WO2023045931A1

WO2023045931A1 - Network performance abnormality analysis method and apparatus, and readable storage medium

Info

Publication number: WO2023045931A1
Application number: PCT/CN2022/119963
Authority: WO
Inventors: 许瑞岳; 石小丽
Original assignee: 华为技术有限公司
Priority date: 2021-09-24
Filing date: 2022-09-20
Publication date: 2023-03-30
Also published as: CN115866634A

Abstract

A network performance abnormality analysis method and apparatus, and a readable storage medium, which are used to analyze the abnormality of network performance parameters. In the present application, a first apparatus receives network performance abnormality analysis requirement information, analyzes a network performance parameter according to the network performance abnormality analysis requirement information, and sends an obtained network performance abnormality analysis result. The network performance abnormality analysis requirement information comprises at least one among information of the network performance parameter or a network performance abnormality analysis type. The information of the network performance parameter comprises at least one among an identifier of the network performance parameter or category information of the network performance parameter. The network performance abnormality analysis type comprises: at least one among network performance abnormality detection analysis, network performance abnormality root cause analysis, or network performance abnormality repair suggestion analysis. As such, operation and maintenance personnel do not need to monitor in real time a large amount of information, which can save manpower, and network abnormality analysis can be performed according to the actual needs of operation and maintenance personnel.

Description

A method, device, and readable storage medium for network performance abnormality analysis

Cross References to Related Applications

This application claims the priority of the Chinese patent application submitted to the China Patent Office on September 24, 2021, with the application number 202111119415.7 and the application name "A Method, Device, and Readable Storage Medium for Analyzing Network Performance Abnormalities", the entire content of which Incorporated in this application by reference.

technical field

The present application relates to the technical field of network maintenance, and in particular to a network performance abnormality analysis method, device and readable storage medium.

Background technique

The operator network has developed to the fifth generation mobile network (the 5th generation, 5G), and the network architecture has become more flexible (such as the service of the core network, the central unit of the radio access network (RAN) , CU) and distribution unit (distribute unit, DU) separation, flexible customization of network slicing, etc.), the demand for network performance parameters such as network coverage, capacity, speed, and mobility continues to increase. The 5th generation mobile network (the 5th generation, 5G) industry is becoming more and more rich and diverse, and the demand for network performance parameters such as service user delay and call drop rate is also rising. Operation and maintenance personnel need to monitor massive amounts of information in real time to determine whether the network performance parameters of the current network are abnormal. This solution requires a lot of manpower.

Based on this, there is an urgent need for a network performance anomaly analysis solution for monitoring network performance parameters.

Contents of the invention

Embodiments of the present application provide a network performance anomaly analysis method, device, and readable storage medium, which are used to analyze an abnormal situation of network performance parameters.

In the first aspect, the embodiment of the present application provides a method for handling network problems, including:

The first device receives network performance anomaly analysis requirement information; network performance anomaly analysis requirement information includes at least one of network performance parameter information or network performance anomaly analysis type; network performance parameter information includes network performance parameter identification or network performance parameter At least one of category information; the network performance abnormal analysis type includes: at least one of network performance abnormal detection analysis, network performance abnormal root cause analysis, or network performance abnormal repair suggestion analysis. The first device analyzes the network performance parameters according to the network performance abnormality analysis requirement information, and obtains the network performance abnormality analysis result. The first device sends a network performance abnormality analysis result.

In the embodiment of the present application, the first device may analyze network performance parameters, and output an analysis result of abnormal network performance. In this way, there is no need for operation and maintenance personnel to monitor massive amounts of information in real time, thereby saving manpower.

In yet another possible implementation manner, the first device may analyze network performance parameters according to network performance anomaly analysis requirement information, so that more diverse network performance anomaly analysis services may be provided. For example, operation and maintenance personnel can provide network performance anomaly analysis requirement information based on their own actual needs, so that the network anomaly analysis results can be more in line with the actual needs of operation and maintenance personnel.

And the network performance anomaly analysis requirement information may include one or more network performance parameters, so the first device can perform network anomaly analysis for the specified several network performance parameters, and can also determine the type of network performance anomaly analysis to be performed according to the network performance anomaly analysis type. Operation, so as to reduce the load of the network performance abnormality analysis of the first device, and provide the operation and maintenance personnel with network performance abnormality analysis results that are more in line with their actual needs.

In a possible implementation manner, the network performance abnormality analysis requirement information further includes the abnormality threshold corresponding to the network performance parameter and the type information of the abnormality threshold. The type information of the abnormal threshold includes static threshold type information or dynamic threshold type information. Since the network performance anomaly analysis requirement information includes the abnormal threshold and the type information of the abnormal threshold, the operation and maintenance personnel can determine the type of the abnormal threshold of the network performance parameter according to actual needs, so that the first device can provide a variety of information that better meets the needs of the operation and maintenance personnel. sexual services.

In a possible implementation manner, when the type information of the abnormal threshold includes static threshold type information, it is determined according to the abnormal threshold whether the network performance parameter is abnormal.

In a possible implementation manner, when the abnormal threshold type information includes dynamic threshold type information, determine an abnormal threshold update value, and determine whether the network performance parameter is abnormal according to the abnormal threshold update value. It can be seen that this solution can dynamically adjust the abnormality threshold according to the actual situation, and in practical applications, the dynamic range of network performance parameters is relatively large. If the dynamic threshold type is used, the network abnormality analysis results that are more in line with the actual application scenario can be given.

In a possible implementation manner, the network performance abnormality requirement information further includes: object information of network performance abnormality analysis. The object information of network performance anomaly analysis includes at least one of the following: information of geographical area; or information of network equipment. Since the network performance anomaly analysis requirement information includes the network performance anomaly analysis object information, the first device can only analyze the area or network element indicated by the network performance anomaly analysis object information, and this solution can save network analysis load.

In a possible implementation manner, the network performance anomaly analysis requirement information further includes at least one of the following: the first trigger condition for root cause analysis of the abnormality of the network performance parameter; Exceptions provide a second trigger for remediation suggestions.

In a possible implementation manner, the type information of the abnormal network performance analysis includes the type of root cause analysis of the abnormal network performance and the first trigger condition: when the abnormality of the network performance parameter satisfies the first trigger condition, The root cause analysis is performed on the abnormality of the network performance parameters to obtain the result of the root cause analysis; the analysis result of the network performance abnormality includes the root cause analysis result. Since the network performance anomaly analysis requirement information includes the first trigger condition, the first device does not need to perform root cause analysis for all abnormal network performance parameters, thereby reducing network load.

In a possible implementation manner, the type information of network performance anomaly analysis includes a network performance anomaly repair suggestion analysis type and a second trigger condition: when the abnormality of the network performance parameter satisfies the second trigger condition, The repair suggestion is determined according to the abnormal situation of the network performance parameter; the analysis result of the abnormal network performance includes the repair suggestion of the root cause analysis result. Since the network performance anomaly analysis requirement information includes the second trigger condition, the first device does not need to provide repair suggestions for all abnormal network performance parameters, thereby reducing network load.

In a possible implementation manner, the network performance anomaly analysis requirement information further includes network performance anomaly analysis statistical information. The network performance anomaly analysis statistics indicate what is included in the network performance anomaly analysis results. The network performance anomaly analysis statistical information includes at least one of the following: the number of cells with abnormal network performance parameters, the number of grid cells with abnormal network performance parameters, the number of network elements with abnormal network performance parameters, or the number of cells with abnormal network performance parameters. The number of exceptions. Since the network performance anomaly analysis requirement information includes network performance anomaly analysis statistical information, the first device can provide operation and maintenance personnel with diverse services, for example, can provide operation and maintenance personnel with network performance anomaly analysis results that are more in line with their actual needs.

In a possible implementation manner, before receiving the network performance anomaly analysis request, it also includes: sending a first message, the first message includes capability information, and the capability information indicates the capability information of supported network performance anomaly analysis; network performance anomaly analysis requirements The information is set according to the capability information. In this way, other devices may determine the network performance anomaly analysis requirement information in combination with the capability information, so that the parameters in the network performance anomaly analysis requirement information are set within the range supported by the first device.

In a second aspect, the embodiment of the present application provides a method for analyzing network performance anomalies. In the method, the second device sends network performance anomaly analysis requirement information. The network performance anomaly analysis requirement information indicates the requirements satisfied by analyzing the network performance parameters; the network performance anomaly analysis requirement information includes at least one of the network performance parameter information or the network performance anomaly analysis type; the network performance parameter information includes network performance At least one of parameter identification or category information of network performance parameters; network performance anomaly analysis types include: at least one of network performance anomaly detection analysis, network performance anomaly root cause analysis, or network performance anomaly repair suggestion analysis. The second device receives a network performance anomaly analysis result.

In this embodiment of the present application, the second device may send network performance anomaly analysis requirement information, so that the received network performance anomaly analysis result more matches its own requirements. And the network performance anomaly analysis requirement information can include one or more network performance parameters, and the network performance anomaly analysis type can also be specified, thereby reducing the load of network performance anomaly analysis and providing operation and maintenance personnel with Analysis results of abnormal network performance.

In a possible implementation manner, the network performance abnormality analysis requirement information further includes the abnormality threshold corresponding to the network performance parameter and the type information of the abnormality threshold. The type information of the abnormal threshold includes static threshold type information or dynamic threshold type information. The static threshold type information indicates whether the network performance parameter is abnormal according to the abnormal threshold. The dynamic threshold type information indicates to determine the update value of the abnormal threshold, and determine whether the network performance parameter is abnormal according to the updated value of the abnormal threshold. For related beneficial effects, refer to the first aspect, which will not be repeated here.

