WO2023179709A1

WO2023179709A1 - Information processing method and apparatus, communication device, and readable storage medium

Info

Publication number: WO2023179709A1
Application number: PCT/CN2023/083356
Authority: WO
Inventors: 吕华章; 吴晓波; 崇卫微
Original assignee: 维沃移动通信有限公司
Priority date: 2022-03-25
Filing date: 2023-03-23
Publication date: 2023-09-28
Also published as: CN116846772A

Abstract

The present application relates to the technical field of communications, and discloses an information processing method and apparatus, a communication device, and a readable storage medium. The information processing method of embodiments of the present application comprises: a first communication device sending a first request, the first request comprising an analysis identifier, and the first request being used for requesting at least one of the following: an analysis and/or prediction result corresponding to the analysis identifier, and a model corresponding to the analysis identifier; and performing a first operation, the first operation comprising at least one of the following: receiving the analysis and/or prediction result corresponding to the analysis identifier; receiving the model corresponding to the analysis identifier; receiving first indication information used for indicating that the analysis and/or prediction result corresponding to the analysis identifier is successfully obtained; and receiving a first storage address of the analysis and/or prediction result corresponding to the analysis identifier, and obtaining the analysis and/or prediction result according to the first storage address; and receiving a second storage address of the model corresponding to the analysis identifier, and obtaining the model according to the second storage address.

Description

Information processing methods, devices, communication equipment and readable storage media

Cross-references to related applications

This application claims priority from Chinese Patent Application No. 202210307756.5 filed in China on March 25, 2022, the entire content of which is incorporated herein by reference.

Technical field

This application belongs to the field of communication technology, and specifically relates to an information processing method, device, communication equipment and readable storage medium.

Background technique

In the existing technology, network data analysis functions are introduced to perform some intelligent analysis. The network data analysis function has certain artificial intelligence analysis functions, which can collect some data and use built-in algorithms and analysis capabilities to analyze and/or predict some results. However, in the case where the network data analysis function is introduced, it has not yet been determined how the relevant communication device obtains the analysis and/or prediction results of the network data analysis function.

Contents of the invention

Embodiments of the present application provide an information processing method, device, communication equipment and readable storage medium, which can solve the problem of how the relevant communication equipment obtains the analysis and/or analysis of the network data analysis function when the network data analysis function is introduced. or the problem of predicting outcomes.

The first aspect provides an information processing method, including:

The first communication device sends a first request, where the first request includes an analysis identifier, and the first request is used to request at least one of the following: analysis and/or prediction results corresponding to the analysis identifier, analysis results corresponding to the analysis identifier, Model;

The first communication device performs a first operation, and the first operation includes at least one of the following:

Receive analysis and/or prediction results corresponding to the analysis identification;

Receive the model corresponding to the analysis identifier;

Receive first indication information, the first indication information being used to indicate that the analysis and/or prediction results corresponding to the analysis identification are successfully obtained;

Receive second indication information, the first indication information being used to indicate that the model corresponding to the analysis identification is successfully obtained;

Receive the first storage address of the analysis and/or prediction results corresponding to the analysis identification, and obtain the analysis and/or prediction results according to the first storage address;

Receive the second storage address of the model corresponding to the analysis identification, and obtain the model according to the second storage address.

The second aspect provides an information processing method, including:

The second communication device receives a first request, where the first request includes an analysis identifier, and the first request is used to request at least one of the following: analysis and/or prediction results corresponding to the analysis identifier, analysis results corresponding to the analysis identifier, Model;

The second communication device obtains second information according to the first request, and the second information includes at least one of the following: analysis and/or prediction results corresponding to the analysis identification, analysis and prediction results corresponding to the analysis identification /or the first storage address of the prediction result, the model corresponding to the analysis identification, and the second storage address of the model corresponding to the analysis identification;

The second communication device performs a second operation based on the second information, and the second operation includes at least one of the following:

Send third information to the first communication device, where the third information includes at least one of the following: a first storage address of the analysis and/or prediction results corresponding to the analysis identification, and a second storage address of the model corresponding to the analysis identification. address;

Send fourth information to the third communication device, where the fourth information includes at least one of the following: analysis and/or prediction results corresponding to the analysis identification, and a model corresponding to the analysis identification;

Send first indication information to the first communication device, where the first indication information is used to indicate that the analysis and/or prediction results corresponding to the analysis identification are successfully obtained;

Send second indication information to the first communication device, where the first indication information is used to indicate that the model corresponding to the analysis identification is successfully obtained.

The third aspect provides an information processing method, including:

The third communication device receives fourth information, which is obtained by the fourth communication device based on the obtained analysis identification. The fourth information includes at least one of the following: analysis and/or prediction results corresponding to the analysis identification, The model corresponding to the analysis identification;

The third communication device sends the fourth information to the first communication device.

The fourth aspect provides an information processing method, including:

The fourth communication device sends a fifth request, the fifth request is used to request to query the third communication device, the third communication device can provide services or establish a session for the first communication device, and/or, the third communication device The service area of the device matches the location of the first communication device;

The fourth communication device sends fourth information to the queried third communication device. The fourth information is obtained by the fourth communication device based on the obtained analysis identification. The fourth information includes at least one of the following: The analysis and/or prediction results corresponding to the analysis identification, and the model corresponding to the analysis identification.

The fifth aspect provides an information processing method, including:

The fifth communication device receives a second request, the second request is used to request verification whether the first communication device is qualified to obtain the third information and/or the fourth information, the third information and/or the fourth information is the third information. The fourth communication device obtains based on the obtained analysis identification that the third information includes at least one of the following: the first storage address of the analysis and/or prediction results corresponding to the analysis identification, and the second storage address of the model corresponding to the analysis identification. Address; the fourth information includes at least one of the following: the analysis and/or prediction results corresponding to the analysis identification, and the model corresponding to the analysis identification;

The fifth communication device sends a verification result, and the verification result is used to indicate that the first communication device has the ability to obtain Qualifications for the third information and/or fourth information, or indicating that the first communication device is not qualified to obtain the third information and/or fourth information.

The sixth aspect provides an information processing method, including:

The sixth communication device receives a fourth request, the fourth request includes fourth information, the fourth request is used to request verification whether to open the fourth information to the third communication device and/or the first communication device, or, Verify whether the first communication device and/or the third communication device is qualified to obtain the fourth information. The fourth information is obtained by the fourth communication device based on the obtained analysis identification. The fourth information includes at least the following: One item: the analysis and/or prediction results corresponding to the analysis identifier, and the model corresponding to the analysis identifier;

If the verification is passed, the sixth communication device sends the fourth information to the third communication device.

In a seventh aspect, an information processing device is provided, applied to a first communication device, including:

A first sending module, configured to send a first request, where the first request includes an analysis identifier, and the first request is used to request at least one of the following: analysis and/or prediction results corresponding to the analysis identifier, the analysis Identify the corresponding model;

A first execution module, configured to perform a first operation, where the first operation includes at least one of the following:

Receive the model corresponding to the analysis identifier;

In an eighth aspect, an information processing device is provided, applied to a second communication device, including:

A first receiving module, configured to receive a first request, where the first request includes an analysis identifier, and the first request is used to request at least one of the following: analysis and/or prediction results corresponding to the analysis identifier, the analysis Identify the corresponding model;

An acquisition module, configured to acquire second information according to the first request, where the second information includes at least one of the following: analysis and/or prediction results corresponding to the analysis identification, analysis and/or prediction results corresponding to the analysis identification Or the first storage address of the prediction result, the model corresponding to the analysis identification, and the second storage address of the model corresponding to the analysis identification;

A second execution module, configured to perform a second operation according to the second information, where the second operation includes at least one of the following:

Send fourth information to the third communication device, where the fourth information includes at least one of the following: analysis and/or prediction results corresponding to the analysis identification, and a model corresponding to the analysis identification.

In a ninth aspect, an information processing device is provided, applied to a third communication device, including:

The second receiving module is configured to receive fourth information. The fourth information is obtained by the fourth communication device based on the obtained analysis identification. The fourth information includes at least one of the following: analysis corresponding to the analysis identification and/or The prediction results and the model corresponding to the analysis identifier;

The second sending module is configured to send the fourth information to the first communication device.

In a tenth aspect, an information processing device is provided, applied to a fourth communication device, including:

The third sending module is configured to send a fifth request, the fifth request is used to request to query a third communication device, the third communication device can provide services or establish a session for the first communication device, and/or, the The service area of the third communication device matches the location of the first communication device;

The fourth sending module is configured to send fourth information to the queried third communication device. The fourth information is obtained by the fourth communication device based on the obtained analysis identification. The fourth information includes at least one of the following: The analysis and/or prediction results corresponding to the analysis identification, and the model corresponding to the analysis identification.

In an eleventh aspect, an information processing device is provided, applied to a fifth communication device, including:

A third receiving module, configured to receive a second request, the second request being used to request verification of whether the first communication device is qualified to obtain the third information and/or the fourth information, the third information and/or the fourth information The information is obtained by the fourth communication device based on the obtained analysis identification, and the third information includes at least one of the following: the first storage address of the analysis and/or prediction results corresponding to the analysis identification, and the first storage address of the model corresponding to the analysis identification. a second storage address; the fourth information includes at least one of the following: analysis and/or prediction results corresponding to the analysis identification, and a model corresponding to the analysis identification;

A fifth sending module, configured to send a verification result, the verification result being used to indicate that the first communication device is qualified to obtain the third information and/or the fourth information, or to indicate that the first communication device is not qualified to obtain the third information. Eligibility for third information and/or fourth information.

