CN112311598A - Data information analysis method and device in network - Google Patents
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Abstract
The embodiment of the application provides a method and a device for analyzing data information in a network, electronic equipment and a computer readable storage medium, and relates to the field of network data analysis. The method comprises the following steps: receiving an analysis service request which is sent by a first network element in a core network and used for carrying out user experience evaluation analysis on data information in the network, wherein the analysis service request at least comprises requester information and analysis object type information, and the first network element is other than an NWDAF network element; based on the analysis service request, an analysis result corresponding to the analysis object type information is output. In the embodiment of the application, the NWDAF network element receives the analysis service request which is sent by other network elements in the core network and contains the analysis object type information, and outputs the analysis result corresponding to the analysis object type information based on the analysis service request, so that different analysis results are provided according to different analysis object types, and the precision of the analysis service is improved.
Description
Technical Field
The present application relates to the field of data information analysis technologies, and in particular, to a method and an apparatus for data information analysis in a network, an electronic device, and a computer-readable storage medium.
Background
An NWDAF (network data analysis function) network element is an intelligent network element defined by 3GPP, and can provide intelligent analysis services for other network elements by using big data and artificial intelligence technical capabilities. The specification of the NWDAF supports service experience awareness, but is mainly applied to a slice level, cannot output an experience awareness analysis result for each user, cannot output an experience awareness result of a plurality of services of one user, and can only output an average experience value of a plurality of users of a specific slice, a specific instance and a specific application. The precision and range of the user experience analysis result are very limited.
Disclosure of Invention
The object of the present application is to solve at least one of the above-mentioned technical drawbacks, in particular the technical drawback that an NWDAF network element can only output a specific type of analysis result.
In a first aspect, a method for analyzing data information in a network is provided, and is applied to a network data analysis function NWDAF network element, and includes:
receiving an analysis service request which is sent by a first network element in a core network and used for carrying out user experience evaluation analysis on data information in the network, wherein the analysis service request at least comprises requester information and analysis object type information, and the first network element is other than an NWDAF network element;
based on the analysis service request, an analysis result corresponding to the analysis object type information is output.
In one possible implementation, outputting an analysis result corresponding to the analysis object type information based on the analysis service request includes:
acquiring data information corresponding to the analysis object type information according to the analysis service request;
and performing data analysis on the data information corresponding to the analysis object type information to output an analysis result corresponding to the analysis object type information.
In another possible implementation manner, the data information corresponding to the analysis object type information includes: at least one of attribute information, performance index, and control information corresponding to the analysis object type information,
acquiring data information corresponding to the analysis object type information according to the analysis service request includes:
and acquiring data information corresponding to the type information of the analysis object from the core network and at least one other network element except the core network according to the type information of the analysis object.
In yet another possible implementation manner, performing data analysis on the data information corresponding to the analysis object type information to output an analysis result corresponding to the analysis object type information includes:
and performing user experience evaluation analysis on the data information corresponding to the analysis object type information by adopting a data algorithm corresponding to the analysis object type information so as to output an analysis result corresponding to the analysis object type information.
In yet another possible implementation, the analysis object type information includes an identifier corresponding to the network slice, and/or at least one end user, and/or at least one service of at least one end user, respectively.
In a second aspect, an apparatus for analyzing data information in a network is provided, where the apparatus is applied to a network data analysis function NWDAF network element, and the apparatus includes:
a receiving module, configured to receive an analysis service request for performing user experience evaluation analysis on data information in a network, where the analysis service request is sent by a first network element in a core network, and includes at least requester information and analysis object type information, and the first network element is another network element except an NWDAF network element;
and the output module is used for outputting an analysis result corresponding to the type information of the analysis object based on the analysis service request.
In one possible implementation, the output module includes:
an acquisition unit configured to acquire data information corresponding to the analysis object type information according to the analysis service request;
and an analysis unit for performing data analysis on the data information corresponding to the analysis object type information to output an analysis result corresponding to the analysis object type information.