In a possible implementation manner, the network performance anomaly requirement information further includes: object information of network performance anomaly analysis, and the object information of network performance anomaly analysis indicates a data source of network performance anomaly analysis. The object information of network performance anomaly analysis includes at least one of the following: information of geographical area; or information of network equipment. For related beneficial effects, refer to the first aspect, which will not be repeated here.

In a possible implementation manner, the network performance anomaly analysis requirement information further includes at least one of the following: the first trigger condition for root cause analysis of the abnormality of the network performance parameter; Exceptions provide a second trigger for remediation suggestions. For related beneficial effects, refer to the first aspect, which will not be repeated here.

In a possible implementation manner, the network performance anomaly analysis requirement information further includes network performance anomaly analysis statistical information. The network performance anomaly analysis statistics indicate what is included in the network performance anomaly analysis results. The network performance anomaly analysis statistical information includes at least one of the following: the number of cells with abnormal network performance parameters, the number of grid cells with abnormal network performance parameters, the number of network elements with abnormal network performance parameters, or the number of cells with abnormal network performance parameters. The number of exceptions. For related beneficial effects, refer to the first aspect, which will not be repeated here.

In a possible implementation manner, before receiving the network performance anomaly analysis request, the method further includes: the second device receives a first message, where the first message includes capability information, and the capability information indicates capability information supporting network performance anomaly analysis. The second device determines network performance anomaly analysis requirement information according to the capability information.

In this way, other devices may determine the network performance anomaly analysis requirement information in combination with the capability information, so that the parameters in the network performance anomaly analysis requirement information are set within the range supported by the first device.

In a third aspect, an apparatus is provided, including a communication unit and a processing unit. The device may be the above-mentioned first device or the above-mentioned second device. The device may implement any one of the above-mentioned first aspect to the second aspect, and any implementation manner of any one aspect. The communication unit is used to perform functions related to transmission and reception. Optionally, the communication unit includes a receiving unit and a sending unit. In one design, the device is a communication chip, the processing unit may be one or more processors or processor cores, and the communication unit may be an input/output circuit or port of the communication chip.

In another design, the communication unit may be a transmitter and a receiver, or the communication unit may be a transmitter and a receiver.

Optionally, the device further includes various modules that can be used to implement any one of the above-mentioned first aspect to the second aspect, and any implementation manner of any one aspect.

In a fourth aspect, an apparatus is provided, including a processor and a memory. The device may be the above-mentioned first device or the above-mentioned second device. Optionally, a transceiver is also included, the memory is used to store computer programs or instructions, the processor is used to call and run the computer programs or instructions from the memory, and when the processor executes the computer programs or instructions in the memory, the The device executes any one of the first aspect to the second aspect above, and any implementation manner of any one aspect.

Optionally, there are one or more processors, and one or more memories.

Optionally, the memory may be integrated with the processor, or the memory may be separated from the processor.

Optionally, the transceiver may include a transmitter (transmitter) and a receiver (receiver).

In a fifth aspect, an apparatus is provided, including a processor. The device may be the above-mentioned first device or the above-mentioned second device. The processor is coupled with the memory, and can be used to execute any one of the first aspect to the second aspect, and any implementation manner of any one aspect. The device may be the above-mentioned first device or the above-mentioned second device. Optionally, the device further includes a memory. Optionally, the device further includes a communication interface, and the processor is coupled to the communication interface.

In an implementation manner, when the device is the first device or the second device, the communication interface may be a transceiver, or an input/output interface. Optionally, the transceiver may be a transceiver circuit. Optionally, the input/output interface may be an input/output circuit.

In yet another implementation, when the device is a chip or a chip system of the first device, or a chip or a chip system of the second device, the communication interface may be an input/output interface, an interface on the chip or the chip system circuit, output circuit, input circuit, pin or related circuit, etc. A processor may also be embodied as processing circuitry or logic circuitry.

According to a sixth aspect, a system is provided, and the system includes the above-mentioned first device and the second device.

In a seventh aspect, a computer program product is provided, and the computer program product includes: a computer program (also referred to as code, or an instruction), which, when the computer program is executed, causes the computer to execute any of the above first to second aspects. An aspect, and any implementation of any aspect.

In an eighth aspect, a computer-readable storage medium is provided, and the computer-readable medium stores a computer program (also referred to as code, or an instruction) which, when run on a computer, causes the computer to perform the above-mentioned first to second aspects. Any aspect of any aspect, and any implementation of any aspect.

In a ninth aspect, a chip system is provided, and the chip system may include a processor. The processor is coupled with the memory, and may be used to implement any one of the first aspect to the second aspect above, and any implementation manner of any one aspect. Optionally, the chip system further includes a memory. Memory, used to store computer programs (also called code, or instructions). The processor is configured to call and run a computer program from the memory, so that the device installed with the system-on-a-chip executes any one of the first aspect to the second aspect, and any implementation manner of any one aspect.

In a tenth aspect, a processing device is provided, including: an interface circuit and a processing circuit. Interface circuitry may include input circuitry and output circuitry. The processing circuit is used to receive signals through the input circuit and transmit signals through the output circuit, so that any one of the first aspect to the second aspect and any implementation manner of any one aspect are realized.

In a specific implementation process, the above-mentioned processing device may be a chip, the input circuit may be an input pin, the output circuit may be an output pin, and the processing circuit may be a transistor, a gate circuit, a flip-flop, and various logic circuits. The input signal received by the input circuit may be received and input by, for example but not limited to, the receiver, the output signal of the output circuit may be, for example but not limited to, output to the transmitter and transmitted by the transmitter, and the input circuit and the output The circuit may be the same circuit, which is used as an input circuit and an output circuit respectively at different times. The present application does not limit the specific implementation manners of the processor and various circuits.

In yet another implementation manner, the device may be a part of the first device or the second device, such as an integrated circuit product such as a system chip or a communication chip. The interface circuit may be an input/output interface, interface circuit, output circuit, input circuit, pin or related circuit on the chip or chip system. The processing circuitry may be logic circuitry on the chip.

Description of drawings

FIG. 1 is a schematic diagram of a system architecture of a possible network performance abnormality analysis method;

FIG. 2a is a schematic diagram of a system architecture provided by an embodiment of the present application;

FIG. 2b is a schematic diagram of another system architecture provided by the embodiment of the present application;

FIG. 3 is a schematic diagram of an interactive process of the network anomaly analysis method provided by the present application;

Figure 4a is a schematic diagram of the relationship between the KPI abnormal intelligent analysis function management object 1 and the KPI abnormal intelligent analysis capability object;

Fig. 4b is a schematic diagram of creating a KPI abnormal intelligent analysis capability object 2 on the basis of Fig. 4a;

FIG. 4c is a schematic diagram of a possible system architecture provided by the embodiment of the present application;

FIG. 5 is a schematic diagram of an interactive process providing another network performance abnormality analysis method on the basis of FIG. 3;

FIG. 6 is a schematic structural diagram of a device provided in an embodiment of the present application;

Fig. 7 is a schematic structural diagram of another device provided by the embodiment of the present application;

Fig. 8 is a schematic structural diagram of another device provided by the embodiment of the present application.

Detailed ways

The embodiments of the present application will be described in detail below in conjunction with the accompanying drawings.

Embodiments of the present application can be applied to various mobile communication systems, such as: new radio (new radio, NR) system, long term evolution (long term evolution, LTE) system, advanced long term evolution (advanced long term evolution, LTE-A) system, future communication system and other communication systems, specifically, there is no limitation here.

FIG. 1 exemplarily shows a schematic diagram of a system architecture of a possible network performance anomaly analysis method, as shown in FIG. 1 , including a cross-domain management function unit (Cross Domain MnF) and a domain management function unit (Domain MnF). Among them, the domain management function unit (Domain MnF) can analyze the network performance and report the abnormal analysis results of the network performance.

However, there are hundreds or even thousands of network performance parameters in the network, and these network performance parameters are generated at the minute level. The domain management function unit (Domain MnF) performs abnormal analysis on all network performance parameters, which requires huge calculations. and analysis capacity. On the other hand, the network performance parameters that the operation and maintenance personnel are concerned about are different, and the domain management function unit (Domain MnF) in the prior art reports all the network performance parameters analyzed. In this way, the operation and maintenance personnel also need to obtain Check the several network performance parameters you need from a large number of network performance parameters. It can be seen that the network performance anomaly analysis method with a single goal, on the one hand, leads to an excessive load on the Domain Management Function Unit (Domain MnF), and on the other hand, cannot meet the different needs of operation and maintenance personnel.

Based on the above problems, FIG. 2a exemplarily shows a schematic diagram of a system architecture provided by an embodiment of the present application. As shown in FIG. 2a, the system architecture includes a first device and a second device. In this embodiment of the present application, the location where the first device and the second device are connected may be called an interface, through which the first device may provide the second device with a network performance abnormality analysis service. The second device sends a network performance anomaly analysis request to the first device. The first device receives a network performance anomaly analysis request, where the network performance anomaly analysis request includes requirement information, and the requirement information indicates requirements satisfied by the network performance anomaly analysis to be performed. The demand information includes information on network performance parameters. The first device analyzes the network performance parameters according to the demand information, and obtains an analysis result of abnormal network performance. The first device sends a network performance anomaly analysis response to the second device, and the network performance anomaly analysis response includes a network performance anomaly analysis result.