In a twelfth aspect, an information processing device is provided, applied to a sixth communication device, including:

The fourth receiving module is used to receive a fourth request, the fourth request includes fourth information, and the fourth request is used to request verification whether to open the fourth information to the third communication device and/or the first communication device. , or, verify whether the first communication device and/or the third communication device is qualified to obtain the fourth information, the fourth information is obtained by the fourth communication device based on the obtained analysis identification, the fourth information Including at least one of the following: analysis and/or prediction results corresponding to the analysis identification, and models corresponding to the analysis identification;

A sixth sending module, configured to send the fourth information to the third communication device if the verification is passed.

In a thirteenth aspect, a communication device is provided. The terminal includes a processor and a memory. The memory stores programs or instructions that can be run on the processor. The program or instructions are implemented when executed by the processor. The steps of the method described in the first aspect, or the steps of implementing the method described in the second aspect, or the steps of implementing the method described in the third aspect, or the steps of implementing the method described in the fourth aspect, Either implement the steps of the method described in the fifth aspect, or implement the steps of the method described in the sixth aspect.

In a fourteenth aspect, a readable storage medium is provided. Programs or instructions are stored on the readable storage medium. When the programs or instructions are executed by a processor, the steps of the method described in the first aspect are implemented, or the steps of the method are implemented. The steps of the method described in the second aspect, or the steps of implementing the method described in the third aspect, or the steps of implementing the method described in the fourth aspect or implement the steps of the method described in the fifth aspect, or implement the steps of the method described in the sixth aspect.

In a fifteenth aspect, a chip is provided. The chip includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement the method described in the first aspect. The steps of the method, or the steps of the method described in the second aspect, or the steps of the method described in the third aspect, or the steps of the method described in the fourth aspect, or the steps of the method described in the fifth aspect The steps of the method described in the sixth aspect, or the steps of implementing the method described in the sixth aspect.

In a sixteenth aspect, a computer program/program product is provided, the computer program/program product is stored in a storage medium, and the computer program/program product is executed by at least one processor to implement as described in the first aspect The steps of the method, or the steps of the method described in the second aspect, or the steps of the method described in the third aspect, or the steps of the method described in the fourth aspect, or the fifth aspect The steps of the method described in the sixth aspect, or the steps of implementing the method described in the sixth aspect.

In a seventeenth aspect, a communication system is provided, including a terminal and a network side device. The terminal is used to perform the steps of the method described in the first aspect, and the network side device is used to perform the method described in the second aspect. The steps of the method, or the steps of the method described in the third aspect, or the steps of the method described in the fourth aspect, or the steps of the method described in the fifth aspect, or the method described in the sixth aspect A step of.

In this embodiment of the present application, by initiating the first request, the first communication device (such as a terminal) can obtain the analysis and/or prediction results corresponding to the analysis identification, and obtain the model corresponding to the analysis identification.

Description of the drawings

Figure 1 is a block diagram of a wireless communication system applicable to the embodiment of the present application;

Figure 2 is a flow chart of an information processing method provided by an embodiment of the present application;

Figure 3 is a flow chart of another information processing method provided by an embodiment of the present application;

Figure 4 is a flow chart of another information processing method provided by an embodiment of the present application;

Figure 5 is a flow chart of another information processing method provided by an embodiment of the present application;

Figure 6 is a flow chart of another information processing method provided by an embodiment of the present application;

Figure 7 is a flow chart of another information processing method provided by an embodiment of the present application;

Figure 8A is a flow chart of application scenario 1 of the embodiment of the present application;

Figure 8B is a flow chart of application scenario 2 of the embodiment of the present application;

Figure 8C is a flow chart of application scenario 3 of the embodiment of the present application;

Figure 8D is a flow chart of application scenario 4 of the embodiment of the present application;

Figure 8E is a flow chart of application scenario 5 of the embodiment of the present application;

Figure 8F is a flow chart of application scenario 6 of the embodiment of the present application;

Figure 8G is a flow chart of application scenario 7 of the embodiment of the present application;

Figure 8H is a flow chart of application scenario 8 of the embodiment of the present application;

Figure 9 is a schematic structural diagram of an information processing device provided by an embodiment of the present application;

Figure 10 is a schematic structural diagram of another information processing device provided by an embodiment of the present application;

Figure 11 is a schematic structural diagram of another information processing device provided by an embodiment of the present application;

Figure 12 is a schematic structural diagram of another information processing device provided by an embodiment of the present application;

Figure 13 is a schematic structural diagram of another information processing device provided by an embodiment of the present application;

Figure 14 is a schematic structural diagram of another information processing device provided by an embodiment of the present application;

Figure 15 is a schematic structural diagram of a communication device provided by an embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application will be clearly described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art fall within the scope of protection of this application.

The terms "first", "second", etc. in the description and claims of this application are used to distinguish similar objects and are not used to describe a specific order or sequence. It is to be understood that the terms so used are interchangeable under appropriate circumstances so that the embodiments of the present application can be practiced in sequences other than those illustrated or described herein, and that "first" and "second" are distinguished objects It is usually one type, and the number of objects is not limited. For example, the first object can be one or multiple. In addition, "and/or" in the description and claims indicates at least one of the connected objects, and the character "/" generally indicates that the related objects are in an "or" relationship.

It is worth pointing out that the technology described in the embodiments of this application is not limited to Long Term Evolution (LTE)/LTE Evolution (LTE-Advanced, LTE-A) systems, and can also be used in other wireless communication systems, such as code Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), Frequency Division Multiple Access (FDMA), Orthogonal Frequency Division Multiple Access, OFDMA), Single-carrier Frequency Division Multiple Access (SC-FDMA) and other systems. The terms "system" and "network" in the embodiments of this application are often used interchangeably, and the described technology can be used not only for the above-mentioned systems and radio technologies, but also for other systems and radio technologies. The following description describes a New Radio (NR) system for example purposes, and NR terminology is used in much of the following description, but these techniques can also be applied to applications other than NR system applications, such as 6th ^generation Generation, 6G) communication system.

Figure 1 shows a block diagram of a wireless communication system to which embodiments of the present application are applicable. The wireless communication system includes a terminal 11 and a network side device 12. The terminal 11 may be a mobile phone, a tablet computer (Tablet Personal Computer), a laptop computer (Laptop Computer), or a notebook computer, a personal digital assistant (Personal Digital Assistant, PDA), a palmtop computer, a netbook, or a super mobile personal computer. (ultra-mobile personal computer, UMPC), mobile Internet device (Mobile Internet Device, MID), augmented reality (AR)/virtual reality (VR) equipment, robots, wearable devices (Wearable Device) , Vehicle User Equipment (VUE), Pedestrian User Equipment (PUE), smart home (home equipment with wireless communication functions, such as refrigerators, TVs, washing machines or furniture, etc.), game consoles, personal computers (personal computer, PC), teller machine or self-service machine and other terminal side equipment, wearable devices include: smart watches, smart bracelets, smart headphones, smart glasses, smart jewelry (smart bracelets, smart bracelets, smart rings, smart necklaces, Smart anklets, smart anklets, etc.), smart wristbands, smart clothing, etc. It should be noted that the embodiment of the present application does not limit the specific type of the terminal 11. The network side device 12 may include an access network device or a core network device, where the access network device may also be called a radio access network device, a radio access network (Radio Access Network, RAN), a radio access network function or a wireless access network unit. Access network equipment may include base stations, Wireless Local Area Networks (WLAN) access points or WiFi nodes, etc. The base stations may be called Node B, Evolved Node B (eNB), access point, base transceiver station ( Base Transceiver Station (BTS), radio base station, radio transceiver, Basic Service Set (BSS), Extended Service Set (ESS), home B-node, home evolved B-node, transmitting and receiving point ( Transmitting Receiving Point (TRP) or some other appropriate terminology in the field, as long as the same technical effect is achieved, the base station is not limited to specific technical terms. It should be noted that in the embodiment of this application, only in the NR system The base station is introduced as an example, and the specific type of base station is not limited. The core network equipment may include but is not limited to at least one of the following: Network Data Analytics Function (NWDAF), core network node, core network function, mobility management entity (Mobility Management Entity, MME), access mobility management function (Access and Mobility Management Function, AMF), Session Management Function (SMF), User Plane Function (UPF), Policy Control Function (PCF), Policy and Charging Rule Function Unit (Policy and Charging Rules Function, PCRF), Edge Application Server Discovery Function (EASDF), Unified Data Management (UDM), Unified Data Repository (UDR), Home User Server (Home Subscriber Server, HSS), centralized network configuration (Centralized network configuration, CNC), network storage function (Network Repository Function, NRF), network exposure function (Network Exposure Function, NEF), local NEF (Local NEF, or L -NEF), Binding Support Function (Binding Support Function, BSF), Application Function (Application Function, AF), etc. It should be noted that in the embodiment of this application, only the core network equipment in the NR system is used as an example for introduction, and the specific type of the core network equipment is not limited.

In the embodiment of this application, NWDAF has a certain artificial intelligence (Artificial Intelligence, AI) analysis function. For example, NWDAF can provide an Observed Service Experience related network data analytics function. With this function, the Quality of Service (QoS) information of a terminal accessing a server can be collected, such as uplink and downlink rates, Packet loss rate, etc., and output statistical information, which includes the user experience of terminal access to the server. In addition, NWDAF can also predict based on the historical experience of the terminal accessing the server. For example, if the terminal accesses the server in a certain time period and/or a certain area in the future, then the possible user experience of the terminal such as QoS Condition.

