CN112311600A - Strategy suggestion generation method and device based on network data analysis - Google Patents
Strategy suggestion generation method and device based on network data analysis Download PDFInfo
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Abstract
The embodiment of the application provides a strategy suggestion generation method and device based on network data analysis, electronic equipment and a computer readable storage medium, and relates to the field of network data analysis. The method comprises the following steps: receiving a network data analysis request sent by a first network element in a core network, responding to the network data analysis request, and performing data analysis on the acquired network data; and when the analysis result output type information comprises an identifier corresponding to the output strategy suggestion, performing first processing on the network data, and generating the strategy suggestion aiming at data analysis based on the screened abnormal data. According to the method and the device, a network data analysis request sent by a first network element in a core network is received, and when the analysis result output type information in the network data analysis request contains an identifier corresponding to an output strategy suggestion, the acquired network data is subjected to first processing to generate the strategy suggestion aiming at data analysis. Thereby improving the intelligent analysis level of the NWDAF network element.
Description
Technical Field
The present application relates to the field of data analysis technologies, and in particular, to a policy suggestion generation method and apparatus based on network data analysis, an electronic device, and a computer-readable storage medium.
Background
The NWDAF (network data analysis function) is an intelligent network element defined by 3GPP, and can provide intelligent analysis services for other network elements by using the technical capabilities of big data and AI. Currently, the service provided by the NWDAF defined by 3GPP mainly is an analysis result, but only depends on the analysis result provided by the NWDAF, and is far from the purpose of intelligent management. After the requester takes the analysis result, what policy is taken, and what operation or action is performed depends on the requester itself.
Disclosure of Invention
The application provides a strategy suggestion generation method and device based on network data analysis, electronic equipment and a computer readable storage medium, which are used for solving the technical problem of intelligent analysis based on network data.
In a first aspect, a policy suggestion generation method based on network data analysis is provided, which is applied to a network data analysis function NWDAF network element, and includes:
receiving a network data analysis request sent by a first network element in a core network, wherein the network data analysis request at least comprises analysis result output type information, and the first network element is other than an NWDAF network element;
responding to a network data analysis request, and performing data analysis on the acquired network data;
when the analysis result output type information comprises an identifier corresponding to the output strategy suggestion, performing first processing on the network data, wherein the first processing is used for screening abnormal data in the network data, wherein the abnormal data is beyond a preset standard;
and generating a strategy suggestion aiming at data analysis based on the screened abnormal data.
In one possible implementation, before performing data analysis on the acquired network data, the method further includes:
and acquiring at least one type of network data corresponding to the analysis service type information from at least one network element in the core network and outside the core network according to the analysis service type information included in the network data analysis request.
In another possible implementation, the first processing the network data includes:
and comparing the acquired at least one network data with the corresponding preset threshold value range respectively, and screening abnormal data outside the preset threshold value range.
In yet another possible implementation, generating the policy suggestion based on the screened outlier data comprises:
and inquiring corresponding strategy suggestions in a preset strategy suggestion database according to the screened abnormal data to generate strategy suggestions for data analysis.
In yet another possible implementation, the network data analysis request further includes requester information, and the method further includes:
and sending the strategy suggestion to the requester through strategy suggestion signaling so as to execute the corresponding strategy suggestion.
In yet another possible implementation, the data analysis of the acquired network data includes at least one of:
performing user experience evaluation analysis on the network data;
network congestion analysis is carried out on the network data;
carrying out slice load analysis on the network data;
and carrying out user behavior analysis on the network data.
In a second aspect, a policy suggestion generation apparatus based on network data analysis is provided, the apparatus comprising:
a receiving module, configured to receive a network data analysis request sent by a first network element in a core network, where the network data analysis request at least includes analysis result output type information, and the first network element is another network element except an NWDAF network element;
the data analysis module is used for responding to the network data analysis request and carrying out data analysis on the acquired network data;
the first processing module is used for performing first processing on the network data when the analysis result output type information comprises an identifier corresponding to the output strategy suggestion, and the first processing is used for screening abnormal data in the network data, wherein the abnormal data is beyond a preset standard;
and the generating module is used for generating a strategy suggestion aiming at data analysis based on the screened abnormal data.