It can be seen that in the embodiment of the present application, the first device can receive demand information, and perform network performance anomaly analysis according to the demand information. In this way, the operation and maintenance personnel can provide various demand information based on their own actual needs, so that the network anomaly analysis results can be more in line with the actual needs of the operation and maintenance personnel.

FIG. 2b exemplarily shows another system architecture provided by the embodiment of the present application. The system architecture provided by the embodiment of the present application may also be called a network management system, a management architecture, a network architecture, and the like. As shown in Figure 2b, the system architecture includes: business operation unit, cross domain management function unit (cross domain management function, CD-MnF), domain management function unit (domain management function, D-MnF), and network element (net element, NE).

Wherein, the business operation unit is used to manage one or more cross-domain management functional units. The cross-domain management functional unit is used to manage one or more domain management functional units. The domain management functional unit can be used to manage one or more network elements. A brief introduction to each unit is given below.

(1) Business operation unit.

The business operation unit can also be called a business support system (business support system, BSS) or a communication service management function unit (communication service management function, CSMF). The business operation unit can be used to provide functions and management services such as billing, settlement, accounting, customer service, sales, network monitoring, communication business life cycle management, and business intent translation. A business operation unit may include an operator's operating system or a vertical industry operating system (vertical operational technology system).

(2) Cross-domain management functional unit.

The cross-domain management function unit may also be called a network management function unit (network management function, NMF). The cross-domain management functional unit can provide one or more of the following functions or management services: network life cycle management, network deployment, network fault management, network performance management, network configuration management, network guarantee, network optimization Function, translation of intent from communication service provider (intent-CSP) of communication service provider, translation of intent from communication service consumer (intent-CSC) of communication service user, etc. The network here may include one or more network elements, sub-networks or network slices. For example, the cross-domain management function unit can be a network slice management function (network slice management function, NSMF), or a management data analysis function (management data analytic function, MDAF), or a cross-domain self-organization network function (self-organization network function, SON-function), or cross-domain intent management functional unit.

It should be noted that in some deployment scenarios, the cross-domain management functional unit may also provide one or more of the following management functions or management services: lifecycle management of subnetworks, deployment of subnetworks, fault management of subnetworks, Subnetwork performance management, subnetwork configuration management, subnetwork guarantee, subnetwork optimization function, subnetwork intent translation function, etc. Among them, the subnetwork can be composed of multiple small subnetworks or multiple network slice subnetworks. For example, an access network subnetwork of an operator includes the access network subnetwork of equipment vendor 1 and the access network of equipment vendor 2. Mesh subnetwork.

(3) Domain management functional unit.

The domain management function unit can also be called subnetwork management function (NMF) or network element management function unit (network element/function management function). The domain management function unit provides one or more of the following functions or management Services: lifecycle management of subnetworks or NEs, deployment of subnetworks or NEs, fault management of subnetworks or NEs, performance management of subnetworks or NEs, guarantee of subnetworks or NEs, Optimal management of elements, intent translation of sub-networks or network elements, etc. The subnet here includes one or more network elements. Alternatively, the sub-network here may also include one or more sub-networks, that is, one or more sub-networks form a sub-network with a larger coverage. Alternatively, the subnetwork here may also include one or more network slice subnetworks. Among them, the subnetwork can be described by at least one of the following ways:

A network in a certain technical domain, such as wireless access network, core network, transmission network, etc.;

A standard network, such as GSM network, LTE network, 5G network, etc.;

A network provided by a certain equipment vendor, such as the network provided by equipment vendor X;

The network of a certain geographical area, such as the network of factory A, the network of prefecture-level city B, etc.

Figure 2b takes the technical domain network as an example. For example, Figure 2a uses the wireless access network domain management function unit, the core network domain management function unit, and the transmission network domain management function unit as examples to show each domain management function unit.

(4) Network element.

A network element is an entity that provides network services, including core network elements, wireless access network elements, and transmission network elements. As shown in Figure 2b, the wireless access network domain management functional unit can be used to manage wireless access network elements, the core network network element domain management functional unit can be used to manage core network elements, and the transmission network domain management functional unit It can be used to manage transmission network elements.

For example, core network elements may include but not limited to access and mobility management function (access and mobility management function, AMF) entity, session management function (session management function, SMF) entity, policy control function (policy control function, PCF) Entity, network data analysis function (network data analysis function, NWDAF) entity, network storage function (network repository function, NRF), gateway, etc.

Radio access network elements may include but not limited to: various base stations (such as next-generation base station (generation node B, gNB), evolved base station (evolved Node B, eNB), centralized control unit (central unit control panel, CUCP) , centralized unit (central unit, CU), distributed unit (distributed unit, DU), centralized user plane unit (central unit user panel, CUUP), etc. In this application, the network function NF is also referred to as a network element NE.

In addition, under the service-oriented management architecture, there are multiple deployments focusing on the management service producer (management service producer, MnS producer) and the management service consumer (management service consumer, MnS consumer). When the management service is provided by the operation unit, the business operation unit is the management service provider, and other service operator units (such as cross-domain management functional units, domain management functional units or network elements) can be management service consumers; when the management service is For the management service provided by the above-mentioned cross-domain management functional unit, the cross-domain management functional unit is the management service provider, and other business operator units (such as business operation units, domain management functional units or network elements) are management service consumers; When the management service is the management service provided by the above-mentioned domain management functional unit, the domain management functional unit is the management service provider, and other service operator units (for example, cross-domain management functional unit or business operation unit or network element) are management service consumers ; When the management service is the management service provided by the above-mentioned network element, the network element is the management service provider, and other service operator units (for example, domain management functional units or cross-domain management functional units or business operation units) are management service consumers .

The network performance anomaly analysis method provided in the embodiment of the present application may be applicable to the system architecture shown in FIG. 2b. The first device and the second device in FIG. 2a can be deployed in the system architecture of FIG. 2b. When the network performance anomaly analysis method is applied to the system architecture shown in FIG. 2b, the first device and the second device in FIG. 2a are in There can be different settings in Figure 2b, such as:

1. The second device can be the upper-level management device of the first device, or a higher-level management device, specifically including the following three situations:

A. The second device is a service operation unit; the first device may be a cross-domain management function unit, or a domain management function unit, or a network element. Wherein, the second device may be a business operation unit, or a logical unit in the business operation unit (such as a chip in the business operation unit), and the first device may be a cross-management function unit or a logic unit in the cross-management function unit. The function is either a domain management functional unit or a logical function in a domain management functional unit, or an independent network element or a logical function in a network element.

B. The second device is a cross-domain management function unit; the first device may be a domain management function unit, or a network element. Wherein, the second device may be a cross-domain management functional unit or a logical unit in the cross-domain management functional unit; the first device may be a domain management functional unit, or a logical function in the domain management functional unit; or, the first A device is an independent network element or a logical function within a network element.

C. The second device is a domain management function unit; the first device may be a network element. Wherein, the second device may be a domain management function unit, or a logic unit in the domain management function unit; the first device may be an independent network element or a logic function in the network element.

It can be understood that Figure 2b is an example of a three-level management device above the network element. In practical applications, the network architecture may include more or fewer levels of management devices. For these network structures, this application The technical solution provided is also applicable.

2. There may be no upper-lower restriction between the second device and the first device. For example, the second device is the provider of the focus management service, and the first device is the consumer of the management service. Wherein, the provider of the focus management service and For consumers of management services, please refer to the previous description. Specifically, it includes the following situations:

A. When the second device is a service operation unit, the first device is other units except the service operation unit; for example, a cross-domain management function unit, a domain management function unit, a network element, and the like.

B. When the second device is a cross-domain management functional unit, the first device may be other units except the cross-domain management functional unit, for example, a service operation unit, a domain management functional unit, and a network element.

C. When the second device is a domain management functional unit, the first device may be other units except the domain management functional unit, such as a service operation unit, a cross-domain management functional unit, and a network element.

D. The second device is a network element, and the first device is other units except the network element, such as a service operation unit, a cross-domain management function unit, and a domain management function unit.

Please refer to FIG. 3 , which is a schematic diagram of an interaction flow of the network anomaly analysis method provided by the present application. As shown in FIG. 3 , the flow can be executed by the first device and the second device in FIG. 2 a. It should be noted that in the embodiment of the present application, the first device and the second device may have other names. For example, the second device may be called a control device, a control module, a network performance anomaly analysis control module, a KPI anomaly analysis control module, or a KPI Abnormal intelligent analysis control module, etc. The first device may be called an execution device, execution module, network performance anomaly analysis execution module, KPI anomaly analysis execution module, KPI anomaly intelligent analysis execution module, etc. The embodiment of the present application does not limit the names of the first device and the second device .

As shown in Figure 3, the process includes:

S301. The second device sends network performance abnormality analysis requirement information to the first device. The network performance abnormality analysis requirement information includes network performance parameter information. The information of the network performance parameter includes at least one of an identifier of the network performance parameter or category information of the network performance parameter. The network performance anomaly analysis requirement information indicates a requirement satisfied by analyzing the network performance parameter.

Correspondingly, the first device receives the network performance abnormality analysis requirement information from the second device.

S302. The first device analyzes network performance parameters according to the network performance abnormality analysis requirement information, and obtains a network performance abnormality analysis result.

S303. The first device sends a network performance abnormality analysis result.