In another possible implementation manner, the data information corresponding to the analysis object type information includes: at least one of attribute information, performance index, and control information corresponding to the analysis object type information,
the obtaining unit is specifically configured to obtain, according to the analysis object type information, data information corresponding to the analysis object type information from the core network and at least one other network element other than the core network.
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: performing the method of data information analysis in a network according to any one of claims 1 to 5.
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 enables the processor to execute the operation corresponding to the data information analysis method in the network as shown in the first aspect of the application.
In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored, wherein the computer program, when being executed by a processor, implements the method for analyzing data information in a network according to any one of claims 1 to 5.
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 data information analysis method in the network shown in the first aspect of the present application.
The beneficial effect that technical scheme that this application provided brought is:
in the application, the NWDAF network element receives the analysis service request which is sent by other network elements in the core network and contains the analysis object type information, and outputs the analysis result corresponding to the analysis object type information based on the analysis service request, so that different analysis results are provided according to different analysis object types, and the precision of the analysis service is improved.
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 data information analysis method in a network according to an embodiment of the present disclosure;
fig. 2 is a second schematic flowchart of a method for analyzing data information in a network according to an embodiment of the present application;
fig. 3 is a schematic diagram of an analysis service principle based on an NWDAF network element according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a data information analysis apparatus in a network according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of an electronic device for analyzing data information in a network 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.
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 big data and artificial intelligence technical capabilities. The specification of the NWDAF supports service experience awareness, but is mainly applied to a slice level, cannot output an experience awareness analysis result for each user, cannot output an experience awareness result of a plurality of services of one user, and can only output an average experience value of a plurality of users of a specific slice, a specific instance and a specific application. The precision and range of the user experience analysis result are very limited.
In the application, the NWDAF network element receives the analysis service request which is sent by other network elements in the core network and contains the analysis object type information, and outputs the analysis result corresponding to the analysis object type information based on the analysis service request, so that different analysis results are provided according to different analysis object types, and the precision of the analysis service is improved.
The application provides a data information analysis method, a data information analysis device, an electronic device and a computer-readable storage medium in a network, which aim to solve the above technical problems in the prior art.
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 data information analysis method in a network, and an execution main body of the method is an NWDAF network element in a core network. As shown in fig. 1, which is a schematic flow chart of a method for analyzing data information in a network according to an embodiment of the present application, the method includes the following steps:
s101, receiving an analysis service request which is sent by a first network element in a core network and used for carrying out user experience evaluation analysis on data information in the network.
Specifically, the analysis service request at least includes requester information and analysis object type information, where the requester information may include a network identifier of a first network element that issued the analysis service request. Specifically, the first network element may include other network elements besides the NWDAF network element, for example, a UPF network element, an SMF network element, an AMF network element, and the like, and the network identifier of the first network element may be identified in a predefined multiple forms, for example, names UPF, SMF, AMF, and the like of the network elements may be specifically identified, and also may be predefined numerical or letter identifiers corresponding to the respective network elements, for example, the UPF network element is identified by 001.
Furthermore, the analysis object type information may comprise predefined identifications corresponding to the respective analysis object types, e.g. the analysis object types may comprise network slices, and/or at least one end user, and/or at least one service of at least one end user. Therefore, the analysis object type information may include identifiers corresponding to the network slice, the at least one end user, and the at least one service of the at least one end user, respectively, for example, identifiers expressed by names in chinese or english, or identifiers defined by numbers or letters, and the like, specifically, for example, the number "01" identifies the analysis object type as the end user, and the number "10" identifies the analysis object type as the network slice. Furthermore, the analysis object type may be two or more types of the network slice, the at least one end user, and the at least one service of the at least one end user, for example, the number "11" is used to identify the analysis object as the network slice and the at least one end user. And ID information of each target object to be analyzed in each analysis object type may be further included in the analysis object type information, for example, when the analysis object type is a network slice, the above-mentioned number "10" for identifying that the analysis object type is a network slice and ID information of the target network slice to be analyzed may be included in the analysis object type information.
