CN118044167A

CN118044167A - Communication method and device

Info

Publication number: CN118044167A
Application number: CN202280064252.3A
Authority: CN
Inventors: 封召; 辛阳; 王远; 韦庆
Original assignee: Huawei Technologies Co Ltd
Current assignee: Huawei Technologies Co Ltd
Priority date: 2022-01-28
Filing date: 2022-01-28
Publication date: 2024-05-14
Also published as: WO2023141985A1

Abstract

The application provides a communication method and a communication device. The method comprises the following steps: the service providing network element obtains the characteristic information of the data analysis network element, wherein the characteristic information comprises the model operation platform type and/or model interoperation standard supported by the data analysis network element; the service providing network element receives a request message from a service request network element, wherein the request message is used for requesting to discover a target data analysis network element, and the request message comprises a model operation platform type and/or model interoperation standard required by the service request network element; the service providing network element determines a target data analysis network element according to the characteristic information and the request message; the service providing network element sends the address information and/or the identification information of the target data analysis network element to the service requesting network element. The target data analysis network element and the service request network element may belong to different manufacturers, so that the AI model can realize cross-manufacturer distribution, the limitation that the AI model can only be shared with the manufacturer is broken, and the flexibility of AI model distribution is improved.

Description

Communication method and device

Technical Field

The present application relates to the field of communications technologies, and in particular, to a communication method and apparatus.

Background

Network data analysis functions (network DATA ANALYTICS functions, NWDAF) network elements can be divided into NWDAF supporting model reasoning, NWDAF supporting model training, and NWDAF supporting model training and reasoning. Wherein NWDAF supporting reasoning can request an artificial intelligence (ARTIFICIALINTELLIGENCE, AI) model (also referred to as a machine learning (MACHINE LEARNING, ML) model) from NWDAF supporting model training, or from NWDAF supporting model training and reasoning, for data reasoning.

Currently, to obtain an AI model, NWDAF supporting reasoning is configured with one or more addresses supporting model training NWDAF, the NWDAF supporting reasoning belonging to the same vendor as NWDAF supporting model training. When there is an AI model demand, the support reasoning NWDAF selects the appropriate support model training NWDAF.

However, due to other factors such as cost, some vendors deploy only part of the types NWDAF, e.g., only NWDAF supporting reasoning, but not NWDAF supporting model training. Resulting in inability of NWDAF of the manufacturer to obtain the corresponding model for data analysis.

Disclosure of Invention

The application provides a communication method and a communication device, which break the limit that a model can only be shared with manufacturers.

In a first aspect, a communication method is provided, including:

The service providing network element obtains the characteristic information of the data analysis network element, wherein the characteristic information comprises at least one of a model operation platform type supported by the data analysis network element and a model interoperation standard supported by the data analysis network element; the service providing network element receives a request message from a service request network element, wherein the request message is used for requesting to discover a target data analysis network element, and the request message comprises a model operation platform type required by the service request network element and/or a model interoperation standard required by the service request network element; the service providing network element determines a target data analysis network element according to the characteristic information and the request message, wherein the data analysis network element comprises the target data analysis network element; the service providing network element sends the address information and/or the identification information of the target data analysis network element to the service requesting network element.

It should be understood that the number of data analysis network elements may be at least one, and the target data analysis network element is configured to provide the AI model or the address information of the AI model.

According to the method of the application, the service providing network element determines the target data analysis network element according to the characteristic information of the data analysis network element and the request information of the service request network element. The target data analysis network element and the service request network element may belong to different manufacturers, so that the AI model can realize cross-manufacturer distribution, the limitation that the AI model can only be shared with the manufacturer is broken, and the flexibility of AI model distribution is improved.

With reference to the first aspect, in certain implementation manners of the first aspect, the model operation platform type supported by the target data analysis network element includes a model operation platform type required by the service request network element, and the model interoperability standard supported by the target data analysis network element does not include a model interoperability standard required by the service request network element; or the model operation platform type supported by the target data analysis network element does not comprise the model operation platform type required by the service request network element, and the model interoperation standard supported by the target data analysis network element comprises the model interoperation standard required by the service request network element; or the model operation platform type supported by the target data analysis network element comprises the model operation platform type required by the service request network element, and the model interoperation standard supported by the target data analysis network element comprises the model interoperation standard required by the service request network element.