In S303, the first device may return a network performance abnormality analysis result to the second device. In this case, the second device may receive the abnormality analysis result of the network performance from the first device. In yet another possible implementation manner, the second device may designate another device (such as a third device) as a device to receive the analysis result of the network performance anomaly. In this case, the first device may send the network performance anomaly analysis result to the third device. result. In the embodiment of the present application, the sending of the analysis result of network performance abnormality by the first device to the second device is taken as an example for illustration.

On the other hand, in practical applications, there are hundreds or even thousands of network performance parameters in the network, and these network performance parameters may be generated at the minute level. If abnormal analysis is performed on all network performance parameters, huge calculations will be required and analysis capacity. Moreover, the network performance parameters that different operation and maintenance personnel pay attention to may be different, and even the same operation and maintenance personnel may pay attention to different network performance parameters in different network performance abnormality analysis tasks. Since the first device can analyze the network performance parameters according to the network performance anomaly analysis requirement information, more diverse network performance anomaly analysis services can be provided. For example, operation and maintenance personnel can provide network performance anomaly analysis requirement information based on their own actual needs, so that the network anomaly analysis results can be more in line with the actual needs of operation and maintenance personnel, thereby meeting the needs of operation and maintenance personnel, and also The load of network anomaly analysis can be reduced.

In this embodiment of the present application, the network performance anomaly analysis requirement information may include multiple parameters, for example, may include at least one of the following parameter a1, parameter a2, parameter a3, parameter a4, parameter a5, or parameter a6.

Parameter a1, information of network performance parameters.

In the embodiment of the present application, the first device is configured to analyze an abnormal situation of a network performance parameter. The network performance parameters in the embodiments of the present application may include network performance measurement parameters (measurement), network performance key indicators, network performance quality indicators, key quality indicators (key quality indicator, KQI), service quality agreement (service level agreement, SLA) ), etc., the network performance parameter may be referred to as KPI in the embodiment of the present application.

The network performance parameter indicated by the information of the network performance parameter in the network performance anomaly analysis requirement information is the network performance parameter for which the first device needs to analyze the network anomaly. The network performance parameter indicated by the network performance parameter information may be one or multiple. The information of the network performance parameter may include at least one of an identifier of the network performance parameter or category information of the network performance parameter.

The identifier of the network performance parameter can be information such as the name of the network performance parameter, for example, it can include physical resource block (physical resource block, PRB) utilization rate, throughput rate, delay, or radio resource control (radio resource control, RRC) establishment At least one of the success rates.

The category information of network performance parameters may be, for example, coverage, capacity, rate, handover, and the like. The category information of a network performance parameter may indicate one or more network performance parameters. For example, if the category information of the network performance parameter is coverage, then the information of the network performance parameter indicates one or more network performance parameters under the category of coverage. For example, the network performance parameters under the coverage category may include, for example: reference signal receiving power (reference signal receiving power, RSRP), signal to interference-plus-noise ratio (signal to interference-plus-noise ratio, SINR), etc. For another example, if the category information of the network performance parameter is rate, then the information of the network performance parameter indicates one or more network performance parameters under the rate category. For example, the network performance parameters under the rate category may include: an average uplink rate, an average downlink rate, and the like. For another example, if the category information of the network performance parameter is capacity, then the information of the network performance parameter indicates one or more network performance parameters under the capacity category. For example, the network performance parameters under the capacity category may include, for example, a physical resource block (physical resource block, PRB) usage rate, and the like. In this way, the operation and maintenance personnel can specify one or more network performance parameters by specifying the category information of the network performance parameters, thereby saving workload.

Since the network performance anomaly analysis requirement information includes information on network performance parameters, the first device can perform network anomaly analysis only on the network performance parameters indicated by the network performance anomaly analysis requirement information. Compared with the solution for analyzing all network performance parameters, This solution can save network analysis load.

Parameter a2, the abnormal threshold corresponding to the network performance parameter and the type information of the abnormal threshold.

The abnormal threshold can be called the initial threshold, for example, it can be called the KPI initial threshold. The type information of the abnormal threshold includes static threshold type information or dynamic threshold type information.

The static threshold type information indicates whether the network performance parameter is abnormal according to the abnormal threshold. If the type information of the abnormal threshold included in the network performance abnormality analysis requirement information includes static threshold type information, in the above S302, the first device may determine whether the network performance parameter is abnormal according to the abnormal threshold. For example, when the network performance parameter is RRC establishment success rate, and the abnormality threshold of the network performance parameter is 80%, if the first device judges that the RRC establishment success rate is less than 80%, it determines that the RRC establishment success rate is abnormal. If the first device determines that the success rate of RRC establishment is not less than 80%, it determines that the success rate of RRC establishment is not abnormal.

The dynamic threshold type information indicates to determine the update value of the abnormal threshold, and determine whether the network performance parameter is abnormal according to the updated value of the abnormal threshold. In the case that the abnormal threshold type information included in the network performance abnormality analysis requirement information includes dynamic threshold type information, in the above S302, the first device may determine an abnormal threshold update value, and determine whether the network performance parameter is abnormal according to the abnormal threshold update value. For example, the first device may update the abnormality threshold according to an average value of network performance parameters over a period of time. For example, when the network performance parameter is the RRC establishment success rate, the abnormality threshold of the network performance parameter is 80%. The first device judges that the average value of the RRC establishment success rate of the 10 cells is 85%. If the first device updates the abnormality threshold from 80% to 85%. Afterwards, if the first device judges that the success rate of RRC establishment is less than 85%, it is determined that the success rate of RRC establishment is abnormal. If the first device judges that the success rate of RRC establishment is not less than 85%, it determines that the success rate of RRC establishment is not abnormal. It can be seen that this solution can dynamically adjust the abnormality threshold according to the actual situation, and in practical applications, the dynamic range of network performance parameters is relatively large. If the dynamic threshold type is used, the network abnormality analysis results that are more in line with the actual application scenario can be given.

Since the network performance anomaly analysis requirement information includes the abnormal threshold and the type information of the abnormal threshold, the operation and maintenance personnel can determine the type of the abnormal threshold of the network performance parameter according to actual needs, so that the first device can provide a variety of information that better meets the needs of the operation and maintenance personnel. sexual services.

Parameter a3, the object information of abnormal network performance analysis.

The object information of network performance abnormality analysis can also be understood as the range that the first device needs to perform network performance abnormality analysis.

The object information of network performance abnormality analysis includes at least one of the following contents: information of geographical area, or information of network equipment.

For example, the information of the geographical area may be, for example, a description of an administrative area or a description of latitude and longitude. In this way, the first device may analyze network performance parameters in the geographical area. For another example, the network device information may be the identifier or name of one or more network elements. For example, a network element list may be created, and the network element list may include at least one network element identifier or name. In this way, in The first device in S302 above may analyze the network performance parameters of these network elements.

Since the network performance anomaly analysis requirement information includes the network performance anomaly analysis object information, the first device can only analyze the area or network element indicated by the network performance anomaly analysis object information, and this solution can save network analysis load.

Parameter a4, network performance anomaly analysis type.

The network performance abnormal analysis type includes: at least one of network performance abnormal detection analysis, network performance abnormal root cause analysis, or network performance abnormal repair suggestion analysis.

When the network performance anomaly analysis requirement information includes network performance anomaly detection and analysis, then in the above S302, the first device needs to analyze the network performance parameters to identify abnormal network performance parameters. The network performance anomaly analysis result may include identified abnormal network performance parameters.

When the network performance anomaly analysis requirement information includes network performance anomaly root cause analysis, then in the above S302, the first device needs to perform root cause analysis on the abnormality of the network performance parameter to obtain the root cause of the abnormality of the network performance parameter. The root causes of abnormal network performance parameters may include, for example, parameter configuration problems, software problems, equipment problems, interference problems, increase in the number of users or increase in traffic demand, etc. The root cause of abnormal network performance parameters can be included in the analysis results of network performance abnormalities for reporting, or can be reported separately. Among them, the root cause of the abnormal network performance parameters and the reporting time of the abnormal network performance analysis results are not sequentially required. The root cause of the abnormal network performance parameters can be reported before the abnormal network performance analysis results are reported, or it can be reported after the abnormal network performance analysis results are reported. Report after report.

When the network performance anomaly analysis requirement information includes network performance anomaly repair suggestion analysis, then in the above S302, the first device needs to analyze the abnormality of the network performance parameter, and give a repair suggestion for the network performance anomaly. The repair suggestion for the abnormality of the network performance parameter can also be understood as a closed-loop suggestion for the KPI abnormality of the network performance parameter. The network performance abnormal analysis result may include a repair suggestion for abnormal network performance parameters. The repair suggestions for abnormal network performance parameters can be included in the analysis results of network performance abnormalities for reporting, or can be reported separately. Among them, there is no sequential requirement for the repair suggestions for abnormal network performance parameters and the reporting time of abnormal network performance analysis results. Report after report.

Since the network performance anomaly analysis requirement information includes network performance anomaly analysis types, the first device can provide operation and maintenance personnel with diverse services, for example, can provide operation and maintenance personnel with network performance anomaly analysis results that better meet their actual needs.

When the network performance anomaly analysis requirement information includes network performance anomaly root cause analysis, the network performance anomaly analysis requirement information may further include: parameter a4-1: the first trigger condition for performing root cause analysis of abnormal network performance parameters.

In the above S302, the first device may perform root cause analysis on the abnormality of the network performance parameter to obtain a result of the root cause analysis when the abnormality of the network performance parameter satisfies the first trigger condition. The analysis results of abnormal network performance include the results of root cause analysis.