And S102, outputting an analysis result corresponding to the analysis object type information based on the analysis service request.
Based on the analysis service request received in step S101, an analysis result corresponding to the analysis object type information is output, for example, when the analysis object type in the analysis object type information is one or more end users, and the analysis object type information includes identifiers corresponding to the one or more end users and target end user ID information, an analysis result of the corresponding target end user is output.
In the application, the NWDAF network element receives the analysis service request which is sent by other network elements in the core network and contains the analysis object type information, and outputs the analysis result corresponding to the analysis object type information based on the analysis service request, so that different analysis results are provided according to different analysis object types, and the precision of the analysis service is improved.
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 method for analyzing data information in a network provided in the embodiment of the present application, where the method includes the following steps:
s201, receiving an analysis service request which is sent by a first network element in a core network and used for carrying out user experience evaluation analysis on data information in the network.
The analysis service request at least comprises requester information and analysis object type information, and the first network element is other than an NWDAF network element. For example, as shown in fig. 3, which is a schematic diagram of an analysis service principle based on 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.
The analysis object type information may comprise predefined identifications corresponding to respective analysis object types, for example, the analysis object types may comprise network slices, and/or at least one end user, and/or at least one service of at least one end user. Therefore, the analysis object type information may include identifiers corresponding to the network slice, the at least one end user, and the at least one service of the at least one end user, respectively, and the analysis object type information may further include ID information of each target object in each analysis object type.
Step S201 is the same as step S101 in the above embodiment, and is not described again here.
S202, acquiring data information corresponding to the analysis object type information from the core network and at least one other network element except the core network according to the analysis object type information.
And S203, adopting a data algorithm corresponding to the analysis object type information to perform user experience evaluation analysis on the data information corresponding to the analysis object type information so as to output an analysis result corresponding to the analysis object type information.
After receiving the analysis service request issued by the first network element in the core network in step S201, an analysis result corresponding to the analysis object type information may be output based on the analysis service request.
Specifically, the data information corresponding to the analysis object type information may be acquired from the core network and at least one other network element other than the core network according to the analysis object type information in the analysis service request. Then, a data algorithm corresponding to the analysis object type information may be adopted to perform user experience evaluation analysis on the data information corresponding to the analysis object type information.
Wherein, the data information corresponding to the analysis object type information may include: at least one of attribute information, performance index, and control information corresponding to the analysis object type information.
For example, when the analysis object type is at least one end user, the NWDAF network element may obtain, from the OMC network element, control information such as RSRP (Reference Signal Receiving Power), RSRQ (Reference Signal Receiving Quality), and the like according to the ID information of the target object to be analyzed, may also obtain, from the UPF network element, performance indexes such as bit rate, delay, and the like, and may also obtain, from the SMF network element and the AMF network element, attribute information such as network slice information, user position, and the like. And also can obtain feedback information such as MOS (Mean Opinion Score, a metric of voice quality) for correcting the analysis result from the AF network element.
Further, a data algorithm corresponding to the analysis object type information may be adopted to perform the user experience evaluation analysis on the data information corresponding to the analysis object type information, for example, an algorithm based on artificial intelligence, such as a machine learning algorithm, may be adopted. So that an analysis result corresponding to the analysis object type information can be output. For example, the analyzed target object information, such as the end user ID, the service list information of the end user, and the end user experience evaluation score value, may be included in the analysis result.
In the application, the NWDAF network element receives an analysis service request which is sent by other network elements in the core network and contains analysis object type information, acquires data information corresponding to the analysis object type information based on the analysis service request, performs data analysis on the data information corresponding to the analysis object type information by adopting a data algorithm corresponding to the analysis object type information, and outputs an analysis result corresponding to the analysis object type information, so that different analysis results are provided according to different analysis object types, and the precision of analysis service is improved.