In one possible implementation, the apparatus further includes:
and the acquisition module acquires at least one network data corresponding to the analysis service type information from at least one network element in the core network and outside the core network according to the analysis service type information included in the network data analysis request.
In a third aspect, an electronic device is provided, which includes:
one or more processors;
a memory;
one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to: executing the network data analysis based policy proposal generation method according to any of claims 1 to 6.
For example, in a third aspect of the present application, there is provided a computing device comprising: the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction causes the processor to execute the operation corresponding to the network data analysis-based policy suggestion generation method as shown in the first aspect of the application.
In a fourth aspect, a computer readable storage medium is provided, the computer program, when executed by a processor, implementing the network data analysis based policy suggestion generation method of any one of claims 1-6.
For example, in a fourth aspect of the embodiments of the present application, a computer-readable storage medium is provided, on which a computer program is stored, and the computer program, when executed by a processor, implements the policy suggestion generation method based on network data analysis shown in the first aspect of the present application.
The beneficial effect that technical scheme that this application provided brought is:
according to the method and the device, a network data analysis request sent by a first network element in a core network is received, and when the analysis result output type information in the network data analysis request contains an identifier corresponding to an output strategy suggestion, the acquired network data is subjected to first processing to generate the strategy suggestion aiming at data analysis. Thereby improving the intelligent analysis level of the NWDAF network element.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings used in the description of the embodiments of the present application will be briefly described below.
Fig. 1 is a schematic flowchart of a policy suggestion generation method based on network data analysis according to an embodiment of the present application;
fig. 2 is a second schematic flowchart of a policy suggestion generation method based on network data analysis according to an embodiment of the present application;
fig. 3 is a schematic diagram illustrating a principle of user experience evaluation analysis of an NWDAF network element according to an embodiment of the present application;
fig. 4 is a schematic view illustrating a slice load analysis principle of an NWDAF network element according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a policy suggestion generation apparatus based on network data analysis according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of an electronic device for generating a policy suggestion based on network data analysis according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of explaining the present application and are not to be construed as limiting the present invention.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. As used herein, the term "and/or" includes all or any element and all combinations of one or more of the associated listed items.
For better understanding and description of the solution of the embodiments of the present application, the following briefly describes the technical terms involved in the embodiments of the present application:
NWDAF: network Data Analytics Function.
AF: application Function, Application Function.
UE: user Equipment, User terminal.
UPF: user Plane Function.
SMF: session Management Function, Session Management Function.
OMC: operations & Maintenance Center, Operations and Operations Center.
PCF: policy Control Function, Policy Control Function.
AMF: access and Mobility management function.
EMS: element Management Systems, network Element Management system
NSSF: the Network Slice Selection Function.
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
The NWDAF (network data analysis function) is an intelligent network element defined by 3GPP, and can provide intelligent analysis services for other network elements by using the technical capabilities of big data and AI. Currently, the service provided by the NWDAF defined by 3GPP mainly is an analysis result, but only depends on the analysis result provided by the NWDAF, and is far from the purpose of intelligent management. After the requester takes the analysis result, what policy is taken, and what operation or action is performed depends on the requester itself.
According to the method and the device, a network data analysis request sent by a first network element in a core network is received, and when the analysis result output type information in the network data analysis request contains an identifier corresponding to an output strategy suggestion, the acquired network data is subjected to first processing to generate the strategy suggestion aiming at data analysis. Thereby improving the intelligent analysis level of the NWDAF network element.
The following describes the technical solutions of the present application and how to solve the above technical problems with specific embodiments. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
The embodiment of the application provides a strategy suggestion generation method based on network data analysis, and an execution main body of the method is an NWDAF network element in a core network. As shown in fig. 1, which is one of the flow diagrams of a policy suggestion generation method based on network data analysis provided in the embodiment of the present application, the method includes the following steps:
s101: receiving a network data analysis request sent by a first network element in a core network, wherein the network data analysis request at least comprises analysis result output type information.