With reference to the first aspect, in certain implementation manners of the first aspect, the determining, by the service providing network element, the target data analysis network element according to the feature information and the request message includes:

the service providing network element determines a target data analysis network element according to the model operation platform type and the priority of the model interoperation standard.

With reference to the first aspect, in certain implementations of the first aspect, the model runtime platform type has a priority that is higher than a priority of the model interoperability standard.

With reference to the first aspect, in certain implementations of the first aspect, the method further includes:

the service providing network element sends the model operation platform type supported by the target data analysis network element and/or the model interoperation standard supported by the target data analysis network element to the service request network element.

With reference to the first aspect, in certain implementation manners of the first aspect, the feature information further includes a type of the data analysis network element, an analysis type supported by the data analysis network element, a vendor identification of the data analysis network element, and a service area identification of the data analysis network element.

With reference to the first aspect, in certain implementation manners of the first aspect, the service providing network element is a network storage function network element; the service request network element is a network data analysis function network element supporting reasoning; the target data analysis network element is a network data analysis function network element supporting model training or a network data analysis function network element supporting reasoning and model training.

In a second aspect, a communication method is provided, including:

The service request network element sends a request message to the service providing network element, wherein the request message is used for requesting to discover the target data analysis network element, and the request message comprises a model operation platform type required by the service request network element and/or a model interoperation standard required by the service request network element; the service request network element receives address information and/or identification information of a target data analysis network element from the service providing network element; the service request network element sends a model request message to the target data analysis network element according to the address information and/or the identification information, wherein the model request message comprises a target analysis type, and the model request message is used for requesting a model corresponding to the target analysis type; the service request network element receives a model corresponding to the target analysis type from the target data analysis network element or an address of the model corresponding to the target analysis type.

With reference to the second aspect, in some implementations of the second aspect, the model operation platform type supported by the target data analysis network element includes a model operation platform type required by the service request network element, and the model interoperability standard supported by the target data analysis network element does not include a model interoperability standard required by the service request network element; or the model operation platform type supported by the target data analysis network element does not comprise the model operation platform type required by the service request network element, and the model interoperation standard supported by the target data analysis network element comprises the model interoperation standard required by the service request network element; or the model operation platform type supported by the target data analysis network element comprises the model operation platform type required by the service request network element, and the model interoperation standard supported by the target data analysis network element comprises the model interoperation standard required by the service request network element.

With reference to the second aspect, in certain implementations of the second aspect, the method further includes:

The service request network element receives the model operation platform type supported by the target data analysis network element and/or the model interoperation standard supported by the target data analysis network element from the service providing network element; the model operation platform type supported by the target data analysis network element does not comprise the model operation platform type required by the service request network element, the model interoperation standard supported by the target data analysis network element comprises the model interoperation standard required by the service request network element, and the model request message comprises the model interoperation standard required by the service request network element.

With reference to the second aspect, in certain implementations of the second aspect, the service providing network element is a network storage function network element; the service request network element is a network data analysis function network element supporting reasoning; the target data analysis network element is a network data analysis function network element supporting model training or a network data analysis function network element supporting reasoning and model training.

In a third aspect, a communication method is provided, including:

The service providing network element obtains the characteristic information of the first data analysis network element, wherein the characteristic information comprises analysis types supported by the first data analysis network element; the service providing network element receives a request message from a service request network element, wherein the request message is used for requesting to discover a second data analysis network element, the request message comprises a target analysis type, and the analysis type supported by the second data analysis network element comprises the target analysis type; the first data analysis network element comprises a second data analysis network element; the service providing network element determines a second data analysis network element according to the characteristic information and the request message; the service providing network element sends at least one of the model operation platform type supported by the second data analysis network element and the model interoperation standard supported by the second data analysis network element to the service requesting network element, and address information and/or identification information of the second data analysis network element.

It is understood that the first data analysis network element comprises at least one data analysis network element and the second data analysis network element is a candidate data analysis network element in the following.

With reference to the third aspect, in some implementations of the third aspect, the feature information further includes a model running platform type supported by the first data analysis network element and/or a model interoperability standard supported by the first data analysis network element.

With reference to the third aspect, in certain implementations of the third aspect, the feature information further includes at least one of a type of the first data analysis network element, a vendor identification of the first data analysis network element, and a service area identification of the first data analysis network element.

With reference to the third aspect, in some implementations of the third aspect, the service providing network element is a network storage function network element; the service request network element is a network data analysis function network element supporting reasoning; the second data analysis network element comprises a network data analysis function network element supporting model training and/or a network data analysis function network element supporting reasoning and model training.