An embodiment of the present application provides a data information analysis apparatus in a network, as shown in fig. 4, which is a schematic structural diagram of the data information analysis apparatus in the network provided in the embodiment of the present application, and the data information analysis apparatus 40 in the network may include: a receiving module 401, an output module 402, wherein,
a receiving module 401, configured to receive an analysis service request for performing user experience evaluation analysis on data information in a network, where the analysis service request is sent by a first network element in a core network, and the analysis service request at least includes requester information and analysis object type information, and the first network element is another network element except an NWDAF network element.
An output module 402, configured to output an analysis result corresponding to the analysis object type information based on the analysis service request.
Wherein, the output module may include: an acquisition unit and an analysis unit.
An acquisition unit configured to acquire data information corresponding to the analysis object type information according to the analysis service request;
specifically, the data information corresponding to the analysis object type information includes: at least one of attribute information, performance index, and control information corresponding to the analysis object type information,
the obtaining unit is specifically configured to obtain, according to the analysis object type information, data information corresponding to the analysis object type information from the core network and at least one other network element other than the core network.
And an analysis unit for performing data analysis on the data information corresponding to the analysis object type information to output an analysis result corresponding to the analysis object type information.
Specifically, the analysis unit is specifically configured to perform user experience evaluation analysis on the data information corresponding to the analysis object type information by using a data algorithm corresponding to the analysis object type information, so as to output an analysis result corresponding to the analysis object type information
The data information analysis apparatus in the network of this embodiment can execute the data information analysis method in the network shown in the foregoing embodiments of this application, and the implementation principles thereof are similar and will not be described herein again.
In the application, the NWDAF network element receives the analysis service request which is sent by other network elements in the core network and contains the analysis object type information, and outputs the analysis result corresponding to the analysis object type information based on the analysis service request, so that different analysis results are provided according to different analysis object types, and the precision of the analysis service is improved.
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: in the application, the NWDAF network element receives the analysis service request which is sent by other network elements in the core network and contains the analysis object type information, and outputs the analysis result corresponding to the analysis object type information based on the analysis service request, so that different analysis results are provided according to different analysis object types, and the precision of the analysis service is improved.
In an alternative embodiment, an electronic device is provided, as shown in fig. 5, the electronic device 4000 shown in fig. 5 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 NWDAF network element in the application receives the analysis service request which is sent by other network elements in the core network and contains the analysis object type information, and outputs the analysis result corresponding to the analysis object type information based on the analysis service request, so that different analysis results are provided according to different analysis object types, and the precision of the analysis service is improved.
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 data information analysis method in a network is applied to a network data analysis function (NWDAF) network element and is characterized by comprising the following steps:
receiving an analysis service request which is sent by a first network element in a core network and used for carrying out user experience evaluation analysis on data information in the network, wherein the analysis service request at least comprises requester information and analysis object type information, and the first network element is other network elements except the NWDAF network element;
outputting an analysis result corresponding to the analysis object type information based on the analysis service request.
2. The analytical method according to claim 1,
the outputting of the analysis result corresponding to the analysis object type information based on the analysis service request includes:
acquiring data information corresponding to the analysis object type information according to the analysis service request;
and performing data analysis on the data information corresponding to the analysis object type information to output an analysis result corresponding to the analysis object type information.
3. The analysis method according to claim 2, wherein the data information corresponding to the analysis object type information includes: at least one of attribute information, performance index, and control information corresponding to the analysis object type information,
the acquiring, according to the analysis service request, data information corresponding to the analysis object type information includes:
and acquiring data information corresponding to the analysis object type information from the core network and at least one other network element except the core network according to the analysis object type information.
4. The analytical method of claim 2,
the performing data analysis on the data information corresponding to the analysis object type information to output an analysis result corresponding to the analysis object type information includes:
and performing user experience evaluation analysis on the data information corresponding to the analysis object type information by adopting a data algorithm corresponding to the analysis object type information so as to output an analysis result corresponding to the analysis object type information.
5. The analytical method according to claim 1,
the analysis object type information comprises network slices and/or at least one end user and/or at least one service identification corresponding to at least one service of at least one end user.