Specifically, the network data analysis request at least includes analysis result output type information, and the analysis result output type information may be used to identify an output information type included in the output analysis result, where the output information type in the analysis result may include a data parameter result or a score evaluation result based on network data analysis, for example, in a scenario of analyzing a network load, the analysis result may include a data parameter result, and the load rate is 50%, for example. As another example, in the context of rating user experience analysis, a score rating result, e.g., 80, may be included in the analysis results. Furthermore, the output information category in the analysis result may further include output policy suggestions for network data analysis. Therefore, the analysis result output type information includes a predefined identifier corresponding to the analysis result output type information, for example, an identifier corresponding to the output data parameter result, and an identifier corresponding to the output policy suggestion, where the predefined identifier may be represented by, for example, numbers, letters, chinese and english characters, and the like. For example, the output data parameter results or score evaluation results may be identified by 00 and the output policy suggestions may be identified by 10. It should be noted that the analysis result output type information may include only the output data parameter result or the score evaluation result, for example, only the identifier 00. Alternatively, only output policy suggestions are included, e.g. only the identification 10. It may also include outputting both data parameter results or score evaluation results and policy recommendations, e.g., including both identification 00 and identification 10.
In addition, the first network element is other network elements except for the NWDAF network element. For example, the UPF network element, the SMF network element, the AMF network element, and the like, in addition, the network identifier of the first network element may be identified in a plurality of predefined forms, for example, specifically, names UPF, SMF, AMF, and the like of the network elements, and may also be predefined numerical or alphabetical identifiers corresponding to each network element, for example, the UPF network element is identified in 001.
S102: and responding to the network data analysis request, and performing data analysis on the acquired network data.
Specifically, before performing data analysis on the acquired network data, at least one type of network data corresponding to the analysis service type information may be acquired from at least one network element in the core network and outside the core network according to the analysis service type information included in the network data analysis request.
The analysis service type information may include, for example, identifiers respectively corresponding to user experience evaluation analysis, network congestion analysis, slice load analysis, user behavior analysis, and the like. Further, in response to the network data analysis request, performing corresponding user experience evaluation analysis, network congestion analysis, slice load analysis and user behavior analysis on the acquired network data.
S103: and when the analysis result output type information comprises the identification corresponding to the output strategy suggestion, performing first processing on the network data.
Specifically, the first processing is used for screening abnormal data in the network data, which is beyond a preset standard. The preset criterion may be a preset range of values, one or more preset values, a functional relationship required to be satisfied, or the like.
S104: and generating a strategy suggestion aiming at data analysis based on the screened abnormal data.
According to the method and the device, a network data analysis request sent by a first network element in a core network is received, and when the analysis result output type information in the network data analysis request contains an identifier corresponding to an output strategy suggestion, the acquired network data is subjected to first processing to generate the strategy suggestion aiming at data analysis. Thereby improving the intelligent analysis level of the NWDAF network element.
In an embodiment of the present application, a possible implementation manner is provided, as shown in fig. 2, which is a second flowchart of a policy suggestion generation method based on network data analysis provided in the embodiment of the present application, and the method includes the following steps:
s201: receiving a network data analysis request sent by a first network element in a core network.
The network data analysis request at least comprises analysis result output type information, and the first network element is other network elements except for the NWDAF network element.
Step S201 is the same as step S101 in the above embodiment, and is not described again here.
S202: and acquiring at least one type of network data corresponding to the analysis service type information from at least one network element in the core network and outside the core network according to the analysis service type information included in the network data analysis request.
The analysis service type information may include, for example, identifiers respectively corresponding to user experience evaluation analysis, network congestion analysis, slice load analysis, user behavior analysis, and the like.
For example, as shown in fig. 3, which is a schematic view illustrating a user experience evaluation analysis principle of an NWDAF network element provided in the embodiment of the present application, as shown in the figure, a wireless side includes a user terminal UE, a base station, and an OMC network element, a core network includes a UPF network element, an SMF network element, an AMF network element, a PCF network element, and an NWDAF network element, and an application end includes an equipment manufacturer and an AF network element. The first network element may include any one of a UPF network element, an SMF network element, and an AMF network element in a core network, for example.