In a fourth aspect, a communication method is provided, including:

The service request network element sends a request message to the service providing network element, wherein the request message is used for requesting to discover the candidate data analysis network element, the request message comprises a target analysis type, and the analysis type supported by the candidate data analysis network element comprises the target analysis type; the service request network element receives the characteristic information of the candidate data analysis network element from the service providing network element, wherein the characteristic information comprises at least one of a model operation platform type supported by the candidate data analysis network element and a model interoperation standard supported by the candidate data analysis network element; the service request network element determines a target data analysis network element according to the characteristic information; the candidate data analysis network element comprises the target data analysis network element; the service request network element sends a model request message to the target data analysis network element, wherein the model request message is used for requesting a model corresponding to the target analysis type; the service request network element receives the address of the model corresponding to the target analysis type or the model corresponding to the target analysis type from the target data analysis network element.

It should be appreciated that the target data analysis network element is used to provide the AI model or address information of the AI model.

According to the method of the application, the service request network element can determine the target data analysis network element according to the characteristic information of the candidate data analysis network element. The target data analysis network element and the service request network element may belong to different manufacturers, so that the AI model can realize cross-manufacturer distribution, the limitation that the AI model can only be shared with the manufacturer is broken, and the flexibility of AI model distribution is improved.

With reference to the fourth aspect, in some implementations of the fourth aspect, the model operation platform type supported by the target data analysis network element includes a model operation platform type required by the service request network element, and the model interoperability standard supported by the target data analysis network element does not include a model interoperability standard required by the service request network element; or the model operation platform type supported by the target data analysis network element does not comprise the model operation platform type required by the service request network element, and the model interoperation standard supported by the target data analysis network element comprises the model interoperation standard required by the service request network element; or the model operation platform type supported by the target data analysis network element comprises the model operation platform type required by the service request network element, and the model interoperation standard supported by the target data analysis network element comprises the model interoperation standard required by the service request network element.

With reference to the fourth aspect, in some implementations of the fourth aspect, the determining, by the service request network element, the target data analysis network element according to the feature information includes:

And the service request network element determines a target data analysis network element according to the model operation platform type and the priority of the model interoperation standard.

With reference to the fourth aspect, in some implementations of the fourth aspect, the model runtime platform type has a priority that is higher than a priority of the model interoperability standard.

With reference to the fourth aspect, in some implementations of the fourth aspect, the model operation platform type supported by the target data analysis network element does not include a model operation platform type required by the service request network element, and the model interoperability standard supported by the target data analysis network element includes a model interoperability standard required by the service request network element, and the model request message includes a model interoperability standard required by the service request network element.

With reference to the fourth aspect, in some implementations of the fourth aspect, the service providing network element is a network storage function network element; the service request network element is a network data analysis function network element supporting reasoning; the candidate data analysis network elements comprise network data analysis function network elements supporting model training and/or network data analysis function network elements supporting reasoning and model training; the target data analysis network element is a network data analysis function network element supporting model training or a network data analysis function network element supporting reasoning and model training.

In a fifth aspect, a communication method is provided, including:

the data analysis network element generates characteristic information of the data analysis network element, wherein the characteristic information comprises at least one of a model operation platform type supported by the data analysis network element and a model interoperation standard supported by the data analysis network element; the data analysis network element sends the characteristic information to the service providing network element.

With reference to the fifth aspect, in certain implementations of the fifth aspect, the feature information further includes one or more of:

The type of the data analysis network element, the analysis type supported by the data analysis network element, the manufacturer identification of the data analysis network element and the service area identification of the data analysis network element.

In a sixth aspect, there is provided a communication apparatus comprising: and a processing unit connected with the transceiver unit.

The receiving and transmitting unit is used for acquiring the characteristic information of the data analysis network element, wherein the characteristic information comprises at least one of a model operation platform type supported by the data analysis network element and a model interoperation standard supported by the data analysis network element; the receiving and transmitting unit is used for receiving a request message from the service request network element, wherein the request message is used for requesting to discover the target data analysis network element, and the request message comprises a model operation platform type required by the service request network element and/or a model interoperation standard required by the service request network element; the processing unit is used for determining a target data analysis network element according to the characteristic information and the request message; and the receiving and transmitting unit is used for transmitting the address information and/or the identification information of the target data analysis network element to the service request network element.