The analysis and/or prediction results that NWDAF can provide can be distinguished by analysis identifiers (Analytic ID). By indicating different Analytic IDs and some parameters to NWDAF, NWDAF can provide corresponding analysis and/or prediction results.

Optionally, the Analytic ID corresponding to NWDAF may include but is not limited to at least one of the following:

Service Experience;

Load level information (load level information);

NF load information;

Network Performance;

UE communication;

User Data Congestion;

QoS Sustainability;

WLAN performance;

Session Management Congestion Control Experience;

DN Performance.

The information processing method, device, communication device and readable storage medium provided by the embodiments of the present application will be described in detail through some embodiments and application scenarios in conjunction with the accompanying drawings.

Please refer to Figure 2. Figure 2 is a flow chart of an information processing method provided by an embodiment of the present application. The method is applied to a first communication device, such as a terminal. As shown in Figure 2, the method includes:

Step 21: The first communication device sends the first request.

In this embodiment, the first request includes an analysis identifier, and the first request is used to request at least one of the following: analysis and/or prediction results corresponding to the analysis identifier, and a model corresponding to the analysis identifier. For example, the first communication device requests analysis of the artificial intelligence AI model identified as "service experience".

Optionally, the above analysis identification is used to characterize the category of analysis and/or prediction results requested by the first communication device, and different analysis identifications represent different analysis and/or prediction results, and/or the above analysis identification is used to characterize the first communication device. The functional category of the model requested by the communication device. That is to say, the above-mentioned analysis identifiers are used to characterize the categories of analysis and/or prediction results provided by the first network function, and different analysis identifiers represent different analysis and/or prediction results, and/or the above-mentioned analysis identifiers are used to characterize the third A functional category of the model provided by a network function, where the first network function has a network data analysis function.

In some embodiments, the first network function may be NWDAF.

In some embodiments, the analysis and/or prediction results corresponding to the above analysis identifiers may be provided by NWDAF.

In some embodiments, the model corresponding to the above analysis identification may be provided by NWDAF. Alternatively, the model corresponding to the above analysis identification may be requested by NWDAF from AF, or provided by AF to NWDAF, so that it can be sent to the terminal based on subsequent operations.

In some embodiments, the first communication device may send a first request to the second communication device (such as SMF, AMF, etc.). The first request may be a packet data unit (Packet Data Unit, PDU) session establishment request or PDU session modification. The request or registration request, etc., includes the analysis identifier corresponding to the requested analysis and/or prediction results, and/or the analysis identifier corresponding to the requested model, etc.

Step 22: The first communication device performs the first operation.

In this embodiment, the first operation may include at least one of the following:

Receive the model corresponding to the analysis identifier; for example, when receiving the model corresponding to the analysis identifier, you can receive the corresponding model file and/or model algorithm, etc.;

Receive second indication information, the first indication information is used to indicate that the model corresponding to the analysis identification is successfully obtained;

Receive the second storage address of the model corresponding to the analysis identification, and obtain the model according to the second storage address. For example, the second storage address may be the storage address of the model file of the model.

In some embodiments, the first storage address includes at least one of the following: the IP address of the storage location of the analysis and/or prediction results, a fully qualified domain name (Fully Qualified Domain Name, FQDN), and a uniform resource locator (Uniform Resource Locator, URL) )wait.

In some embodiments, the second storage address includes at least one of the following: the IP address, FQDN, URL, etc. of the storage location of the model file.

Optionally, the terminal can report terminal capabilities to the core network element. The terminal capabilities are used to represent that the terminal can obtain the required analysis and/or prediction results from NWDAF, and/or obtain the required model. The terminal The capability can also indicate that the terminal can obtain the information, such as analysis and/or prediction results, and/or obtain the required model, the storage address of the analysis and/or prediction results, and/or obtain the required model. Store the address and send it to the application on the terminal.

The information processing method of the embodiment of the present application can enable the first communication device (such as a terminal) to obtain the analysis and/or prediction results corresponding to the analysis identifier and obtain the model corresponding to the analysis identifier by initiating the first request.

Optionally, the above-mentioned obtaining the analysis and/or prediction results according to the first storage address may include: the first communication device establishes a PDU session with the first storage address, and obtains the said PDU session through the established PDU session. Analysis and/or prediction results, for example, the analysis and/or prediction results are obtained through a downlink. In this way, the required analysis and/or prediction results can be obtained through PDU sessions.

Optionally, the above-mentioned obtaining the model according to the second storage address may include: the first communication device establishing a PDU session with the second storage address, and obtaining the model through the established PDU session. In this way, the required model, such as model files and/or model algorithms, can be obtained through PDU sessions.

Optionally, the analysis and/or prediction results corresponding to the above analysis identification may include but are not limited to at least one of the following:

Network data analysis and/or prediction results related to slice load levels;

Observe network data analysis and/or prediction results related to service experience;

Network element load analysis and/or prediction results;

Network performance analysis and/or prediction results;

Terminal mobility analysis and/or prediction results;

Terminal communication analysis and/or prediction results;

Network data analysis and/or prediction results related to expected terminal behavioral parameters;

Network data analysis and/or prediction results related to abnormal behavior;

User data congestion analysis and/or prediction results;

QoS sustainability analysis and/or prediction results;

Dispersion analysis and/or forecast results;

Analysis and/or prediction results of WLAN performance;

Session management congestion control experience analysis and/or prediction results;

Analysis and/or prediction results related to redundant transmission experience;

Data network performance analysis and/or prediction results.

Optionally, the information processing method of this embodiment also includes at least one of the following:

The first communication device sends the received analysis and/or prediction results, and/or the storage address of the analysis and/or prediction results to the application on the first communication device, so that the application uses the analysis and/or prediction results to perform services. Operation, for example, the application determines whether to perform upstream data transmission based on analysis or prediction results;

The first communication device sends the received model and/or the storage address of the model to the application on the first communication device, so that the application can use the model to perform business operations. For example, the application can use the model to perform face recognition model training.

The first communication device performs business operations based on the obtained analysis and/or prediction results;

The first communication device performs at least one of the following according to the obtained model: building a model, performing model training, and performing model inference.

Optionally, the above business operations include at least one of the following:

Control upstream or downstream data transmission;

Select terminal access method;

Select the address of the destination server to be accessed.

Optionally, for controlling uplink or downlink data transmission, at least one of the following may be included:

At the target time and/or target location, perform at least one of the following: perform uplink data transmission, do not perform uplink data transmission, terminate uplink data transmission, and resume uplink data transmission;

Instruct the network side device to perform at least one of the following at the target time and/or target location: perform downlink data transmission, do not perform downlink data transmission, terminate downlink data transmission, and resume downlink data transmission.

It should be noted that the above target time and/or target location can be determined based on analysis and/or prediction results obtained by the terminal. For example, if the terminal obtains analysis and/or prediction results in a specific area and a specific time period, then the specific area is the target location and the specific time period is the target time. For another example, if the terminal obtains the analysis and/or prediction results of a certain area in a certain analysis target period, then the area is the target location and the analysis target period is the target time.

Optionally, the above-mentioned uplink data transmission may include at least one of the following:

Upstream transmission of model files or model algorithms; for example, the model can be a machine learning model. Since machine learning model files are usually relatively large, upstream transmission needs to be performed under good network conditions;

Upstream transmission of the mid-term data results of federated learning; for example, the mid-term data results of federated learning can be uplink transmitted under good network conditions or terminal QoS conditions;

Uplink transmission of data to be sent by the terminal or applications on the terminal;

Upstream transmission of data to be collected from the terminal or applications on the terminal;

Allows server-side data to be transmitted downlink; allows server-side or network side to perform downlink transmission of model files.

Please refer to Figure 3. Figure 3 is a flow chart of an information processing method provided by an embodiment of the present application. The method is applied to a second communication device, such as an SMF, AMF, etc. As shown in Figure 3, the method includes:

Step 31: The second communication device receives the first request.

In this embodiment, the first request includes an analysis identifier, and the first request is used to request at least one of the following: analysis and/or prediction results corresponding to the analysis identifier, and a model corresponding to the analysis identifier.

Optionally, the above-mentioned analysis identifiers are used to characterize the categories of analysis and/or prediction results that the first network function can provide, and different analysis identifiers represent different analysis and/or prediction results, and/or the above-mentioned analysis identifiers are used to characterize The functional category of the model that the first network function can provide.

In some embodiments, the second communication device may receive a first request from the first communication device (such as a terminal), such as a PDU session establishment request or a PDU session modification request.

Step 32: The second communication device obtains the second information according to the first request.

Optionally, the second information may include at least one of the following: the analysis and/or prediction results corresponding to the analysis identification, the first storage address of the analysis and/or prediction results corresponding to the analysis identification, the model corresponding to the analysis identification, the analysis identification corresponding to The second storage address of the model. For specific contents related to the analysis and/or prediction results, models, first storage addresses, and second storage addresses corresponding to the analysis identifiers, please refer to the above embodiments and will not be described again here.

Step 33: The second communication device performs the second operation according to the second information.

In this embodiment, the second operation may include at least one of the following:

Send third information to the first communication device, the third information including at least one of the following: a first storage address of the analysis and/or prediction results corresponding to the analysis identification, and a second storage address of the model corresponding to the analysis identification;

Send fourth information to the third communication device, the fourth information including at least one of the following: analysis and/or prediction results corresponding to the analysis identification, and a model corresponding to the analysis identification;

In some embodiments, the second communication device may send third information to the first communication device (such as a terminal), so that the first communication device (such as a terminal) obtains the required analysis and/or prediction results based on the received storage address, and/or get the required model.