When the analysis service type information includes an identifier corresponding to the user experience evaluation analysis, the NWDAF network element may obtain at least one type of network data from at least one network element in the core network and outside the core network, for example, obtain control information data such as RSRP (Reference Signal Receiving Power), RSRQ (Reference Signal Receiving Quality), and the like from the OMC network element, may also obtain property index data such as bit rate, time delay, and the like from the UPF network element, and may also obtain attribute information data such as network slice information, user location, and the like from the SMF network element and the AMF network element. And also can obtain feedback information data such as MOS (Mean Opinion Score, a metric of voice quality) for correcting the analysis result from the AF network element.
As another example, as shown in fig. 4, which is a schematic view illustrating a slice load analysis principle of an NWDAF network element provided in the embodiment of the present application, as shown in the figure, a wireless side includes a user terminal UE and a base station, and a core network includes an EMS network element, an AMF network element, an NSSF network element, and an NWDAF network element, where a first network element may include any one of the EMS network element, the NSSF network element, and the AMF network element in the core network.
When the analysis service type information includes an identifier corresponding to the slice load analysis, the NWDAF network element may obtain slice resource usage data, such as hardware utilization, from, for example, an EMS network element.
S203: and responding to the network data analysis request, and performing data analysis on the acquired network data.
After at least one network data corresponding to the analysis service type information is acquired in step S202, the acquired network data may be subjected to data analysis corresponding to the analysis service type information, for example, the network data may be subjected to user experience evaluation analysis, network congestion analysis, slice load analysis, user behavior analysis, and the like
S204: and when the analysis result output type information comprises an identifier corresponding to the output strategy suggestion, comparing the acquired at least one type of network data with a corresponding preset threshold range respectively, and screening abnormal data outside the preset threshold range.
S205: and inquiring corresponding strategy suggestions in a preset strategy suggestion database according to the screened abnormal data to generate strategy suggestions for data analysis.
Specifically, for example, in the user experience evaluation analysis scenario of the NWDAF network element shown in fig. 3, network data such as the obtained RSRP, RSRQ, bit rate, and time delay are respectively compared with a preset threshold range corresponding to each of the above data, and abnormal data outside the preset threshold range is screened out, for example, when the screened RSRP is lower than the preset threshold range corresponding to the RSRP, a corresponding policy suggestion may be queried in a preset policy suggestion database according to the numerical range of the RSRP, for example, the corresponding suggestion policy may be to increase cell coverage. For another example, in the slice load analysis scenario of the NWDAF network element shown in fig. 4, the obtained hardware utilization rate is compared with the corresponding preset threshold range, and it is found that the hardware utilization rate is lower than the preset threshold range, and a policy suggestion corresponding to the above hardware utilization rate numerical range is queried in a preset policy suggestion database, for example, the policy suggestion may be a policy suggestion allowing a cell user to access.
In addition, it should be noted that the preset strategy suggestion database may be generated by artificial intelligence analysis or generated according to preset expert suggestions.
S206: and sending the strategy suggestion to the requester through strategy suggestion signaling so as to execute the corresponding strategy suggestion.
Specifically, the network data analysis request may further include information of a requester, for example, the requester may be a first network element, and the policy suggestion generated in step S205 may be sent to the requester through policy suggestion signaling, for example, the policy suggestion signaling may be sent to the requester separately, and in addition, the policy suggestion signaling may also be included in the analysis result signaling and sent to the requester together with, for example, a data parameter result and the like included in the analysis result.
According to the method and the device, a network data analysis request sent by a first network element in a core network is received, when the analysis result output type information in the network data analysis request contains an identifier corresponding to an output strategy suggestion, at least one kind of acquired network data is compared with a corresponding preset threshold range respectively, abnormal data outside the preset threshold range are screened out, and a strategy suggestion aiming at data analysis is generated based on the screened abnormal data. Thereby improving the intelligent analysis level of the NWDAF network element.