With reference to the sixth aspect, in some implementations of the sixth aspect, the model operation platform type supported by the target data analysis network element includes a model operation platform type required by the service request network element, and the model interoperability standard supported by the target data analysis network element does not include a model interoperability standard required by the service request network element; or the model operation platform type supported by the target data analysis network element does not comprise the model operation platform type required by the service request network element, and the model interoperation standard supported by the target data analysis network element comprises the model interoperation standard required by the service request network element; or the model operation platform type supported by the target data analysis network element comprises the model operation platform type required by the service request network element, and the model interoperation standard supported by the target data analysis network element comprises the model interoperation standard required by the service request network element.

With reference to the sixth aspect, in some implementations of the sixth aspect, the processing unit is configured to determine the target data analysis network element according to a model running platform type and a priority of a model interoperability standard.

With reference to the sixth aspect, in some implementations of the sixth aspect, the model runtime platform type has a priority that is higher than a priority of the model interoperability standard.

With reference to the sixth aspect, in some implementations of the sixth aspect, the transceiver unit is configured to send, to the service request network element, a model running platform type supported by the target data analysis network element and/or a model interoperability standard supported by the target data analysis network element.

With reference to the sixth aspect, in certain implementations of the sixth aspect, the feature information further includes at least one of a type of the data analysis network element, an analysis type supported by the data analysis network element, a vendor identification of the data analysis network element, and a service area identification of the data analysis network element.

In a seventh aspect, there is provided a communication apparatus comprising: and a processing unit connected with the transceiver unit.

The receiving and transmitting unit is used for sending a request message to the service providing network element, wherein the request message is used for requesting to discover the target data analysis network element, and the request message comprises a model operation platform type required by the service request network element and/or a model interoperation standard required by the service request network element; the receiving and transmitting unit is used for receiving address information and/or identification information of the target data analysis network element from the service providing network element; the receiving and transmitting unit is used for transmitting a model request message to the target data analysis network element according to the address information and/or the identification information, wherein the model request message comprises a target analysis type, and the model request message is used for requesting a model corresponding to the target analysis type; and the receiving and transmitting unit is used for receiving the model corresponding to the target analysis type from the target data analysis network element or the address of the model corresponding to the target analysis type.

With reference to the seventh aspect, in some implementations of the seventh aspect, the model operation platform type supported by the target data analysis network element includes a model operation platform type required by the service request network element, and the model interoperability standard supported by the target data analysis network element does not include a model interoperability standard required by the service request network element; or the model operation platform type supported by the target data analysis network element does not comprise the model operation platform type required by the service request network element, and the model interoperation standard supported by the target data analysis network element comprises the model interoperation standard required by the service request network element; or the model operation platform type supported by the target data analysis network element comprises the model operation platform type required by the service request network element, and the model interoperation standard supported by the target data analysis network element comprises the model interoperation standard required by the service request network element.

With reference to the seventh aspect, in some implementations of the seventh aspect, the transceiver unit is configured to receive a model running platform type supported by a target data analysis network element and/or a model interoperability standard supported by the target data analysis network element from the service providing network element; the model operation platform type supported by the target data analysis network element does not comprise the model operation platform type required by the service request network element, the model interoperation standard supported by the target data analysis network element comprises the model interoperation standard required by the service request network element, and the model request message comprises the model interoperation standard required by the service request network element.

An eighth aspect provides a communication apparatus, comprising: and a processing unit connected with the transceiver unit.

The receiving and transmitting unit is used for acquiring the characteristic information of the first data analysis network element, wherein the characteristic information comprises analysis types supported by the first data analysis network element; the receiving and transmitting unit is used for receiving a request message from the service request network element, wherein the request message is used for requesting to discover a second data analysis network element, the request message comprises a target analysis type, and the analysis type supported by the second data analysis network element comprises the target analysis type; the first data analysis network element comprises a second data analysis network element; the processing unit is used for determining a second data analysis network element according to the characteristic information and the request message; and the receiving and transmitting unit is used for transmitting at least one of the model operation platform type supported by the second data analysis network element and the model interoperation standard supported by the second data analysis network element to the service request network element, and the address information and/or the identification information of the second data analysis network element.

With reference to the eighth aspect, in certain implementation manners of the eighth aspect, the feature information further includes a model running platform type supported by the first data analysis network element and/or a model interoperability standard supported by the first data analysis network element

With reference to the eighth aspect, in certain implementations of the eighth aspect, the feature information further includes at least one of a type of the first data analysis network element, a vendor identification of the first data analysis network element, and a service area identification of the first data analysis network element.