In other embodiments, the second communication device may send the fourth information to the third communication device (such as the AF), so that the AF forwards the obtained fourth information to the first communication device (such as the terminal).

The information processing method of the embodiment of the present application can enable the first communication device (such as a terminal) to obtain the analysis and/or prediction results corresponding to the analysis identifier and obtain the model corresponding to the analysis identifier through relevant operations of the second communication device.

Optionally, before obtaining the second information, the second communication device may send a second request, the second request being used to request verification of whether the first communication device is qualified to obtain the third information and/or the fourth information. Afterwards, when it is verified that the first communication device has the qualification to obtain the third information and/or the fourth information, the second communication device obtains the second information, so that the first communication device obtains the required analysis and analysis based on subsequent operations. /or predict the results, and/or obtain the required model.

In some embodiments, the second communication device may send a second request to the fifth communication device (such as UDM). The second request is a verification request, such as Nudm_SDM_Get or Nudm_SDM_Subscribe. For example, the second communication device sends a second request to the fifth communication device. The second request includes an analysis identifier and a terminal identifier, and requests the fifth communication device to verify whether the terminal has the capability to use the analysis identifier. Qualification of models or analysis and/or prediction results. Generally speaking, the terminal can sign a contract with an operator and request to purchase services corresponding to the analysis identifier, such as analysis and/or prediction results and/or models corresponding to the analysis identifier. If the fifth communication device verifies the terminal request and fails, the terminal does not have the relevant services to use NWDAF provided by the operator.

Optionally, before sending the fourth information to the third communication device, the second communication device may send a third request, the third request being used to request to query the third communication device, and the third communication device can provide the first communication device The service or session is established, and/or the service area of the third communication device matches the location of the first communication device.

In some embodiments, the third communication device is, for example, an AF, so as to send the required analysis and/or prediction results, and/or the required model, to the first communication device (such as the terminal) via the AF.

In some embodiments, the second communication device may send a third request to the NRF for querying the AF.

In some embodiments, the above third request is a query request, including parameters such as UE SUPI and UE location information.

Optionally, the above-mentioned sending the fourth information to the third communication device may include: the second communication device sends a fourth request to the sixth communication device, the fourth request includes fourth information, and the fourth request is used to request verification. Whether to open the fourth information to the third communication device and/or the first communication device, or to verify whether the first communication device and/or the third communication device are qualified to obtain the fourth information, and if the verification is passed, by The sixth communication device sends the fourth information to the third communication device.

In some embodiments, the second communication device may send a fourth request to the sixth communication device, such as NEF, to request the NEF to verify whether to open the fourth information to the third communication device and/or the first communication device, or to verify the first communication Whether the device and/or the third communication device is qualified to obtain the fourth information, and if the verification is passed, NEF sends the fourth information to the third communication device (such as AF). For example, if some AFs or UEs do not have the required models to receive analysis and/or prediction results from the 5G core network, and/or send them, the NEF may refuse to send the fourth information to the third communication device.

Optionally, when sending the third information to the first communication device, the second communication device may select a UPF or an uplink classifier (UL CL), which is used to establish or carry the third information to the third communication device. The PDU session of the storage address of the information, so that the terminal can obtain the required analysis and/or prediction results through this PDU session, and/or obtain Get the required model.

Please refer to Figure 4. Figure 4 is a flow chart of an information processing method provided by an embodiment of the present application. The method is applied to a third communication device, such as an AF. As shown in Figure 4, the method includes:

Step 41: The third communication device receives the fourth information.

In this embodiment, the fourth information is obtained by the fourth communication device (such as NWDAF) based on the obtained analysis identification, that is, the fourth communication device (such as NWDAF) performs data analysis based on the obtained analysis identification. The fourth information may include at least one of the following: analysis and/or prediction results corresponding to the analysis identification, and a model corresponding to the analysis identification. For the analysis and/or prediction results corresponding to the analysis identification and the specific content involved in the model, please refer to the above embodiments and will not be described again here.

In some embodiments, the third communication device receives the fourth information from the second communication device (such as SMF, AMF, etc.).

Step 42: The third communication device sends the fourth information to the first communication device.

In some embodiments, the third communication device may send the fourth information to the first communication device such as a terminal, so that the terminal obtains the required analysis and/or prediction results, and/or obtains the required model.

In some embodiments, the third communication device sends the fourth information to the first communication device through a session with the first communication device, such as a PDU session.

Please refer to Figure 5. Figure 5 is a flow chart of an information processing method provided by an embodiment of the present application. The method is applied to a fourth communication device, such as a NWDAF. As shown in Figure 5, the method includes:

Step 51: The fourth communication device sends a fifth request.

In this embodiment, the fifth request is used to request to query the third communication device. The third communication device can provide services or establish a session for the first communication device, and/or the service area of the third communication device is consistent with the service area of the first communication device. Location match.

In some embodiments, the above-mentioned fifth request is a query request, including terminal identification (such as SUPI), terminal location information and other parameters.

In some embodiments, the fourth communication device may send a fifth request to the NRF for querying the AF.

Step 52: The fourth communication device sends the fourth information to the queried third communication device.

In this embodiment, the fourth information is obtained by the fourth communication device (such as NWDAF) based on the obtained analysis identification. The fourth information may include at least one of the following: analysis and/or prediction results corresponding to the analysis identification, and a model corresponding to the analysis identification. For the analysis and/or prediction results corresponding to the analysis identification and the specific content involved in the model, please refer to the above embodiments and will not be described again here.

In this way, the query of AF can be triggered by the fourth communication device (such as NWDAF), so that the required analysis and/or prediction results can be sent to the first communication device (such as the terminal) with the help of the query, and/or the required model.

Optionally, the above sending the fourth information to the queried third communication device may include: the fourth communication device sends a sixth request to the sixth communication device, the sixth request includes the fourth information, and the sixth request is in Based on the request to verify whether to open the fourth information to the third communication device and/or the first communication device, or to verify the first communication device and/or the third communication device whether the device is qualified to obtain the fourth information; and if the verification is passed, the sixth communication device sends the fourth information to the third communication device.

In some embodiments, the fourth communication device may send a sixth request to the sixth communication device, such as NEF, to request the NEF to verify whether to open the fourth information to the third communication device and/or the first communication device, or to verify the first communication Whether the device and/or the third communication device is qualified to obtain the fourth information, and if the verification is passed, NEF sends the fourth information to the third communication device (such as AF). For example, if some AFs or UEs do not have the required models to receive analysis and/or prediction results from the 5G core network and/or send them, the NEF may refuse to send the fourth information to the third communication device.

Please refer to Figure 6. Figure 6 is a flow chart of an information processing method provided by an embodiment of the present application. The method is applied to a fifth communication device, such as a UDM. As shown in Figure 6, the method includes:

Step 61: The fifth communication device receives the second request.

In this embodiment, the second request is used to request verification of whether the first communication device is qualified to obtain the third information and/or the fourth information. The third information and/or the fourth information are obtained by the fourth communication device (such as NWDAF) based on the acquired analysis identification. The third information includes at least one of the following: the first storage address of the analysis and/or prediction results corresponding to the analysis identifier, and the second storage address of the model corresponding to the analysis identifier; the fourth information includes at least one of the following: the analysis corresponding to the analysis identifier And/or the model corresponding to the prediction results and analysis identification. For the specific content of the third information and/or the fourth information, please refer to the above embodiments and will not be described again here.

Step 61: The fifth communication device sends the verification result.

Wherein, the verification result is used to indicate that the first communication device is qualified to obtain the third information and/or the fourth information, or to indicate that the first communication device is not qualified to obtain the third information and/or the fourth information. qualifications.

In some embodiments, the fifth communication device may receive the second request from the second communication device (such as SMF, AMF, etc.) and send the verification result to the second communication device (such as SMF, AMF, etc.). When it is verified that the first communication device has the qualification to obtain the third information and/or the fourth information, the second communication device (such as SMF, AMF, etc.) can obtain the second information, so as to enable the first communication device based on subsequent operations. Obtain the required analytical and/or predictive results, and/or obtain the required models.

In this way, the fifth communication device (such as UDM) can be used to verify whether the first communication device is qualified to obtain the third information and/or the fourth information, so that when it is verified that the first communication device is qualified, the first communication device is The communication device obtains required analysis and/or prediction results, and/or obtains required models.

Please refer to Figure 7. Figure 7 is a flow chart of an information processing method provided by an embodiment of the present application. The method is applied to a fifth communication device, such as a UDM. As shown in Figure 7, the method includes:

Step 71: The sixth communication device receives the fourth request.

In this embodiment, the fourth request includes fourth information, and the fourth request is used to request verification whether to open the fourth information to the third communication device and/or the first communication device, or to verify the first communication device and/or the third communication device. Whether the communication device is qualified to obtain the fourth information. The fourth information is obtained by the fourth communication device (such as NWDAF) based on the obtained analysis identifier, and the fourth information includes at least one of the following: analysis and/or prediction results corresponding to the analysis identifier, and a model corresponding to the analysis identifier. For the analysis and/or prediction results corresponding to the analysis identification and the specific content involved in the model, please refer to the above embodiments and will not be described again here.

In some embodiments, the above-mentioned fourth request is a verification request, including terminal identification (such as SUPI), analysis and/or prediction results corresponding to the Analytic ID and other parameters.

In some embodiments, the sixth communication device may receive the fourth request from the second communication device such as SMF, AMF, etc.

Step 71: If the verification passes, the sixth communication device sends the fourth information to the third communication device.