An embodiment of the present application provides a policy suggestion generation apparatus based on network data analysis, as shown in fig. 5, which is a schematic structural diagram of the policy suggestion generation apparatus based on network data analysis provided in the embodiment of the present application, where the data information analysis apparatus 50 in the network may include: a receiving module 501, a data analyzing module 502, a first processing module 503, a generating module 504, wherein,
a receiving module 501, configured to receive a network data analysis request sent by a first network element in a core network, where the network data analysis request at least includes analysis result output type information, and the first network element is another network element except an NWDAF network element.
A data analysis module 502, configured to perform data analysis on the acquired network data in response to the network data analysis request.
Specifically, the obtained network data may be subjected to user experience evaluation analysis, network congestion analysis, slice load analysis, user behavior analysis, and the like
The first processing module 503 is configured to, when the analysis result output type information includes an identifier corresponding to the output policy suggestion, perform first processing on the network data, where the first processing is used to screen abnormal data in the network data, where the abnormal data is outside a preset standard.
The first processing module 503 may be specifically configured to, when the analysis result output type information includes an identifier corresponding to the output policy suggestion, compare the acquired at least one type of network data with a corresponding preset threshold range, and screen out abnormal data outside the preset threshold range.
A generating module 504, configured to generate a policy suggestion for data analysis based on the screened abnormal data.
The generating module 504 is specifically configured to query, according to the screened abnormal data, a corresponding policy suggestion in a preset policy suggestion database to generate a policy suggestion for data analysis.
In addition, the apparatus may further include an obtaining module configured to obtain, according to the analysis service type information included in the network data analysis request, at least one type of network data corresponding to the analysis service type information from at least one network element in the core network and outside the core network.
And a sending module, configured to send the policy suggestion to the requester through the policy suggestion signaling to execute the corresponding policy suggestion.
Specifically, the network data analysis request may further include requester information, for example, the requester may be the first network element. For example, the policy suggestion signaling may be sent to the requesting party separately, or the policy suggestion signaling may be included in the analysis result signaling and sent to the requesting party together with, for example, the data parameter result included in the analysis result.
The policy suggestion generation device based on network data analysis of this embodiment may execute the policy suggestion generation method based on network data analysis shown in the foregoing embodiments of this application, and the implementation principles thereof are similar, and are not described herein again.
According to the method and the device, a network data analysis request sent by a first network element in a core network is received, and when the analysis result output type information in the network data analysis request contains an identifier corresponding to an output strategy suggestion, the acquired network data is subjected to first processing to generate the strategy suggestion aiming at data analysis. Thereby improving the intelligent analysis level of the NWDAF network element.
An embodiment of the present application provides an electronic device, including: a memory and a processor; at least one program stored in the memory for execution by the processor, which when executed by the processor, implements: according to the method and the device, a network data analysis request sent by a first network element in a core network is received, and when the analysis result output type information in the network data analysis request contains an identifier corresponding to an output strategy suggestion, the acquired network data is subjected to first processing to generate the strategy suggestion aiming at data analysis. Thereby improving the intelligent analysis level of the NWDAF network element.
In an alternative embodiment, an electronic device is provided, as shown in fig. 6, the electronic device 4000 shown in fig. 6 comprising: a processor 4001 and a memory 4003. Processor 4001 is coupled to memory 4003, such as via bus 4002. Optionally, the electronic device 4000 may further include a transceiver 4004, and the transceiver 4004 may be used for data interaction between the electronic device and other electronic devices, such as transmission of data and/or reception of data. In addition, the transceiver 4004 is not limited to one in practical applications, and the structure of the electronic device 4000 is not limited to the embodiment of the present application.
The Processor 4001 may be a CPU (Central Processing Unit), a general-purpose Processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other Programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor 4001 may also be a combination that performs a computational function, including, for example, a combination of one or more microprocessors, a combination of a DSP and a microprocessor, or the like.
The Memory 4003 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical Disc storage, optical Disc storage (including Compact Disc, laser Disc, optical Disc, digital versatile Disc, blu-ray Disc, etc.), a magnetic Disc storage medium or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to these.