A ninth aspect provides a communication apparatus comprising: and a processing unit connected with the transceiver unit.

The receiving and transmitting unit is used for sending a request message to the service providing network element, wherein the request message is used for requesting to discover the candidate data analysis network element, the request message comprises a target analysis type, and the analysis type supported by the candidate data analysis network element comprises the target analysis type; the receiving and transmitting unit is used for receiving the characteristic information of the candidate data analysis network element from the service providing network element, wherein the characteristic information comprises at least one of a model operation platform type supported by the candidate data analysis network element and a model interoperation standard supported by the candidate data analysis network element; the processing unit is used for determining a target data analysis network element according to the characteristic information; the candidate data analysis network element comprises a target data analysis network element; the receiving and transmitting unit is used for sending a model request message to the target data analysis network element, wherein the model request message is used for requesting a model corresponding to the target analysis type; and the receiving and transmitting unit is used for receiving the model corresponding to the target analysis type or the address of the model corresponding to the target analysis type from the target data analysis network element.

With reference to the ninth aspect, in some implementations of the ninth aspect, the model operation platform type supported by the target data analysis network element includes a model operation platform type required by the service request network element, and the model interoperability standard supported by the target data analysis network element does not include a model interoperability standard required by the service request network element; or the model operation platform type supported by the target data analysis network element does not comprise the model operation platform type required by the service request network element, and the model interoperation standard supported by the target data analysis network element comprises the model interoperation standard required by the service request network element; or the model operation platform type supported by the target data analysis network element comprises the model operation platform type required by the service request network element, and the model interoperation standard supported by the target data analysis network element comprises the model interoperation standard required by the service request network element.

With reference to the ninth aspect, in some implementations of the ninth aspect, the processing unit is configured to determine the target data analysis network element according to a model running platform type and a priority of a model interoperability standard.

With reference to the ninth aspect, in some implementations of the ninth aspect, the model runtime platform type has a priority that is higher than a priority of the model interoperability standard.

With reference to the ninth aspect, in some implementations of the ninth aspect, the model operation platform type supported by the target data analysis network element does not include a model operation platform type required by the service request network element, and the model interoperability standard supported by the target data analysis network element includes a model interoperability standard required by the service request network element, and the model request message includes a model interoperability standard required by the service request network element.

In a tenth aspect, there is provided a communication apparatus comprising: and a processing unit connected with the transceiver unit.

The processing unit is used for generating characteristic information of the data analysis network element, wherein the characteristic information comprises at least one of a model operation platform type supported by the data analysis network element and a model interoperation standard supported by the data analysis network element; and the receiving and transmitting unit is used for transmitting the characteristic information to the service providing network element.

With reference to the tenth aspect, in certain implementations of the tenth aspect, the feature information further includes one or more of:

In an eleventh aspect, a communication device is provided that includes a communication interface and a processor. When the communication device is running, the processor executes the computer program or instructions stored in the memory, causing the communication device to perform the method in any one of the possible implementations of the first to fifth aspects. The memory may be located in the processor or may be implemented by a chip independent of the processor, which is not particularly limited in the present application.

In a twelfth aspect, there is provided a computer readable storage medium comprising a computer program which, when run on a computer, causes the computer to perform the method of any one of the possible implementations of the first to fifth aspects.

In a thirteenth aspect, a chip or chip system is provided, the chip or chip system comprising processing circuitry for performing the method of any one of the possible implementations of the first to fifth aspects.

In a fourteenth aspect, there is provided a computer program product comprising: a computer program (which may also be referred to as code, or instructions) which, when executed, causes a computer to perform the method of any one of the possible implementations of the first to fifth aspects.

In a fifteenth aspect, there is provided a communication apparatus comprising: a memory for storing computer instructions; a processor configured to execute the computer instructions to cause the communication device to perform the method of any one of the possible implementations of the first to fifth aspects.

In a sixteenth aspect, a communication system is provided comprising a service providing network element and a service requesting network element.

The serving network element is configured to perform the method in any one of the possible implementations of the first aspect, and the service request network element is configured to perform the method in any one of the possible implementations of the second aspect; or alternatively

The serving network element is configured to perform the method in any one of the possible implementations of the third aspect, and the service request network element is configured to perform the method in any one of the possible implementations of the fourth aspect.

Drawings

Fig. 1 shows a system architecture to which an embodiment of the present application is applied.