In some embodiments, the sixth communication device may send fourth information to a third communication device such as the AF, so that the AF sends the required analysis and/or prediction results to the first communication device (such as the terminal), and/or sends the required model. If some AFs or UEs do not have the required models to receive analysis and/or prediction results from the 5G core network, and/or send them, the NEF may refuse to send the fourth information to the third communication device.

The following describes the embodiments of the present application in conjunction with specific application scenarios.

Application scenario 1

Application scenario 1 of the embodiment of this application mainly describes the process of SMF triggering verification and delivering analysis and/or prediction results to the terminal through AF. Please refer to Figure 8A, including the following steps:

Step 1: The UE sends a PDU session establishment or modification request (PDU session Establishment/Modification request) to the SMF. The PDU session establishment or modification request carries an analysis container (analytic container). This container carries the analysis requested by the UE. and/or the analytic ID corresponding to the prediction result.

Step 2: After receiving the request sent by the UE, the SMF triggers a request to verify the terminal subscription data to the UDM to request verification whether the UE is qualified to obtain the analysis and/or prediction results corresponding to the analytic ID.

Optionally, the triggered request signaling can be: Nudm_SDM_Get or Nudm_SDM_Subscribe.

Optionally, the UE's subscription data saved in UDM is as follows:

Step 3: The UDM verifies whether the UE is qualified to obtain the analysis and/or prediction results corresponding to the analytic ID, and feeds back the response to the SMF.

Step 4: The SMF sends a query request to the NRF, triggering a search request for the NWDAF of the NRF. The NWDAF should be able to provide the analysis and/or prediction results corresponding to the Analytic ID that the UE hopes to obtain.

Step 5: NRF queries NWDAF and provides the found IP address or instance ID of NWDAF to SMF.

Step 6: SMF triggers a subscription request to NWDAF, that is, SMF replaces the UE to subscribe to the analytic ID in NWDAF. The Analytic ID is the identifier corresponding to the analysis and/or prediction results requested by the terminal in step 1.

For example, the above subscription request is Nnwdaf_AnalyticsSubscription_Subscribe, which contains UE SUPI.

Step 7: NWDAF feeds back the subscription response to SMF.

Step 8: NWDAF sends the obtained analysis and/or prediction results to SMF through a notify message.

For example, the above notification signaling is: Nnwdaf_AnalyticsSubscription_Notify. Included in this signaling are the analysis results and/or prediction results provided by NWDAF based on the analysis identification requested by the terminal.

Step 9: The SMF initiates a query request to the NRF to query the AF; the AF will be used to deliver analysis and/or prediction results to the UE.

For example, the above query request is Nnrf_NFDiscovery_Request, which at least contains parameters such as UE SUPI and UE location information. The searched AF is an AF capable of establishing a session with the UE, or the AF is an AF capable of providing analysis results and/or prediction results to the terminal.

Step 10: After NRF finds the matching AF, it sends a response back to SMF, including the IP address and/or AF ID of the found AF. Among them, on the one hand, the NRF checks whether the AF can provide services for the UE (for example, establishing a session connection); on the other hand, the NRF checks whether the service area of the AF matches the current UE location.

Step 11: SMF sends a notification message to NEF. The notification message contains the analysis and/or prediction results obtained by SMF. NEF verifies whether the analysis and/or prediction results can be opened to AF or UE, or verifies whether AF or UE has Be qualified to analyze and/or predict outcomes. Only after the verification is passed, the analysis and/or prediction results can be sent to AF.

For example, the above notification message is Nsmf_EventExposure_Notify, which at least contains parameters such as analysis and/or prediction results corresponding to UE SUPI and Analytic ID.

Step 12: NEF performs verification to verify whether analysis and/or prediction results can be opened to AF or UE, or to verify whether AF or UE is qualified to obtain analysis and/or prediction results.

Step 13: After passing the verification, NEF sends the analysis and/or prediction results to AF.

For example, NEF sends signaling Nnef_EventExposure_Notify to AF, which at least contains parameters such as analysis and/or prediction results corresponding to UE SUPI and Analytic ID.

Step 14: The SMF sends a NAS message to the UE. The NAS message includes indication information indicating that the analysis and/or prediction results corresponding to the Analytic ID are successfully obtained. In addition, the NAS message may also include the AF IP address, AF ID, etc., used to establish a session between UE and AF.

Step 15: The UE establishes a session (such as a PDU session) with the AF and delivers analysis and/or prediction results.

It should be pointed out that with the help of a process similar to steps 1 to 15 in Figure 8A, the model corresponding to the analysis identifier can also be delivered to the terminal through AF. To avoid duplication, it will not be described again here.

Application scenario 2

Application scenario 2 of the embodiment of this application mainly describes the process of NWDAF triggering verification and delivering analysis and/or prediction results to the terminal through AF. See Figure 8B, including the following steps:

Step 1 to Step 8: are basically the same as Step 1 to Step 8 shown in Figure 8A and will not be described again here.

Step 9: The NWDAF initiates a query request to the NRF to query the AF; the AF will be used to deliver analysis and/or prediction results to the UE. The searched AF is an AF capable of establishing a session with the UE, or the AF is an AF capable of providing analysis results and/or prediction results to the terminal.

For example, the above query request is Nnrf_NFDiscovery_Request, which at least contains parameters such as UE SUPI and UE location information.

Step 10: After NRF finds the matching AF, it sends a response back to NWDAF, including the IP address and/or AF ID of the found AF. Among them, on the one hand, the NRF checks whether the AF can provide services for the UE (for example, establishing a session connection); on the other hand, the NRF checks whether the service area of the AF matches the current UE location.

Step 11: NWDAF sends a notification message to NEF. The notification message contains the obtained analysis and/or prediction results. NEF verifies whether the analysis and/or prediction results can be opened to AF or UE, or verifies whether AF or UE has obtained Qualifications to analyze and/or predict outcomes. Only after the verification is passed, the analysis and/or prediction results can be sent to AF.

It should be pointed out that with the help of a process similar to steps 1 to 15 in Figure 8B, the model corresponding to the analysis identifier can also be delivered to the terminal through AF. To avoid duplication, it will not be described again here.

Application scenario 3

Application scenario 3 of the embodiment of this application mainly describes the process of delivering analysis and/or prediction results to the terminal through PDU sessions. See Figure 8C, including the following steps:

Step 1 to Step 7: are basically the same as Step 1 to Step 7 shown in Figure 8A and will not be described again here.

Step 8: NWDAF checks whether the analysis and/or prediction results that meet the requirements have been saved in ADRF (Analytics Data Repository Function), or obtains the corresponding analysis and/or prediction results based on the Analytic ID.

Step 9: NWDAF sends the analysis and/or prediction results, or the destination IP address where the analysis and/or prediction results are saved, to the SMF through a notify message.

For example, the above notification signaling is: Nnwdaf_AnalyticsSubscription_Notify.

Step 10: SMF receives the analysis and/or prediction results corresponding to the Analytic ID, and/or receives the storage location corresponding to the results, that is, the destination IP address.

Step 11: After SMF receives the destination IP address stored in the analysis and/or prediction results, it triggers a UPF or UL CL selection process and establishes a user plane to the destination IP address corresponding to the analysis results. Among them, during the SMF process, N4session is also required to be established to the selected UPF or UL CL, so that the UE's PDU session can be established to the destination IP address. Because the terminal requires the destination IP address to obtain the saved analysis and/or prediction results. Therefore, SMF needs to select the user interface in advance.

Step 12: The SMF sends a NAS message to the UE. The NAS message contains indication information. The indication information indicates that the analysis and/or prediction results corresponding to the Analytic ID are successfully obtained. In addition, the NAS message may also include analysis and/or prediction. The destination IP address where the result is saved.

Step 13: The UE triggers the PDU session establishment process, uses the destination IP address obtained in step 12 to save the analysis and/or prediction results, and establishes a PDU session to the target IP address to obtain the required analysis and/or prediction results.

It should be pointed out that with the help of a process similar to steps 1 to 13 in Figure 8C, the model corresponding to the analysis identifier can also be delivered to the terminal through a PDU session. To avoid duplication, it will not be described again here.

Application scenario 4

Application scenario 4 of the embodiment of this application mainly describes the process of delivering the model to the terminal through AF. See Figure 8D, including the following steps:

Step 1: The UE sends a PDU session establishment or modification request to the SMF. The PDU session establishment or modification request carries an analysis container (analytic container). This container carries the analytic ID and model provider corresponding to the model requested by the UE. .

Step 2: After receiving the request sent by the UE, the SMF triggers a request to verify the terminal subscription data to the UDM to request verification whether the UE is qualified to obtain the model corresponding to the analytic ID.

Step 3: UDM verifies whether the UE is qualified to obtain the model corresponding to the analytic ID, and feeds back the response to SMF.

Step 4: SMF sends a query request to NRF, triggering a search request to NRF's NWDAF. The NWDAF should be able to provide the model corresponding to the Analytic ID that the UE hopes to obtain.

Step 6: SMF triggers a subscription request to NWDAF, that is, SMF replaces the UE to subscribe to the analytic ID in NWDAF.

For example, the above subscription request is Nnwdaf_MLModelProvision_Subscribe, which contains UE SUPI and Analytic ID. The analysis identifier is used to indicate the type of model requested by the terminal. It can also indicate the provider ID of the model. For example, it indicates to obtain the model provided by Tencent. .

Step 7: NWDAF feeds back the subscription response to SMF.

Step 8: NWDAF checks whether a model that meets the requirements has been saved in ADRF, or obtains the corresponding model based on the Analytic ID.

Step 9: NWDAF sends the obtained model, or the destination IP address saved in the model, to SMF through a notify message.