For example, the first trigger condition includes: a threshold value of the number of cells whose RRC establishment success rate is abnormal. The first device performs a root cause analysis to obtain a result of the root cause analysis when it is determined that the number of cells with an abnormal RRC establishment success rate reaches the abnormal cell number threshold.

For another example, for example, the first trigger condition includes: a threshold value of the number of times that the success rate of RRC establishment is abnormal. The first device performs root cause analysis to obtain a result of the root cause analysis when it is determined that the number of abnormal occurrences of the RRC establishment success rate reaches the number threshold.

Since the network performance anomaly analysis requirement information includes the first trigger condition, the first device does not need to perform root cause analysis for all abnormal network performance parameters, thereby reducing network load.

When the network performance anomaly analysis requirement information includes network performance anomaly repair suggestion analysis, the network performance anomaly analysis requirement information may also include: parameter a4-2: a second trigger condition for providing a repair suggestion for an abnormal network performance parameter.

In S302 above, the first device may determine a repair suggestion according to the abnormality of the network performance parameter when the abnormality of the network performance parameter satisfies the second trigger condition. Network performance anomaly analysis results include remediation recommendations.

For example, the second trigger condition includes: a threshold of the number of cells whose RRC establishment success rate is abnormal. The first device determines a repair suggestion according to a situation in which a network performance parameter is abnormal when it is determined that the number of cells with an abnormal RRC establishment success rate reaches the abnormal cell number threshold. Network performance anomaly analysis results include remediation recommendations.

For another example, for example, the second trigger condition includes: a threshold value of the number of times that the success rate of RRC establishment is abnormal. The first device determines a repair suggestion according to the abnormality of the network performance parameter when it is determined that the number of times the RRC establishment success rate is abnormal reaches the number threshold. Network performance anomaly analysis results include remediation recommendations.

Since the network performance anomaly analysis requirement information includes the second trigger condition, the first device does not need to provide repair suggestions for all abnormal network performance parameters, thereby reducing network load.

Parameter a5, network performance anomaly analysis statistics.

The network performance anomaly analysis statistical information indicates the content that needs to be collected and reported by the first device.

The network performance anomaly analysis statistics include at least one of the following:

The number of cells with abnormal network performance parameters,

The number of rasters where the network performance parameter is abnormal,

the number of network elements with abnormal network performance parameters, or,

The number of times that network performance parameter exceptions occurred.

The network performance anomaly analysis statistics may also indicate what is included in the network performance anomaly analysis result. For example, when the network performance abnormality analysis statistical information includes the number of cells with abnormal network performance parameters, then in the above S302, the first device counts the number of cells with abnormal network performance parameters. In addition, the network performance abnormality analysis result includes the number of cells with abnormal network performance parameters.

Since the network performance anomaly analysis requirement information includes network performance anomaly analysis statistical information, the first device can provide operation and maintenance personnel with diverse services, for example, can provide operation and maintenance personnel with network performance anomaly analysis results that are more in line with their actual needs.

Parameter a6 is the reporting information of network performance abnormality analysis results.

The reported information of the abnormal network performance analysis results may include at least one of the following:

Reporting period, the reporting period indicates how often the first device in S303 reports the network performance abnormality analysis result once;

The reported destination address, the reported destination address is used to indicate the address of the receiving device of the abnormal network performance analysis result in S303; or the reporting method, the reporting method is used to indicate the form in which the first device reports the abnormal network performance analysis result in S303 above, For example, for stream reporting or file reporting.

Since the network performance anomaly analysis requirement information includes reporting information, the manner in which the first device reports the network performance anomaly analysis result can better meet the actual needs of operation and maintenance personnel.

Before the above S301, the first device may send a first message to the second device, where the first message includes capability information. The capability information indicates capability information of supported network performance anomaly analysis. The first message may also be called a supported KPI anomaly analysis type request. The network performance anomaly analysis requirement information is set according to the capability information. The network performance anomaly analysis requirement information may include part or all of the capability information. The network performance anomaly analysis requirement information may also include information other than capability information. The abnormal threshold of the network performance parameter.

In yet another possible implementation manner, before the first device can send the first message to the second device, the second device can send a query request to the first device, and the query request is used to query the network performance abnormality analysis information supported by the first device. capability information. The first message can be understood as a response message to the query request.

In yet another possible implementation manner, the first device may not send the first message to the second device, for example, the capability information of the first device may be preset in the second device, or the information may be sent to the second device through other devices. Capability information of network performance abnormality analysis of the first device. Or the second device only sets the network performance anomaly analysis requirement information according to its own needs (without combining the capability information of the first device), for example, only sets the network performance anomaly analysis requirement information according to the requirement information of the operation and maintenance personnel, and the subsequent first device can be based on Analyze network performance anomalies based on its own capability information and network performance anomaly analysis requirement information.

In a possible implementation manner, the designer may design an application for network anomaly analysis (the application may be called a key performance indicator (Key Performance Indicators, KPI) Anomaly application program (Application, APP)). The application can be installed on a module or device that performs network anomaly analysis, and the application can be updated. The module or device installed with the application can be understood as the first device in the embodiment of the present application, and the first device executes the related solutions executed by the first device in FIG. 3 by running the program corresponding to the application.

In this embodiment of the present application, the first device may determine the capability information of the first device itself according to an application used for network anomaly analysis. In a possible implementation manner, the first device may create a KPI anomaly intelligent analysis function management object (for example, it may be called a KPI anomaly function). Further, the first device may create one or more KPI abnormal intelligent analysis capability objects (such as KPI Anomaly Capability) under the KPI abnormal intelligent analysis function management object. The capability information of the first device may include information in at least one of KPI abnormal intelligent analysis function management objects or KPI abnormal intelligent analysis capability objects.

Fig. 4a exemplarily shows a schematic diagram of the relationship between the KPI abnormal intelligent analysis function management object 1 and the KPI abnormal intelligent analysis capability object. As shown in FIG. 4 a , the KPI abnormality intelligent analysis capability object 1 is a child object of the KPI abnormality intelligent analysis function management object.

The parameters included in the KPI abnormal intelligent analysis function management object can be one or more items. An example of the parameters that may be included in the KPI abnormal intelligent analysis function management object is shown in Table 1. KPI abnormal intelligent analysis function management Objects may include some or all of the parameters shown in Table 1.

Table 1 Parameters that may be included in the management object of KPI abnormal intelligent analysis function

Whether it is readable (is readable) in Table 1 is used to describe whether the parameter is open to the caller to read the corresponding value through the corresponding management interface, that is, whether the caller can obtain the parameter in the management object. Among them, whether it is readable (is readable) is T, indicating that the parameter is open to the caller to read the corresponding value through the corresponding management interface, that is, the caller can obtain the parameters in the management object. Among them, whether it is readable (is readable) is F, indicating that the parameter is not open to the caller to read the corresponding value through the corresponding management interface, that is, the caller cannot obtain the parameters in the management object.

Whether it is writable in Table 1 is used to describe whether the parameter is open to the caller to configure the corresponding value through the corresponding management interface, that is, whether the caller can configure the parameters in the management object. Among them, whether writable (is writable) is T means that the parameter is open to the caller to configure the corresponding value through the corresponding management interface, that is, the caller can configure the parameters in the management object. Among them, whether it is writable (is writable) is F, indicating that the parameter is not open to the caller to configure the corresponding value through the corresponding management interface, that is, the caller cannot configure the parameters in the management object.

The value of the KPI exception management function (Management Function, MnF) type (MnF type) in Table 1 may be a value indicating abnormal analysis of network performance.

The KPI exception management function identifier (MnF id) in Table 1 can be used to uniquely identify a KPI exception intelligent analysis function instance.

The KPI exception management function version information (version) in Table 1 can be used to describe the version of the network performance exception analysis function.

The KPI exception management function ANL in Table 1 can be one of the following:

Autonomous Network level 2 (Autonomous Network level 2): means that the first device can identify or detect abnormalities in network performance parameters;

Autonomous Network level 3 (Autonomous Network level 3): means that the first device can demarcate and analyze the root cause of abnormalities in network performance parameters; or

Autonomous Network level 4 (Autonomous Network level 4): means that the first device can provide closed-loop repair suggestions for abnormal network performance parameters.

The parameters included in the KPI abnormal intelligent analysis capability object 1 can be one or more items. Table 2 exemplarily shows an example of the parameters that may be included in the KPI abnormal intelligent analysis capability object 1. The KPI abnormal intelligent analysis capability object 1 may include some or all of the parameters shown in Table 2. The parameters listed in Table 2 may be the capability information of network performance abnormal analysis supported by the first device in the KPI abnormal intelligent analysis capability object 1 .

Table 2 Parameters that may be included in KPI abnormal intelligent analysis capability object 1

Whether it is readable (is readable) and whether it is configurable (is writable) in Table 2 refers to the relevant description in Table 1.

Parameter b1, information of network performance parameters supported by the first device (supported KPI information).

The information of the network performance parameter supported by the first device may include at least one of an identifier of the network performance parameter or category information of the network performance parameter. For relevant content, please refer to the relevant description of the aforementioned parameter a1, which will not be repeated here.

Because the capability information includes information about network performance parameters, the second device can select network performance parameters that meet the needs of operation and maintenance personnel from the capability information, and carry them in the network performance abnormality analysis requirement information, so that the network performance abnormality analysis requirement information It not only matches the capability information of the first device, but also better matches the actual needs of operation and maintenance personnel, and this solution can save network analysis load.

Parameter b2, type information of abnormal thresholds supported by the first device (supported KPI threshold types).

The type information of the abnormal threshold includes static threshold type information or dynamic threshold type information.

