designated service cell and the reporting data of unnecessary neighboring cells other than the corresponding neighboring cells.

[0078] The fault location unit 406 may also determine whether a fault occurs on a multi-network access point device port corresponding to each inter-frequency point in the multi-network combining device 106 based on the inter-frequency measurement report from the user equipment.

[0079] To this end, for each inter-frequency point, the fault location unit 406 can calculate the average value of the main neighbor cell receiving power difference by calculating the average of the differences between the reference signal receiving powers of multiple serving cells and the corresponding multiple inter-frequency point reference signal receiving powers of the inter-frequency point, and use the isolation forest algorithm as described above to separate each value in the N average values ​​of the main neighbor cell receiving power difference as a normal value or an abnormal value.

[0080] The fault location unit 406 can take the average value of the difference in power between the primary and neighboring cells in time sequence for each inter-frequency point and the number of times the average value of the difference in power between the primary and neighboring cells is obtained as input h(x) and c(n), and calculate the isolation forest anomaly score s(x,n) as output according to the above isolation forest anomaly score formula. The fault location unit 406 can also separate the average value of the difference in power between the primary and neighboring cells into a normal value or an abnormal value based on the calculated isolation anomaly score, and when the average value of the difference in power between the primary and neighboring cells at a certain inter-frequency point is continuously higher than K times the median value of the normal difference average value, it is determined that the multi-network access point device port corresponding to the inter-frequency point has a fault, wherein the parameter K can be set to be above 2.0 according to engineering requirements.

[0081] Figure 5 1 is a schematic diagram of the structure of a network node 102 according to another embodiment of the present application. As shown in the figure, the network node 102 may include a processor 502 and a memory 504 storing computer executable instructions 506, which, when executed by the processor 502, causes the network node 102 to be configured to perform operations in one or more methods or processes described herein. In another example, the network node 102 includes a processor 502, which is configured to perform operations in one or more methods or processes described herein. In yet another example, the network node 102 includes one or more components for performing operations in one or more methods or processes described herein.

[0082] In one example, the present application also provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor or computing device, perform operations in one or more methods or processes described herein.

[0083] In another example, the present application also provides a computer program product storing computer executable instructions, which, when executed by a processor or a computing device, perform operations in one or more methods or processes described herein.

[0084] By adopting the method and equipment described in this article, by analyzing the inter-frequency point measurement reports reported by user equipment in the service cell of the mobile communication network involving multi-network combining equipment, the present application can locate the POI device port fault corresponding to the inter-frequency point with abnormal measurement data while avoiding a large number of field tests, especially avoiding field tests on other operators' networks, thereby providing operators with efficient multi-network combining equipment fault troubleshooting and positioning.

[0085] The embodiments and examples set forth herein are provided to best illustrate embodiments according to the present application and its specific applications, and thereby enable those skilled in the art to implement and use the present application. However, those skilled in the art will appreciate that the above description and examples are provided only for ease of illustration and example. The description set forth is not intended to cover all aspects of the present application or to limit the present application to the precise form disclosed.

Claims

1. A method for locating a fault in a multi-network combining device, comprising: Configure inter-frequency point measurement for user equipment in a specified serving cell; Starting periodic inter-frequency point measurement to instruct the user equipment in the serving cell to perform the periodic inter-frequency point measurement according to the configured inter-frequency point measurement; Receiving an inter-frequency measurement report of the periodic inter-frequency point measurement from the user equipment, the inter-frequency measurement report including an inter-frequency point number, a serving cell reference signal received power, and an inter-frequency point reference signal received power; as well as Based on the inter-frequency measurement report, it is determined whether a multi-network access point device port corresponding to each inter-frequency point in the multi-network combining device fails.

2. The method of claim 1, wherein: Determining whether a multi-network access point device port corresponding to each hetero-frequency point in the multi-network combining device fails based on the hetero-frequency measurement report includes: for each hetero-frequency point, Calculate the average value of the primary neighbor cell received power difference by calculating the average of the differences between the reference signal received powers of the multiple serving cells and the reference signal received powers of the multiple inter-frequency points corresponding to the inter-frequency point; Calculate the average value of the received power difference of the primary and adjacent cells in chronological order; and Based on the average values ​​of the multiple primary-neighbor cell received power difference values, an isolation forest algorithm is used to determine whether a multi-network access point device port corresponding to the heterodyne frequency point fails.

3. The method of claim 2, wherein: The isolation forest algorithm uses the average values ​​of the primary neighbor cell received power difference values ​​and the number of times the average values ​​of the primary neighbor cell received power difference values ​​are obtained as input, and calculates an isolation anomaly score as output.

4. The method of claim 3, wherein: The average values ​​of the primary neighbor cell received power differences are separated into normal values ​​or abnormal values ​​based on the calculated isolation anomaly scores.

5. The method of claim 4, wherein: When the average value of the difference in received power between the primary and adjacent cells of a certain inter-frequency point is continuously higher than K times the median value of the normal difference average value, it is determined that a fault occurs on the multi-network access point device port corresponding to the inter-frequency point.

6. The method according to any one of claims 1 to 5, wherein: The multi-network access point device port refers to part or all of the path between the input of the multi-network combiner device connected to the operator's source device and the output connected to the distributed antenna feeder system.

7. The method according to any one of claims 1 to 5, wherein: The operator of at least one heterofrequency point is different from the operator of the serving cell.

8. The method according to any one of claims 1 to 5, wherein: The inter-frequency measurement report also includes a serving cell physical cell identification code, a serving cell carrier frequency number, and a neighboring cell physical cell identification code corresponding to the inter-frequency frequency number, and the method further includes: combining the serving cell physical cell identification code and the serving cell carrier frequency number as a unique identifier of the serving cell; and The inter-frequency point number and the corresponding neighboring physical cell identification code are combined as the unique identifier of the corresponding neighboring cell.

9. A network node in a mobile communication network, comprising: A measurement configuration unit, used to configure inter-frequency point measurement for user equipment in a designated serving cell; A measurement starting unit, configured to start periodic inter-frequency point measurement to instruct the user equipment in the serving cell to perform the periodic inter-frequency point measurement according to the configured inter-frequency point measurement; A measurement receiving unit, configured to receive an inter-frequency measurement report of the periodic inter-frequency point measurement from the user equipment, wherein the inter-frequency measurement report includes an inter-frequency point number, a serving cell reference signal received power, and an inter-frequency point reference signal received power; as well as A fault location unit is used to determine whether a fault occurs in a multi-network access point device port corresponding to each hetero-frequency point in the multi-network combining device based on the hetero-frequency measurement report.

10. A network node in a mobile communication network, comprising: processor; and A memory storing computer executable instructions, which when executed by the processor configure the network node to perform the method according to any one of claims 1-8.

11. A network node in a mobile communication network, comprising: A processor, the processor being configured to execute the method according to any one of claims 1-8.

12. A computer-readable storage medium storing computer-executable instructions, wherein the instructions, when executed by a processor, perform the method according to any one of claims 1 to 8.

13. A device in a network node of a mobile communication network, comprising components for executing the method according to any one of claims 1 to 8.

14. A computer program product storing computer executable instructions, wherein when the instructions are executed by a processor, the method according to any one of claims 1 to 8 is performed.

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