For example, the above notification signaling is: Nnwdaf_MLModelProvision_Notify. The communication signaling can notify the IP address, FQDN, URL, etc. saved in the model. Model file sizes are usually relatively large.

Step 10: SMF triggers a UPF or UL CL selection process based on the IP address of the model, and establishes a user plane to the destination IP address corresponding to the model. Among them, during the SMF process, N4session must be established to the selected UPF or UL CL to enable the UE's PDU session to be established to the destination IP address.

Step 11: The SMF sends a NAS message to the UE. The NAS message includes indication information indicating that the model corresponding to the Analytic ID is successfully obtained. In addition, the NAS message may also include the destination IP address saved by the model.

Step 12: The UE establishes an IP connection with the AF or third-party server with the model to obtain the required model.

Application scenario 5

Application scenario 5 of the embodiment of this application mainly describes the process of AF requesting a model. See Figure 8E, including the following steps:

Step 1: AF requests a model from NEF, which is, for example, an AI model. What is provided here can be the model file itself, or an IP address or FQDN where the model file is saved, or a URL, etc. At the same time, this request can also include the model provider identifier, which is used to mark which third-party application provides the model, and the category of the model. For example, use the analysis identifier to indicate the category or function of the model.

Step 2: NEF verifies the AF request, and if the verification passes, NWDAF saves the request.

Step 3: NEF forwards AF's request to NWDAF, that is, AF requests the model to be provided to NWDAF.

Step 4: NWDAF agrees or rejects AF's request. If NWDAF agrees to AF's request, NWDAF saves the model, or NWDAF saves the IP address where the model file is located.

Step 5: NWDAF feedback response to NEF.

Step 6: NEF feedback response to AF.

Application scenario 6

Application scenario 6 of the embodiment of this application mainly describes the process of the NWDAF subscription model. See Figure 8F, including the following steps:

Step 1: NWDAF initiates a request to subscribe to the AF model, which is, for example, an AI model. NWDAF can also indicate the category of the subscribed model, such as the analysis ID, and can also indicate the provider ID of the subscribed model.

Step 2: NEF verifies NWDAF's request, and if the verification passes, NWDAF saves the request.

Step 3: NEF sends a subscription request to AF to subscribe to AF's model.

Step 4: AF verifies whether the model can be provided.

Steps 5 and 6: AF sends a response to NEF, and NEF sends a response to NWDAF, indicating that AF has received the subscription notification from NWDAF.

Steps 7 and 8: NEF sends a notification to NWDAF, which contains the model subscribed by NWDAF, or the address of the subscribed model file.

Application scenario 7

Application scenario 7 of the embodiment of this application mainly describes the process of the UE performing service operations based on analysis and/or prediction results. See Figure 8G, including the following steps:

Step 1 to step 9: are basically the same as step 1 to step 9 shown in Figure 8A and will not be described again here.

Step 10: The SMF sends the received analysis results to the UE through the NAS message.

Step 11: The UE decides where and/or when to send the model based on the received analysis results.

Step 12: The UE performs model upload or federated learning interim result reporting at the determined target location and/or target time.

Application scenario 8

Application scenario 8 of the embodiment of this application mainly describes the process of the UE performing service operations based on analysis and/or prediction results. See Figure 8H, including the following steps:

Steps 1 to 12: are basically the same as steps 1 to 12 shown in Figure 8G, except that SMF is replaced by AMF. To avoid repetition, they will not be described again.

In step 1, the terminal sends a registration request to the AMF. The registration request includes an analysis container, and the analysis container includes the analysis and/or prediction results requested by the terminal, or the requested model.

For the information processing method provided by the embodiments of the present application, the execution subject may be an information processing device. In the embodiments of the present application, an information processing device executing an information processing method is used as an example to illustrate the information processing device provided by the embodiments of the present application.

Please refer to Figure 9. Figure 9 is a schematic structural diagram of an information processing device provided by an embodiment of the present application. The device is applied to a first communication device, such as a terminal. As shown in Figure 9, the information processing device Device 90 includes:

The first sending module 91 is configured to send a first request, where the first request includes an analysis identifier, and the first request is used to request at least one of the following: analysis and/or prediction results corresponding to the analysis identifier, the Analyze the model corresponding to the logo;

The first execution module 92 is used to perform a first operation, where the first operation includes at least one of the following:

Receive the model corresponding to the analysis identifier;

Optionally, the first execution module 92 is specifically configured to: establish a PDU session with the first storage address, and obtain the analysis and/or prediction results through the established PDU session; and/or establish a PDU session with the first storage address. The PDU session at the second storage address, and the model is obtained through the established PDU session.

Optionally, the first execution module 92 is also used to execute at least one of the following:

sending the analysis and/or prediction results to an application on the first communication device;

Send the model to an application on the first communications device.

Optionally, the analysis identification is used to characterize the category of analysis and/or prediction results requested by the first communication device, and different analysis identifications represent different analysis and/or prediction results, and/or, the analysis identification is used Yu Cheng said the first pass The feature class of the model requested by the information device.

Optionally, the analysis and/or prediction results corresponding to the analysis identification include at least one of the following:

Network data analysis and/or prediction results related to slice load levels;

Network element load analysis and/or prediction results;

Network performance analysis and/or prediction results;

Terminal mobility analysis and/or prediction results;

Terminal communication analysis and/or prediction results;

Network data analysis and/or prediction results related to abnormal behavior;

User data congestion analysis and/or prediction results;

QoS sustainability analysis and/or prediction results;

Dispersion analysis and/or forecast results;

Analysis and/or prediction results of WLAN performance;

Data network performance analysis and/or prediction results.

Optionally, the first storage address includes at least one of the following: the IP address of the storage location of the analysis and/or prediction results, the fully qualified domain name FQDN, and the uniform resource locator URL;

And/or, the second storage address includes at least one of the following: the IP address, FQDN, and URL of the storage location of the model file.

Perform business operations based on the obtained analysis and/or prediction results;

Based on the obtained model, perform at least one of the following: build a model, perform model training, and perform model inference.

The information processing device 90 provided by the embodiment of the present application can implement each process implemented by the method embodiment in Figure 2 and achieve the same technical effect. To avoid duplication, details will not be described here.

Please refer to Figure 10. Figure 10 is a schematic structural diagram of an information processing device provided by an embodiment of the present application. The device is applied to a second communication device. The second communication device is, for example, SMF, AMF, etc., as shown in Figure 10. The information processing device 100 includes:

The first receiving module 101 is configured to receive a first request, where the first request includes an analysis identifier, and the first request is used to request at least one of the following: analysis and/or prediction results corresponding to the analysis identifier, the Analyze the model corresponding to the logo;

The acquisition module 102 is configured to acquire second information according to the first request. The second information includes at least one of the following: analysis and/or prediction results corresponding to the analysis identifier, analysis and prediction results corresponding to the analysis identifier. /or the first storage address of the prediction result, the model corresponding to the analysis identification, and the second storage address of the model corresponding to the analysis identification;

The second execution module 103 is configured to perform a second operation according to the second information, where the second operation includes at least one of the following:

Optionally, the second execution module 103 is also configured to send a second request before obtaining the second information, where the second request is used to request verification whether the first communication device has the ability to obtain the third information and/or the fourth Qualification of Information;

The obtaining module 102 is specifically configured to: obtain the second information when it is verified that the first communication device is qualified to obtain the third information and/or the fourth information.

Optionally, the second execution module 103 is also configured to send a third request before sending the fourth information to the third communication device. The third request is used to request to query the third communication device. The device is capable of providing services or establishing sessions for the first communication device, and/or the service area of the third communication device matches the location of the first communication device.

Optionally, the second execution module 103 is specifically configured to: send a fourth request to the sixth communication device, where the fourth request includes the fourth information, and the fourth request is used to request verification of whether to open the fourth communication device. information to the third communication device and/or the first communication device, or to verify whether the first communication device and/or the third communication device are qualified to obtain the fourth information, and if the verification is passed , the sixth communication device sends the fourth information to the third communication device.

Optionally, the second execution module 103 is also configured to select UPF or UL CL, which is used to establish or carry a PDU session to the storage address of the third information.

The information processing device 100 provided by the embodiment of the present application can implement each process implemented by the method embodiment in Figure 3 and achieve the same technical effect. To avoid duplication, the details will not be described here.

Please refer to Figure 11. Figure 11 is a schematic structural diagram of an information processing device provided by an embodiment of the present application. The device is applied to a third communication device, such as an AF. As shown in Figure 11, the information processing device Device 110 includes:

The second receiving module 111 is configured to receive fourth information. The fourth information is obtained by the fourth communication device based on the acquired analysis identification. The fourth information includes at least one of the following: analysis and/or analysis corresponding to the analysis identification. Or the model corresponding to the prediction results and the analysis identification;

The second sending module 112 is used to send the fourth information to the first communication device.

Optionally, the second sending module 112 is specifically configured to: through a session between the third communication device and the first communication device, Send the fourth information to the first communication device.

The information processing device 110 provided by the embodiment of the present application can implement each process implemented by the method embodiment in Figure 4 and achieve the same technical effect. To avoid duplication, details will not be described here.

Please refer to Figure 12. Figure 12 is a schematic structural diagram of an information processing device provided by an embodiment of the present application. The device is applied to a fourth communication device. The fourth communication device is, for example, NWDAF. As shown in Figure 12, the information processing device Device 120 includes:

The third sending module 121 is used to send a fifth request, the fifth request is used to request to query a third communication device, the third communication device can provide services or establish a session for the first communication device, and/or, The service area of the third communication device matches the location of the first communication device;

The fourth sending module 122 is configured to send fourth information to the queried third communication device. The fourth information is obtained by the fourth communication device based on the obtained analysis identification. The fourth information includes at least one of the following: : The analysis and/or prediction results corresponding to the analysis identifier, and the model corresponding to the analysis identifier.