The static threshold type information indicates whether the network performance parameter is abnormal according to the abnormal threshold. The dynamic threshold type information indicates to determine the update value of the abnormal threshold, and determine whether the network performance parameter is abnormal according to the updated value of the abnormal threshold. For relevant content, please refer to the relevant content of the aforementioned parameter b2, which will not be repeated here.

Since the capability information includes the abnormal threshold and the type information of the abnormal threshold, the operation and maintenance personnel can combine the capability information to select the type of abnormal threshold that better meets their needs, so that the first device can provide diversified services that better meet the requirements of the operation and maintenance personnel.

Parameter b3, the object information of network performance anomaly analysis supported by the first device (also called supported controlled scopes).

The object information of network performance anomaly analysis supported by the first device may also be understood as the range in which the first device can perform network performance anomaly analysis. The object information of network performance abnormality analysis includes at least one of the following contents: information of geographical area, or information of network equipment. For relevant content, please refer to the relevant description of the aforementioned parameter a3, which will not be repeated here.

Since the capability information includes the object information of abnormal network performance analysis, the operation and maintenance personnel can select the object information of abnormal network performance analysis that is more in line with their own needs in combination with the capability information, and then the first device can only indicate the object information for abnormal network performance analysis This solution can save network analysis load.

Parameter b4, network performance anomaly analysis types supported by the first device (supported KPI anomaly analysis types).

The network performance abnormal analysis type includes: at least one of network performance abnormal detection analysis, network performance abnormal root cause analysis, or network performance abnormal repair suggestion analysis. For relevant content, please refer to the relevant description of the aforementioned parameter a4, which will not be repeated here.

Since the capability information includes network performance abnormality analysis types, the first device can provide operation and maintenance personnel with diversified services, for example, can provide operation and maintenance personnel with network performance abnormality analysis results that are more in line with their actual needs.

Parameter b5, network performance anomaly analysis statistical information (also called supported KPI anomaly analysis statistic results) supported by the first device.

The network performance anomaly analysis statistical information supported by the first device indicates the content that the first device can count and report.

The number of cells with abnormal network performance parameters,

The number of rasters where the network performance parameter is abnormal,

The number of times that network performance parameter exceptions occurred.

For relevant content, please refer to the relevant description of the aforementioned parameter a5, which will not be repeated here.

Because the capability information includes network performance anomaly analysis statistics, the first device can provide operation and maintenance personnel with diverse services, for example, can provide operation and maintenance personnel with network performance anomaly analysis results that better meet their actual needs.

In the above S301, the network performance anomaly analysis requirement information is carried in the KPI requirement request, and the KPI requirement request may also be called KPI information request or KPI InfoReq. The KPI requirement request may also be referred to as a KPI exception analysis and control task management request, and the request may be used to request the first device to create a KPI exception analysis and control task. In the above S302, the first device may create a KPI abnormal analysis control task, for example, may create a KPI abnormal intelligent analysis capability object 2 according to network performance abnormal analysis requirement information. Figure 4b exemplarily shows a schematic diagram of creating a KPI abnormal intelligent analysis capability object 2 on the basis of Figure 4a. As shown in Figure 4b, the KPI abnormal intelligent analysis function management object may include multiple KPI abnormal intelligent analysis capability objects, KPI Abnormal intelligent analysis capability object 1 and KPI abnormal intelligent analysis capability object 2 are child objects of the KPI abnormal intelligent analysis function management object. The configuration parameters of the KPI abnormal intelligent analysis capability object 2 may be configured according to network performance abnormal analysis requirement information.

In a possible implementation manner, the network performance anomaly analysis requirement information may further include identification information of the KPI abnormality intelligent analysis capability object 2, and the identification information is used to indicate to the first device that the network performance anomaly analysis requirement information is for KPI abnormality intelligent analysis For the capability object 2, the configuration parameters of the KPI abnormal intelligent analysis capability object 2 can be determined according to the network performance anomaly analysis requirement information.

Table 3 exemplarily shows several possible configuration parameters of the KPI abnormal intelligent analysis capability object 2 . The parameters included in the KPI abnormal intelligent analysis capability object 2 can be one or more items. Table 3 exemplarily shows an example of the parameters that may be included in the KPI abnormal intelligent analysis capability object 2. The KPI abnormal intelligent analysis capability object 2 may include some or all of the parameters shown in Table 3.

In this embodiment of the present application, the KPI abnormal intelligent analysis capability object 1 or the KPI abnormal intelligent analysis capability object 2 may also be called a management object. Management objects can be used to describe information about a managed object or management task in the management system. The management object information model can be used as an interaction parameter in the management interface. For example, the configuration parameters shown in Table 3 below can be understood as the management object information model. Creating a management object may mean creating management information in the management system, enabling the management system to manage the managed object or perform management tasks according to the management information.

Table 3 exemplarily shows the configuration parameters of KPI abnormal intelligent analysis capability object 2

In order to further introduce the embodiment of the present application, Fig. 4c exemplarily shows a schematic diagram of a possible system architecture provided by the embodiment of the present application. The first device in Fig. 4c may be the first device in the aforementioned Fig. 2a, and in Fig. 4c The second device can be the aforementioned second device in FIG. 2a. As shown in FIG. 4c, the second device may acquire network performance anomaly analysis requirement information. Sending network performance anomaly analysis requirement information to the first device through the interface. The first device can launch the network performance analysis capability, determine the abnormality threshold according to the network performance abnormality analysis requirement information, and further perform abnormality analysis on the network performance parameters in the network performance abnormality analysis requirement information, when it is confirmed that the value of the network performance parameter reaches the abnormality threshold When required, it is determined that the network performance parameter is abnormal. Further, the first device collects statistics on the number of abnormal occurrences of network performance parameters and the like. Further, the first device may perform root cause analysis on the abnormality of the network performance parameters, and may also provide repair suggestions for the abnormality of the network performance. The first device can report the abnormality of network performance, the root cause of the abnormality of network performance parameters, and the repair suggestion to the second device through the interface, so that the operation and maintenance personnel can see the information through the second device.

In a possible implementation manner, the network performance anomaly analysis type in the network performance anomaly analysis requirement information may include network performance anomaly root cause analysis, and the network performance anomaly analysis requirement information may include a first trigger condition. In this case, in the above S302, when the first device determines that the first trigger condition is satisfied, the first device may perform root cause analysis on the abnormality of the network performance parameters, and then carry the root cause analysis result in the The network performance abnormality analysis results are reported, or reported separately.

Figure 5 provides a schematic diagram of the interaction process of another network performance anomaly analysis method on the basis of Figure 3, as shown in Figure 5:

In a possible implementation manner, the network performance anomaly analysis type in the network performance anomaly analysis requirement information may not include network performance anomaly root cause analysis, and the network performance anomaly analysis requirement information may not include the first trigger condition. In this case, in the above S302, the first device may not perform root cause analysis on the abnormality of the network performance parameter. The process may include performing the following content after S303:

S501. The second device may determine that it is necessary to create a task of performing root cause analysis on an abnormality of a network performance parameter.

In this embodiment, the operation and maintenance personnel can further input into the second device according to the actual needs after viewing the abnormal analysis results of the network performance, the requirement of creating a task of performing root cause analysis on the abnormality of the network performance parameters, and then the second device can Determine the need to create a task for root cause analysis of abnormal network performance parameters. In yet another possible implementation manner, the second device may determine that it is necessary to create a The task of performing root cause analysis on abnormalities in network performance parameters.

S502. The second device sends to the first device a first request message for requesting root cause analysis of an abnormality of a network performance parameter.

In a possible implementation manner, the first request message may also include identification information of the KPI abnormal intelligent analysis capability object 2, and the identification information is used to indicate that the first device should perform root cause analysis on the KPI abnormal intelligent analysis capability object 2, that is, Indicates that the root cause analysis task is the task of KPI abnormal intelligent analysis capability object 2.

S503. Based on the first request message, the first device performs root cause analysis on the abnormality of the network performance parameter, and obtains a result of the root cause analysis.

The results of the root cause analysis can refer to the above-mentioned relevant content, and will not be repeated here.

S504. The first device sends a root cause analysis result to the second device.

In a possible implementation manner, the network performance anomaly analysis type in the network performance anomaly analysis requirement information may include network performance anomaly repair suggestion analysis, and the network performance anomaly analysis requirement information may include a second trigger condition, when the first device When it is determined that the second trigger condition is met, a repair suggestion is provided for the abnormality of the network performance, and then the repair suggestion is included in the analysis result of the network performance abnormality for reporting, or reported separately.

In yet another possible implementation manner, the network performance anomaly analysis type in the network performance anomaly analysis requirement information may not include network performance anomaly repair suggestion analysis, and the network performance anomaly analysis requirement information may not include the second trigger condition. In this case, in the above S302, the first device may not perform repair suggestion analysis on abnormal network performance. The process may include performing the following content after S303:

S505. The second device may determine a task that needs to create a suggestion analysis for network performance abnormality repair.

In this embodiment, after viewing the network performance abnormality analysis results, the operation and maintenance personnel can further input and create a demand for network performance abnormality repair suggestion analysis in the second device according to actual needs, and then the second device can determine that it is necessary to create an analysis of network performance abnormalities. Performance anomalies perform the task of remediation suggestion analysis. In yet another possible implementation manner, the second device may, according to the abnormal network performance analysis result and the preset fourth trigger condition, determine that it is necessary to create Perform repair suggestion analysis on abnormal network performance.