6. A data information analysis device in a network is applied to a network data analysis function (NWDAF) network element, and is characterized by comprising the following components:
a receiving module, configured to receive an analysis service request for performing user experience evaluation analysis on data information in a network, where the analysis service request is sent by a first network element in a core network, where the analysis service request at least includes requester information and analysis object type information, and the first network element is another network element except for the NWDAF network element;
and the output module is used for outputting an analysis result corresponding to the analysis object type information based on the analysis service request.
7. The analysis device of claim 6, wherein the output module comprises:
an acquisition unit configured to acquire data information corresponding to the analysis object type information according to the analysis service request;
an analysis unit configured to perform data analysis on data information corresponding to the analysis object type information to output an analysis result corresponding to the analysis object type information.
8. The analysis apparatus according to claim 6, wherein the data information corresponding to the analysis object type information includes: at least one of attribute information, performance index, and control information corresponding to the analysis object type information,
the obtaining unit is specifically configured to obtain, according to the analysis object type information, data information corresponding to the analysis object type information from a core network and at least one other network element outside the core network.
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: performing the method of data information analysis in a network according to any one of claims 1 to 5.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out a method of data information analysis in a network according to any one of claims 1 to 5.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022253001A1 (en) * | 2021-06-02 | 2022-12-08 | 华为技术有限公司 | Handover method and apparatus |
| US20220417768A1 (en) * | 2021-06-29 | 2022-12-29 | Dish Wireless L.L.C. | Dynamic subscriber policy configuration in a communication network based on real-time bidding |
| WO2024055911A1 (en) * | 2022-09-14 | 2024-03-21 | 维沃移动通信有限公司 | Target information, target information acquisition method and apparatus, and device |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120142319A1 (en) * | 2010-12-01 | 2012-06-07 | International Business Machines Corporation | Systems and methods for joint analytics on user level and network level data of a communications network |
| CN110121183A (en) * | 2018-02-07 | 2019-08-13 | ***通信有限公司研究院 | Information processing method and device and computer readable storage medium |
| CN110972200A (en) * | 2018-09-30 | 2020-04-07 | 华为技术有限公司 | Communication method and related equipment |
| CN111294224A (en) * | 2018-12-10 | 2020-06-16 | 华为技术有限公司 | Method and apparatus for measuring quality of service information |
| CN111586599A (en) * | 2020-04-24 | 2020-08-25 | 腾讯科技（深圳）有限公司 | Network auxiliary information providing method and related equipment |
-
2020
- 2020-10-29 CN CN202011183294.8A patent/CN112311598A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120142319A1 (en) * | 2010-12-01 | 2012-06-07 | International Business Machines Corporation | Systems and methods for joint analytics on user level and network level data of a communications network |
| CN110121183A (en) * | 2018-02-07 | 2019-08-13 | ***通信有限公司研究院 | Information processing method and device and computer readable storage medium |
| CN110972200A (en) * | 2018-09-30 | 2020-04-07 | 华为技术有限公司 | Communication method and related equipment |
| CN111294224A (en) * | 2018-12-10 | 2020-06-16 | 华为技术有限公司 | Method and apparatus for measuring quality of service information |
| CN111586599A (en) * | 2020-04-24 | 2020-08-25 | 腾讯科技（深圳）有限公司 | Network auxiliary information providing method and related equipment |
Non-Patent Citations (1)
| Title |
|---|
| 3GPP: "《Architecture enhancements for 5G System (5GS) to support》", 《3GPP TS 23.288 V0.3.0》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022253001A1 (en) * | 2021-06-02 | 2022-12-08 | 华为技术有限公司 | Handover method and apparatus |
| US20220417768A1 (en) * | 2021-06-29 | 2022-12-29 | Dish Wireless L.L.C. | Dynamic subscriber policy configuration in a communication network based on real-time bidding |
| WO2024055911A1 (en) * | 2022-09-14 | 2024-03-21 | 维沃移动通信有限公司 | Target information, target information acquisition method and apparatus, and device |
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