Optionally, the fourth sending module 122 is specifically configured to send a sixth request to the sixth communication device, where the sixth request includes the fourth information, and the sixth request is used to request verification whether to open the fourth information. to the third communication device and/or the first communication device, or to verify whether the first communication device and/or the third communication device is qualified to obtain the fourth information; and if the verification is passed, The fourth information is sent by the sixth communication device to the third communication device.

The information processing device 120 provided by the embodiment of the present application can implement each process implemented by the method embodiment in Figure 5 and achieve the same technical effect. To avoid duplication, the details will not be described here.

Please refer to Figure 13. Figure 13 is a schematic structural diagram of an information processing device provided by an embodiment of the present application. The device is applied to a fifth communication device. The fifth communication device is, for example, UDM. As shown in Figure 13, the information processing device Device 130 includes:

The third receiving module 131 is configured to receive a second request, which is used to request verification of whether the first communication device is qualified to obtain the third information and/or the fourth information. The fourth information is obtained by the fourth communication device based on the obtained analysis identification. The third information includes at least one of the following: the first storage address of the analysis and/or prediction results corresponding to the analysis identification, and the model corresponding to the analysis identification. the second storage address; the fourth information includes at least one of the following: analysis and/or prediction results corresponding to the analysis identification, and a model corresponding to the analysis identification.

The fifth sending module 132 is configured to send a verification result, where the verification result is used to indicate that the first communication device is qualified to obtain the third information and/or the fourth information, or to indicate that the first communication device is not qualified to obtain the third information and/or the fourth information. Eligibility of third information and/or fourth information.

The information processing device 130 provided by the embodiment of the present application can implement each process implemented by the method embodiment in Figure 6 and achieve the same technical effect. To avoid duplication, the details will not be described here.

Please refer to Figure 14. Figure 14 is a schematic structural diagram of an information processing device provided by an embodiment of the present application. The device is applied to a fifth communication device, such as NEF. As shown in Figure 14, the information The processing device 140 includes:

The fourth receiving module 141 is configured to receive a fourth request, the fourth request including fourth information, and the fourth request is used to request verification whether to open the fourth information to the third communication device and/or the first communication device, or verify whether the first communication device and/or the third communication device are qualified to obtain the fourth information, the fourth information is obtained by the fourth communication device based on the obtained analysis identification, the fourth communication device The information includes at least one of the following: analysis and/or prediction results corresponding to the analysis identification, and models corresponding to the analysis identification;

The sixth sending module 142 is configured to send the fourth information to the third communication device if the verification is passed.

The information processing device 140 provided by the embodiment of the present application can implement each process implemented by the method embodiment in Figure 7 and achieve the same technical effect. To avoid duplication, details will not be described here.

Optionally, as shown in Figure 15, this embodiment of the present application also provides a communication device 150, which includes a processor 151 and a memory 152. The memory 152 stores programs or instructions that can be run on the processor 151. When the program or instruction is executed by the processor 151, each step of the above information processing method embodiment can be implemented, and the same technical effect can be achieved. To avoid duplication, the details will not be described here.

Embodiments of the present application also provide a communication system, including a terminal and a network side device. The terminal is used to perform the steps of the information processing method described in Figure 2. The network side device is used to perform the information processing described in Figure 3. The steps of the method, or the steps of the information processing method described in Figure 4, or the steps of the information processing method described in Figure 5, or the steps of the information processing method described in Figure 6, or the steps of the information processing method described in Figure 7 step.

Embodiments of the present application also provide a readable storage medium. Programs or instructions are stored on the readable storage medium. When the program or instructions are executed by a processor, each process of the above information processing method embodiment is implemented, and the same can be achieved. The technical effects will not be repeated here to avoid repetition.

Wherein, the processor is the processor in the terminal described in the above embodiment. The readable storage medium includes computer readable storage media, such as computer read-only memory ROM, random access memory RAM, magnetic disk or optical disk, etc.

An embodiment of the present application further provides a chip. The chip includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement the above information processing method embodiments. Each process can achieve the same technical effect. To avoid duplication, it will not be described again here.

It should be understood that the chips mentioned in the embodiments of this application may also be called system-on-chip, system-on-a-chip, system-on-chip or system-on-chip, etc.

Embodiments of the present application further provide a computer program/program product. The computer program/program product is stored in a storage medium. The computer program/program product is executed by at least one processor to implement the above information processing method embodiment. Each process can achieve the same technical effect. To avoid repetition, we will not go into details here.

It should be noted that, in this document, the terms "comprising", "comprises" or any other variations thereof are intended to cover a non-exclusive inclusion, such that a process, method, article or device that includes a series of elements not only includes those elements, It also includes other elements not expressly listed or inherent in the process, method, article or apparatus. Without further limitation, an element defined by the statement "comprises a..." does not exclude the presence of additional identical elements in a process, method, article or apparatus that includes that element. In addition, it needs to be pointed out However, the scope of the methods and devices in the embodiments of the present application is not limited to performing the functions in the order shown or discussed, but may also include performing the functions in a substantially simultaneous manner or in a reverse order depending on the functions involved, for example, The described methods may be performed in an order different from that described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus the necessary general hardware platform. Of course, it can also be implemented by hardware, but in many cases the former is better. implementation. Based on this understanding, the technical solution of the present application can be embodied in the form of a computer software product that is essentially or contributes to the existing technology. The computer software product is stored in a storage medium (such as ROM/RAM, disk , CD), including several instructions to cause a terminal (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in various embodiments of this application.

The embodiments of the present application have been described above in conjunction with the accompanying drawings. However, the present application is not limited to the above-mentioned specific implementations. The above-mentioned specific implementations are only illustrative and not restrictive. Those of ordinary skill in the art will Inspired by this application, many forms can be made without departing from the purpose of this application and the scope protected by the claims, all of which fall within the protection of this application.

Claims

An information processing method that includes:

The first communication device sends a first request, where the first request includes an analysis identifier, and the first request is used to request at least one of the following: analysis and/or prediction results corresponding to the analysis identifier, analysis results corresponding to the analysis identifier, Model;

The first communication device performs a first operation, and the first operation includes at least one of the following:

Receive analysis and/or prediction results corresponding to the analysis identification;

Receive the model corresponding to the analysis identifier;

Receive first indication information, the first indication information being used to indicate that the analysis and/or prediction results corresponding to the analysis identification are successfully obtained;

Receive second indication information, the first indication information being used to indicate that the model corresponding to the analysis identification is successfully obtained;

Receive the first storage address of the analysis and/or prediction results corresponding to the analysis identification, and obtain the analysis and/or prediction results according to the first storage address;

Receive the second storage address of the model corresponding to the analysis identification, and obtain the model according to the second storage address.
The method according to claim 1, wherein obtaining the analysis and/or prediction results according to the first storage address includes:

The first communication device establishes a packet data unit PDU session with the first storage address, and obtains the analysis and/or prediction results through the established PDU session;

and / or,

Obtaining the model according to the second storage address includes:

The first communication device establishes a PDU session with the second storage address, and obtains the model through the established PDU session.
The method according to claim 1 or 2, wherein the method further includes at least one of the following:

The first communication device sends the analysis and/or prediction results to an application on the first communication device;

The first communications device sends the model to an application on the first communications device.
The method according to claim 1 or 2, wherein:

The analysis identifier is used to characterize the category of analysis and/or prediction results requested by the first communication device, and different analysis identifiers represent different analysis and/or prediction results;

and / or,

The analysis identifies functional categories characterizing the model requested by the first communications device.
The method according to claim 1 or 2, wherein: the first storage address includes at least one of the following: the IP address of the storage location of the analysis and/or prediction results, a fully qualified domain name FQDN, and a uniform resource locator URL. ;

and / or,

The second storage address includes at least one of the following: the IP address of the storage location of the model file, FQDN, URL.
The method of claim 1, wherein the method further includes at least one of the following:

The first communication device performs business operations based on the obtained analysis and/or prediction results;

The first communication device performs at least one of the following according to the obtained model: building a model, performing model training, and performing model inference.
An information processing method that includes:

The second communication device receives a first request, where the first request includes an analysis identifier, and the first request is used to request at least one of the following: analysis and/or prediction results corresponding to the analysis identifier, analysis results corresponding to the analysis identifier, Model;

The second communication device obtains second information according to the first request, and the second information includes at least one of the following: analysis and/or prediction results corresponding to the analysis identification, analysis and prediction results corresponding to the analysis identification /or the first storage address of the prediction result, the model corresponding to the analysis identification, and the second storage address of the model corresponding to the analysis identification;

The second communication device performs a second operation based on the second information, and the second operation includes at least one of the following:

Send third information to the first communication device, where the third information includes at least one of the following: a first storage address of the analysis and/or prediction results corresponding to the analysis identification, and a second storage address of the model corresponding to the analysis identification. address;

Send fourth information to the third communication device, where the fourth information includes at least one of the following: analysis and/or prediction results corresponding to the analysis identification, and a model corresponding to the analysis identification;

Send first indication information to the first communication device, where the first indication information is used to indicate that the analysis and/or prediction results corresponding to the analysis identification are successfully obtained;

Send second indication information to the first communication device, where the first indication information is used to indicate that the model corresponding to the analysis identification is successfully obtained.
The method according to claim 7, wherein before obtaining the second information, the method further includes:

The second communication device sends a second request, the second request is used to request verification whether the first communication device is qualified to obtain the third information and/or the fourth information;