S506. The second device sends to the first device a second request message for requesting analysis of a repair suggestion for abnormal network performance.

In a possible implementation manner, the second request message may also include identification information of the KPI abnormal intelligent analysis capability object 2, and the identification information is used to indicate that the first device should perform repair suggestion analysis on the KPI abnormal intelligent analysis capability object 2, that is, Indicates that the repair suggestion analysis task is the task of KPI abnormal intelligent analysis capability object 2.

S507. Based on the second request message, the first device performs a repair suggestion analysis on the network performance abnormality, and obtains a repair suggestion.

Repair suggestions may include software restart, parameter reconfiguration, capacity expansion, etc., for example.

S508, the first device sends a repair suggestion to the second device.

It should be noted that the above solutions from S501 to S504 and the solutions from S505 to S508 may exist in the same method flow, or may not exist in the same method flow. The network performance abnormality analysis type may include network performance abnormality root cause analysis, and the network performance abnormality analysis requirement information may include a first trigger condition. However, the network performance anomaly analysis type in the above network performance anomaly analysis requirement information does not include network performance anomaly repair suggestion analysis, and the network performance anomaly analysis requirement information does not include the second trigger condition. In this case, in the above S302, when the first device determines that the first trigger condition is satisfied, the first device may perform root cause analysis on the abnormality of the network performance parameters, and then carry the root cause analysis result in the The network performance abnormality analysis results are reported, or reported separately. S505-S508 may be executed after S303. There are many ways to combine, so I won't list them one by one here.

Through the schemes from S501 to S504 and the schemes from S505 to S508, the operation and maintenance personnel can more strictly control the timing of root cause analysis and repair suggestion analysis of the first device, so that the network performance abnormality analysis can be more strictly controlled.

It can be understood that, in order to realize the functions in the foregoing embodiments, the apparatus includes hardware structures and/or software modules corresponding to each function. Those skilled in the art should easily realize that the present application can be implemented in the form of hardware or a combination of hardware and computer software with reference to the units and method steps of the examples described in the embodiments disclosed in the present application. Whether a certain function is executed by hardware or computer software drives the hardware depends on the specific application scenario and design constraints of the technical solution.

FIG. 6 , FIG. 7 and FIG. 8 are schematic structural diagrams of possible devices provided by the embodiments of the present application. These devices can be used to implement the functions of the first device in the above method embodiments, and therefore can also achieve the beneficial effects of the above method embodiments. These devices can also be used to implement the functions of the second device in the above method embodiments, so the beneficial effects of the above method embodiments can also be realized. In the embodiment of the present application, the device may be the first device as shown in FIG. 2a, or may be a module (such as a chip) applied to the first device. In the embodiment of the present application, the device may be the second device as shown in Fig. 2a, or may be a module (such as a chip) applied to the second device.

As shown in FIG. 6 , the device 1300 includes a processing unit 1310 and a transceiver unit 1320 . The device 1300 is configured to realize the function of the first device in the method embodiment shown in at least one of FIG. 3 or FIG. 5 above.

When the device 1300 is used to implement the function of the first device in at least one of the method embodiments shown in FIG. 3 or FIG. 5: the processing unit 1310 is configured to perform through the transceiver unit 1320: receive network performance abnormality analysis requirement information, according to Network performance anomaly analysis requirement information, analyze network performance parameters, obtain network performance anomaly analysis result; send network performance anomaly analysis result.

When the device 1300 is used to implement the function of the first device in at least one of the method embodiments shown in FIG. 3 or FIG. 5: the processing unit 1310 is also used to execute through the transceiver unit 1320: the type information of the abnormal threshold includes static In the case of the threshold type information, it is determined whether the network performance parameter is abnormal according to the abnormal threshold.

When the device 1300 is used to implement the function of the first device in at least one of the method embodiments shown in FIG. 3 or FIG. 5 : the processing unit 1310 is also used to execute through the transceiver unit 1320: the abnormal threshold type information includes a dynamic threshold In the case of type information, determine the update value of the abnormal threshold, and determine whether the network performance parameter is abnormal according to the updated value of the abnormal threshold.

When the device 1300 is used to realize the function of the first device in at least one of the method embodiments shown in FIG. 3 or FIG. 5 : the processing unit 1310 is also used to execute through the transceiver unit 1320: the type information of network performance anomaly analysis includes In the case of network performance abnormal root cause analysis type and the first trigger condition, if the abnormal network performance parameter meets the first trigger condition, the root cause analysis of the abnormal network performance parameter is performed to obtain the root cause analysis Results; network performance anomaly analysis results include root cause analysis results.

When the device 1300 is used to realize the function of the first device in at least one of the method embodiments shown in FIG. 3 or FIG. 5 : the processing unit 1310 is also used to execute through the transceiver unit 1320: the type information of network performance anomaly analysis includes In the case of network performance abnormal repair suggestion analysis type and the second trigger condition: when the abnormal network performance parameter meets the second trigger condition, the repair suggestion is determined according to the abnormal network performance parameter; the abnormal network performance analysis result Include remediation recommendations from root cause analysis results.

When the device 1300 is used to implement the function of the first device in at least one of the method embodiments shown in FIG. 3 or FIG. 5: send a first message, the first message includes capability information, and the capability information indicates that the supported network performance is abnormal Analyzed capability information; network performance anomaly analysis requirement information is set based on capability information.

As shown in FIG. 6 , the device 1300 includes a processing unit 1310 and a transceiver unit 1320 . The device 1300 is configured to realize the function of the second device in the method embodiment shown in at least one of FIG. 3 or FIG. 5 above.

When the device 1300 is used to realize the function of the second device in at least one of the method embodiments shown in FIG. 3 or FIG. 5: the processing unit 1310 is used to execute through the transceiver unit 1320: sending network performance anomaly analysis requirement information, receiving Network performance anomaly analysis results.

When the device 1300 is used to realize the function of the second device in at least one of the method embodiments shown in FIG. 3 or FIG. It includes capability information, and the capability information indicates the capability information of the network performance abnormality analysis supported; the network performance abnormality analysis requirement information is determined according to the capability information.

Relevant content in the above solution, and a more detailed description of the processing unit 1310 and the transceiver unit 1320 can be directly obtained by referring to the relevant description in at least one of the method embodiments shown in FIG. 3 or FIG. 5 , and details are not repeated here.

As shown in FIG. 7 , the device 1400 includes a processing circuit 1410 and an interface circuit 1420 . The processing circuit 1410 and the interface circuit 1420 are coupled to each other. It can be understood that the interface circuit 1420 may be a transceiver or an input-output interface. Optionally, the apparatus 1400 may further include a memory for storing instructions executed by the processing circuit, or storing input data required by the processing circuit 1410 to execute the instructions, or storing data generated after the processing circuit 1410 executes the instructions.

When the device 1400 is used to implement at least one of the methods shown in FIG. 3 or FIG. 5 , the processing circuit 1410 is used to implement the functions of the processing unit 1310 described above, and the interface circuit 1420 is used to implement the functions of the transceiver unit 1320 described above.

As shown in FIG. 8 , the device 1500 includes a processor 1510 and a communication interface 1520 . The processor 1510 and the communication interface 1520 are coupled to each other. It can be understood that the communication interface 1520 may be a transceiver or an input and output interface. Optionally, the apparatus 1500 may further include a memory 1530 for storing instructions executed by the processor 1510 or storing input data required by the processor 1510 to execute the instructions or storing data generated by the processor 1510 after executing the instructions.

When the device 1500 is used to implement at least one of the methods shown in FIG. 3 or FIG. 5 , the processor 1510 is used to implement the functions of the processing unit 1310 , and the communication interface 1520 is used to implement the functions of the transceiver unit 1320 .

When the device 1500 is used to realize the function of the first device in at least one of the method embodiments shown in FIG. 3 or FIG. 5: the processor 1510 is configured to perform through the communication interface 1520: receive network performance abnormality analysis requirement information, according to Network performance anomaly analysis requirement information, analyze network performance parameters, obtain network performance anomaly analysis result; send network performance anomaly analysis result.

When the device 1500 is used to realize the function of the second device in at least one of the method embodiments shown in FIG. 3 or FIG. 5: the processor 1510 is used to execute through the communication interface 1520: sending network performance abnormality analysis requirement information, receiving Network performance anomaly analysis results.

It can be understood that the processor in the embodiments of the present application can be a central processing unit (Central Processing Unit, CPU), and can also be other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), application-specific integrated circuits (Application Specific Integrated Circuit, ASIC), Field Programmable Gate Array (Field Programmable Gate Array, FPGA) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. A general-purpose processor can be a microprocessor, or any conventional processor.

According to the method provided in the embodiment of the present application, the present application also provides a computer program product, the computer program product including: a computer program or instruction, when the computer program or instruction is run on the computer, the computer is made to execute the computer program shown in Figure 3 or Figure 3. The method of any one of the embodiments in at least one of the shown embodiments in 5.

According to the method provided in the embodiment of the present application, the present application also provides a computer-readable storage medium, the computer-readable medium stores a program or an instruction, and when the program or instruction is run on the computer, the computer is made to execute the The method of any one of the embodiments shown in at least one of the embodiments in FIG. 5 .

According to the method provided in the embodiment of the present application, the present application further provides a chip system, where the chip system may include a processor. The processor is coupled with the memory, and may be used to execute the method of any one of the embodiments shown in at least one of the embodiments shown in FIG. 3 or FIG. 5 . Optionally, the chip system further includes a memory. Memory, used to store computer programs (also called code, or instructions). The processor is configured to call and run the computer program from the memory, so that the device installed with the system-on-a-chip executes the method of any one of the embodiments shown in at least one of the embodiments shown in FIG. 3 or FIG. 5 .