The memory 4003 is used for storing application codes for executing the scheme of the present application, and the execution is controlled by the processor 4001. Processor 4001 is configured to execute application code stored in memory 4003 to implement what is shown in the foregoing method embodiments.
Among them, electronic devices include but are not limited to: mobile phones, notebook computers, multimedia players, desktop computers, and the like.
The present application provides a computer-readable storage medium, on which a computer program is stored, which, when running on a computer, enables the computer to execute the corresponding content in the foregoing method embodiments. Compared with the prior art, the method and the device have the advantages that the network data analysis request sent by the first network element in the core network is received, when the analysis result output type information in the network data analysis request contains the identification corresponding to the output strategy suggestion, the acquired network data are subjected to first processing, and the strategy suggestion aiming at data analysis is generated. Thereby improving the intelligent analysis level of the NWDAF network element.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
The foregoing is only a partial embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (10)
1. A strategy suggestion generation method based on network data analysis is applied to a network data analysis function (NWDAF) network element and is characterized by comprising the following steps:
receiving a network data analysis request sent by a first network element in a core network, wherein the network data analysis request at least comprises analysis result output type information, and the first network element is other than the NWDAF network element;
responding to the network data analysis request, and performing data analysis on the acquired network data;
when the analysis result output type information comprises an identifier corresponding to an output strategy suggestion, performing first processing on the network data, wherein the first processing is used for screening abnormal data in the network data, wherein the abnormal data is beyond a preset standard;
generating a policy recommendation for the data analysis based on the screened abnormal data.
2. The method of claim 1, wherein prior to the performing data analysis on the acquired network data, the method further comprises:
and acquiring at least one type of network data corresponding to the analysis service type information from at least one network element in the core network and outside the core network according to the analysis service type information included in the network data analysis request.
3. The method of claim 1, wherein the first processing the network data comprises:
and comparing the acquired at least one network data with the corresponding preset threshold value range respectively, and screening abnormal data outside the preset threshold value range.
4. The method of claim 1, wherein generating a policy suggestion based on the screened outlier data comprises:
and inquiring corresponding strategy suggestions in a preset strategy suggestion database according to the screened abnormal data so as to generate strategy suggestions for data analysis.
5. The method of claim 1, wherein the network data analysis request further includes requester information, the method further comprising:
and sending the strategy suggestion to a requester through strategy suggestion signaling so as to execute the corresponding strategy suggestion.
6. The method of claim 1, wherein the performing data analysis on the acquired network data comprises at least one of:
performing user experience evaluation analysis on the network data;
performing network congestion analysis on the network data;
performing slice load analysis on the network data;
and analyzing the user behavior of the network data.
7. A device for generating a strategy suggestion based on network data analysis is characterized by comprising:
a receiving module, configured to receive a network data analysis request sent by a first network element in a core network, where the network data analysis request at least includes analysis result output type information, and the first network element is another network element except for the NWDAF network element;
the data analysis module is used for responding to the network data analysis request and carrying out data analysis on the acquired network data;
the first processing module is used for performing first processing on the network data when the analysis result output type information comprises an identifier corresponding to an output strategy suggestion, and the first processing is used for screening abnormal data in the network data, wherein the abnormal data is beyond a preset standard;
and the generating module is used for generating a strategy suggestion aiming at the data analysis based on the screened abnormal data.
8. The apparatus of claim 7, further comprising:
and the acquisition module is used for acquiring at least one network data corresponding to the analysis service type information from at least one network element in the core network and outside the core network according to the analysis service type information included in the network data analysis request.
9. An electronic device, characterized in that the electronic device comprises:
one or more processors;
a memory;
one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to: executing the network data analysis based policy proposal generation method according to any of claims 1 to 6.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the network data analysis-based policy suggestion generation method according to any one of claims 1 to 6.
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| CN202011187907.5A CN112311600A (en) | 2020-10-29 | 2020-10-29 | Strategy suggestion generation method and device based on network data analysis |
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