Wherein, the obtaining the second information includes:

When it is verified that the first communication device is qualified to obtain the third information and/or the fourth information, the second communication device obtains the second information.
The method according to claim 7, wherein before sending the fourth information to the third communication device, the method further includes:

The second communication device sends a third request, the third request is used to request to query the third communication device, the third communication device can provide services or establish a session for the first communication device, and/or, the The service area of the third communication device matches the location of the first communication device.
The method according to any one of claims 7 to 9, wherein sending the fourth information to the third communication device includes:

the second communication device sends a fourth request to the sixth communication device, the fourth request including the fourth information, The fourth request is used to request verification whether to open the fourth information to the third communication device and/or the first communication device, or to verify whether the first communication device and/or the third communication device have the ability to obtain The qualification of the fourth information, and if the verification is passed, the sixth communication device sends the fourth information to the third communication device.
The method according to claim 7, wherein in the case of sending the third information to the first communication device, the method further includes:

The second communication device selects UPF or UL CL, and the UPF or UL CL is used to establish or carry a PDU session to the storage address of the third information.
An information processing method that includes:

The third communication device receives fourth information, which is obtained by the fourth communication device based on the obtained analysis identification. The fourth information includes at least one of the following: analysis and/or prediction results corresponding to the analysis identification, The model corresponding to the analysis identification;

The third communication device sends the fourth information to the first communication device.
The method according to claim 12, wherein said sending the fourth information to the first communication device includes:

The third communication device sends the fourth information to the first communication device through a session with the first communication device.
An information processing method that includes:

The fourth communication device sends a fifth request, the fifth request is used to request to query the third communication device, the third communication device can provide services or establish a session for the first communication device, and/or, the third communication device The service area of the device matches the location of the first communication device;

The fourth communication device sends fourth information to the queried third communication device. The fourth information is obtained by the fourth communication device based on the obtained analysis identification. The fourth information includes at least one of the following: The analysis and/or prediction results corresponding to the analysis identification, and the model corresponding to the analysis identification.
The method according to claim 14, wherein sending the fourth information to the queried third communication device includes:

The fourth communication device sends a sixth request to the sixth communication device, the sixth request includes the fourth information, and the sixth request is used to request verification whether to open the fourth information to the third communication device. device and/or the first communication device, or verify whether the first communication device and/or the third communication device are qualified to obtain the fourth information; and if the verification is passed, the sixth communication device The device sends the fourth information to the third communication device.
An information processing method that includes:

The fifth communication device receives a second request, the second request is used to request verification whether the first communication device is qualified to obtain the third information and/or the fourth information, the third information and/or the fourth information is the third information. The fourth communication device obtains based on the obtained analysis identification that the third information includes at least one of the following: the first storage address of the analysis and/or prediction results corresponding to the analysis identification, and the second storage address of the model corresponding to the analysis identification. Address; the fourth information includes at least one of the following: the analysis and/or prediction results corresponding to the analysis identification, and the model corresponding to the analysis identification;

The fifth communication device sends a verification result, the verification result is used to indicate that the first communication device has the qualification to obtain the third information and/or the fourth information, or indicates that the first communication device does not have the qualification to obtain the third information. Information and/or qualifications of the fourth information.
An information processing method that includes:

The sixth communication device receives a fourth request, the fourth request includes fourth information, the fourth request is used to request verification whether to open the fourth information to the third communication device and/or the first communication device, or, Verify whether the first communication device and/or the third communication device is qualified to obtain the fourth information. The fourth information is obtained by the fourth communication device based on the obtained analysis identification. The fourth information includes at least the following: One item: the analysis and/or prediction results corresponding to the analysis identifier, and the model corresponding to the analysis identifier;

If the verification is passed, the sixth communication device sends the fourth information to the third communication device.
An information processing device, applied to a first communication device, including:

A first sending module, configured to send a first request, where the first request includes an analysis identifier, and the first request is used to request at least one of the following: analysis and/or prediction results corresponding to the analysis identifier, the analysis Identify the corresponding model;

A first execution module, configured to perform a first operation, where the first operation includes at least one of the following:

Receive analysis and/or prediction results corresponding to the analysis identification;

Receive the model corresponding to the analysis identifier;

Receive first indication information, the first indication information being used to indicate that the analysis and/or prediction results corresponding to the analysis identification are successfully obtained;

Receive second indication information, the first indication information being used to indicate that the model corresponding to the analysis identification is successfully obtained;

Receive the first storage address of the analysis and/or prediction results corresponding to the analysis identification, and obtain the analysis and/or prediction results according to the first storage address;

Receive the second storage address of the model corresponding to the analysis identification, and obtain the model according to the second storage address.
An information processing device, applied to a second communication device, including:

A first receiving module, configured to receive a first request, where the first request includes an analysis identifier, and the first request is used to request at least one of the following: analysis and/or prediction results corresponding to the analysis identifier, the analysis Identify the corresponding model;

An acquisition module, configured to acquire second information according to the first request, where the second information includes at least one of the following: analysis and/or prediction results corresponding to the analysis identification, analysis and/or prediction results corresponding to the analysis identification Or the first storage address of the prediction result, the model corresponding to the analysis identification, and the second storage address of the model corresponding to the analysis identification;

A second execution module, configured to perform a second operation according to the second information, where the second operation includes at least one of the following:

Send third information to the first communication device, where the third information includes at least one of the following: a first storage address of the analysis and/or prediction results corresponding to the analysis identification, and a second storage address of the model corresponding to the analysis identification. address;

Send fourth information to the third communication device, where the fourth information includes at least one of the following: analysis and/or prediction results corresponding to the analysis identification, and a model corresponding to the analysis identification;

Send first indication information to the first communication device, where the first indication information is used to indicate that the analysis and/or prediction results corresponding to the analysis identification are successfully obtained;

Send second indication information to the first communication device, where the first indication information is used to indicate that the model corresponding to the analysis identification is successfully obtained.
An information processing device applied to a third communication device, including:

The second receiving module is configured to receive fourth information. The fourth information is obtained by the fourth communication device based on the obtained analysis identification. The fourth information includes at least one of the following: analysis corresponding to the analysis identification and/or The prediction results and the model corresponding to the analysis identifier;

The second sending module is configured to send the fourth information to the first communication device.
An information processing device applied to a fourth communication device, including:

The third sending module is configured to send a fifth request, the fifth request is used to request to query a third communication device, the third communication device can provide services or establish a session for the first communication device, and/or, the The service area of the third communication device matches the location of the first communication device;

The fourth sending module is configured to send fourth information to the queried third communication device. The fourth information is obtained by the fourth communication device based on the obtained analysis identification. The fourth information includes at least one of the following: The analysis and/or prediction results corresponding to the analysis identification, and the model corresponding to the analysis identification.
An information processing device applied to a fifth communication device, including:

A third receiving module, configured to receive a second request, the second request being used to request verification of whether the first communication device is qualified to obtain the third information and/or the fourth information, the third information and/or the fourth information The information is obtained by the fourth communication device based on the obtained analysis identification, and the third information includes at least one of the following: the first storage address of the analysis and/or prediction results corresponding to the analysis identification, and the first storage address of the model corresponding to the analysis identification. a second storage address; the fourth information includes at least one of the following: analysis and/or prediction results corresponding to the analysis identification, and a model corresponding to the analysis identification;

A fifth sending module, configured to send a verification result, the verification result being used to indicate that the first communication device is qualified to obtain the third information and/or the fourth information, or to indicate that the first communication device is not qualified to obtain the third information. Eligibility for third information and/or fourth information.
An information processing device applied to a sixth communication device, including:

The fourth receiving module is used to receive a fourth request, the fourth request includes fourth information, and the fourth request is used to request verification whether to open the fourth information to the third communication device and/or the first communication device. , or, verify whether the first communication device and/or the third communication device is qualified to obtain the fourth information, the fourth information is obtained by the fourth communication device based on the obtained analysis identification, the fourth information Including at least one of the following: analysis and/or prediction results corresponding to the analysis identification, and models corresponding to the analysis identification;

A sixth sending module, configured to send the fourth information to the third communication device if the verification is passed.
A communication device, including a processor and a memory. The memory stores programs or instructions that can be run on the processor. When the program or instructions are executed by the processor, the implementation of any one of claims 1 to 6 is achieved. The steps of the information processing method, or the steps of implementing the information processing method as described in any one of claims 7 to 11, or or realize the steps of the information processing method as claimed in claim 12 or 13, or the steps of realizing the information processing method as claimed in claim 14 or 15, or the steps of realizing the information processing method as claimed in claim 16, or Steps to implement the information processing method as claimed in claim 17.
A communication system, including a terminal and a network side device, the terminal is used to perform the steps of the information processing method as claimed in any one of claims 1 to 6, and the network side device is used to perform the steps of the information processing method as claimed in any one of claims 7 to 11. The steps of the information processing method according to any one of them, or the steps of the information processing method as claimed in claim 12 or 13, or the steps of the information processing method as claimed in claim 14 or 15, or as claimed in claim 16. The steps of the information processing method described in claim 17, or the steps of the information processing method described in claim 17.
A readable storage medium that stores programs or instructions that, when executed by a processor, implement the steps of the information processing method according to any one of claims 1 to 6, or implement The steps of the information processing method as claimed in any one of claims 7 to 11, or the steps of implementing the information processing method as claimed in claim 12 or 13, or the steps of implementing the information processing method as claimed in claim 14 or 15. Steps, or steps to implement the information processing method as claimed in claim 16, or steps to implement the information processing method as claimed in claim 17.