According to the method provided in the embodiment of the present application, the present application further provides a system, which includes the foregoing first device and the second device.

The method steps in the embodiments of the present application may be implemented by means of hardware, or may be implemented by means of a processor executing software instructions. Software instructions can be composed of corresponding software modules, and software modules can be stored in random access memory (Random Access Memory, RAM), flash memory (flash), read-only memory (Read-Only Memory, ROM), programmable read-only memory , erasable programmable read-only memory (Erasable Programmable ROM, EPROM), electrically erasable programmable read-only memory, registers, hard disk, solid-state drive (solid-state drive, SSD), mobile hard disk, portable read-only memory ( Compact Disc Read-Only Memory, CD-ROM) or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be a component of the processor. The processor and storage medium can be located in the ASIC. Alternatively, the ASIC may be located in the device. Of course, the processor and the storage medium may also exist in the device as discrete components.

In the above embodiments, all or part of them may be implemented by software, hardware, firmware or any combination thereof. When implemented using software, it may be implemented in whole or in part in the form of a computer program product. A computer program product consists of one or more computer programs or instructions. When the computer programs or instructions are loaded and executed on the computer, the processes or functions of the embodiments of the present application are executed in whole or in part. The computer can be a general purpose computer, special purpose computer, computer network, network equipment, user equipment, or other programmable apparatus. Computer programs or instructions may be stored in or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, computer programs or instructions may be Wired or wireless transmission to another website site, computer, server or data center. A computer-readable storage medium may be any available medium that can be accessed by a computer, or a data storage device such as a server or a data center integrating one or more available media. Available media may be magnetic media, such as floppy disks, hard disks, and magnetic tapes; optical media, such as digital video discs; or semiconductor media, such as solid-state hard disks. The computer readable storage medium may be a volatile or a nonvolatile storage medium, or may include both volatile and nonvolatile types of storage media.

In each embodiment of the present application, if there is no special explanation and logical conflict, the terms and/or descriptions between different embodiments are consistent and can be referred to each other, and the technical features in different embodiments are based on their inherent Logical relationships can be combined to form new embodiments.

In the present application, "plurality" means two or more. "And/or" describes the association relationship of associated objects, indicating that there may be three types of relationships, for example, A and/or B, which can mean: A exists alone, A and B exist simultaneously, and B exists alone, where A, B can be singular or plural. In the text description of this application, the character "/" generally indicates that the contextual objects are an "or" relationship; in the formulas of this application, the character "/" indicates that the contextual objects are a "division" Relationship. "Including at least one of A, B or C" may mean: including A; including B; including C; including A and B; including A and C; including B and C; including A, B, and C.

It can be understood that the various numbers involved in the embodiments of the present application are only for convenience of description, and are not used to limit the scope of the embodiments of the present application. The size of the serial numbers of the above-mentioned processes does not mean the order of execution, and the execution order of each process should be determined by its functions and internal logic.

Claims

A method for abnormal network performance analysis, characterized in that, comprising:

Receiving network performance anomaly analysis requirement information; the network performance anomaly analysis requirement information includes at least one of network performance parameter information or network performance anomaly analysis type; the network performance parameter information includes network performance parameter identification or network performance At least one of the parameter category information; the network performance abnormal analysis type includes: at least one of network performance abnormal detection analysis, network performance abnormal root cause analysis, or network performance abnormal repair suggestion analysis;

Analyzing the network performance parameters according to the network performance anomaly analysis requirement information to obtain a network performance anomaly analysis result;

Sending the abnormal analysis result of the network performance.
The method according to claim 1, wherein the network performance anomaly analysis requirement information further includes an abnormal threshold corresponding to the network performance parameter and type information of the abnormal threshold;

The type information of the abnormal threshold includes static threshold type information, or dynamic threshold type information;

The analyzing the network performance parameters according to the network performance abnormality analysis requirement information to obtain a network performance abnormality analysis result includes:

If the type information of the abnormal threshold includes static threshold type information, determine whether the network performance parameter is abnormal according to the abnormal threshold; or,

If the abnormal threshold type information includes dynamic threshold type information, determine the abnormal threshold update value, and determine whether the network performance parameter is abnormal according to the abnormal threshold update value.
The method according to claim 1 or 2, wherein the network performance abnormality requirement information further includes: object information of network performance abnormality analysis;

The object information of the abnormal network performance analysis includes at least one of the following:

geographic area information; or,

Network device information.
The method according to any one of claims 1-3, wherein the network performance anomaly analysis requirement information further includes at least one of the following:

A first trigger condition for root cause analysis of the abnormal occurrence of the network performance parameter; or,

A second trigger condition for providing a repair suggestion for the abnormality of the network performance parameter.
The method according to claim 4, wherein the type information of the abnormal network performance analysis includes the root cause analysis type of the abnormal network performance and the first trigger condition:

The analyzing the network performance parameters according to the network performance abnormality analysis requirement information to obtain a network performance abnormality analysis result includes:

When the abnormality of the network performance parameter satisfies the first trigger condition, performing root cause analysis on the abnormality of the network performance parameter to obtain a root cause analysis result; the network performance abnormality analysis result includes The root cause analysis results.
The method according to claim 4 or 5, wherein the type information of the abnormal network performance analysis includes the analysis type of the abnormal network performance repair suggestion and the second trigger condition:

According to the network performance abnormality analysis requirement information, the network performance parameters are analyzed, and the network performance abnormality analysis result is obtained, including:

When the abnormality of the network performance parameter satisfies the second trigger condition, a repair suggestion is determined according to the abnormality of the network performance parameter; the abnormality analysis result of the network performance includes the repair of the root cause analysis result suggestion.
The method according to any one of claims 1-6, wherein the network performance anomaly analysis requirement information further includes network performance anomaly analysis statistical information;

The network performance anomaly analysis statistical information indicates the content included in the network performance anomaly analysis result;

The network performance abnormal analysis statistical information includes at least one of the following: the number of cells with abnormal network performance parameters, the number of grid cells with abnormal network performance parameters, the number of network elements with abnormal network performance parameters, or network The number of abnormal performance parameters.
The method according to any one of claims 1-7, wherein before receiving the network performance abnormality analysis request, further comprising:

Sending a first message, where the first message includes capability information, and the capability information indicates capability information of supported network performance anomaly analysis; the network performance anomaly analysis requirement information is set according to the capability information.
A method for abnormal network performance analysis, characterized in that, comprising:

Send network performance anomaly analysis requirement information; the network performance anomaly analysis requirement information indicates the requirements satisfied by analyzing the network performance parameters; the network performance anomaly analysis requirement information includes network performance parameter information or network performance anomaly analysis type at least one of; the information of the network performance parameter includes at least one of the identification of the network performance parameter or the category information of the network performance parameter; the analysis type of the network performance anomaly includes: network performance anomaly detection analysis, network performance anomaly Cause analysis, or at least one of network performance anomaly repair suggestion analysis;

Receive network performance anomaly analysis results.
The method according to claim 9, wherein the network performance anomaly analysis requirement information further includes an abnormal threshold corresponding to the network performance parameter and type information of the abnormal threshold;

The type information of the abnormal threshold includes static threshold type information, or dynamic threshold type information;

The static threshold type information indicates whether the network performance parameter is abnormal according to the abnormal threshold;

The dynamic threshold type information indicates to determine the update value of the abnormal threshold, and determine whether the network performance parameter is abnormal according to the updated value of the abnormal threshold.
The method according to claim 9 or 10, wherein the network performance anomaly requirement information further includes: object information of network performance anomaly analysis, and the object information of network performance anomaly analysis indicates a data source of network performance anomaly analysis ;

The object information of the abnormal network performance analysis includes at least one of the following:

geographic area information; or,

Network device information.
The method according to any one of claims 9-11, wherein the network performance anomaly analysis requirement information further includes at least one of the following:

A first trigger condition for root cause analysis of the abnormal occurrence of the network performance parameter; or,

A second trigger condition for providing a repair suggestion for the abnormality of the network performance parameter.
The method according to any one of claims 9-12, wherein the network performance anomaly analysis requirement information further includes network performance anomaly analysis statistical information;

The network performance anomaly analysis statistical information indicates the content included in the network performance anomaly analysis result;

The network performance abnormal analysis statistical information includes at least one of the following: the number of cells with abnormal network performance parameters, the number of grid cells with abnormal network performance parameters, the number of network elements with abnormal network performance parameters, or network The number of abnormal performance parameters.
The method according to any one of claims 9-13, wherein, before sending the network performance abnormality analysis request, further comprising:

Receive a first message, where the first message includes capability information, where the capability information indicates capability information supporting network performance anomaly analysis;

The network performance anomaly analysis requirement information is determined according to the capability information.
A network performance anomaly analysis device, characterized in that it includes a processing unit and a transceiver unit;

The transceiver unit is used to send and receive data;

The processing unit is configured to execute the method described in any one of claims 1-8 above, or execute the method described in any one of claims 9-14 through the transceiver unit.
A network performance anomaly analysis device, characterized in that it includes a memory and a processor coupled to the memory;

said memory for storing computer programs or instructions;

The processor is configured to execute computer programs or instructions in the memory, so that the communication device executes the method according to any one of claims 1-14.
A computer-readable storage medium, characterized in that the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are called by a computer, the computer-readable storage medium according to any one of claims 1-14 method is executed.