Fig. 2 is a schematic interaction diagram of an example of the method according to the present application.

Fig. 3 is a schematic interaction diagram of an example of the method according to the present application.

Fig. 4 is a schematic block diagram of a communication device provided by the present application.

Fig. 5 is a schematic block diagram of a communication device provided by the present application.

Detailed Description

The technical solution of the embodiment of the present application can be applied to various third generation partnership project (the 3rd generation partnership project,3GPP) communication systems, for example: long term evolution (long term evolution, LTE) systems, e.g., LTE frequency division duplex (frequency division duplex, FDD) systems, LTE time division duplex (time division duplex, TDD), fifth generation (5th Generation,5G) communication systems are also known as New Radio (NR) communication systems, future evolution communication systems, e.g., sixth generation (6th Generation,6G) communication systems, etc.

Fig. 1 is a schematic diagram of a communication network architecture. The network architecture may specifically include the following network elements:

1. User Equipment (UE): may include various handheld devices, vehicle mount devices, wearable devices, computing devices, or other processing devices connected to a wireless modem, as well as various forms of terminals, mobile Stations (MSs), terminals, or soft terminals, etc. Such as water meters, electricity meters, sensors, etc.

2. (Radio) access network device (radio access network, (R) AN): the system is used for providing network access functions for authorized user equipment in a specific area and can use transmission tunnels with different qualities according to the level of the user equipment, the service requirements and the like.

The RAN can manage radio resources, provide access services for the user equipment, and further complete forwarding of control signals and user equipment data between the user equipment and the core network. The RAN can also be understood as a base station in a conventional network.

3. User plane function (user plane function, UPF) network element: quality of service (quality of service, qoS) handling for packet routing and forwarding, user plane data, etc. User data may be accessed to a Data Network (DN) through the network element. In the embodiment of the application, the method and the device can be used for realizing the functions of the user plane network element.

4. Data Network (DN): for providing a network for transmitting data. Such as a network of operator services, internet network, third party service network, etc.

5. -Authentication service function (authentication server function, AUSF) network element: the method is mainly used for user authentication and the like.

6. Access and mobility management function (ACCESS AND mobility management function, AMF) network element: the method is mainly used for mobility management, access management and the like, and can be used for realizing other functions besides session management in the mobility management entity (mobility MANAGEMENT ENTITY, MME) functions, such as access authorization/authentication and the like.

7. Session management function (session management function, SMF) network element: the method is mainly used for session management, network internet protocol (internet protocol, IP) address allocation and management of terminal equipment, selection and management of a user plane function, a termination point of a policy control and charging function interface, downlink data notification and the like.

8. Policy control function (policy control function, PCF) network element: a unified policy framework for guiding network behavior, providing policy rule information and the like for network elements (e.g., AMF, SMF network elements, etc.) or terminal devices.

9. Network storage function (network repository function, NRF) network element: the method is used for storing the network function entity and the description information of the service provided by the network function entity, supporting service discovery, network element entity discovery and the like.

10. Network opening function (network exposure function, NEF) network element: for securely opening to the outside the services and capabilities provided by third generation partnership project (3 GPP) network functions, etc.

11. Unified data management (unified DATA MANAGEMENT, UDM) network element: for unified data management, 5G user data management, handling user identification, access authentication, registration, or mobility management, etc.

12. -Application function (application function, AF) network element: the method is used for carrying out data routing of application influence, accessing network elements with open functions of the network, interacting with a policy framework to carry out policy control and the like.

13. Network data analysis function (network DATA ANALYTICS function, NWDAF) network element: NWDAF may have at least one of the following functions:

Data collection, model training, model feedback, analysis result reasoning, analysis result feedback and the like. The data collection function is to collect data from network elements, third party servers, terminal equipment or network management systems; the model training function is to perform analysis training based on relevant input data to obtain a model; the model feedback function refers to sending the trained machine learning model to a network element supporting the reasoning function; the analysis result reasoning function makes reasoning to determine a data analysis result based on the trained machine learning model and the reasoning data; the analysis result feedback function may provide a data analysis result to the network element, the third party server, the providing terminal device, or the network management system, where the data analysis result may assist the network in selecting a quality of service parameter of the service, or assist the network in performing a traffic route, or assist the network in selecting a background traffic transmission policy, and so on.

Currently, NWDAF functions may have the following functions: analysis logic functions (analyticslogicalfunction, anLF), model training logic functions (modeltraininglogicalfunction, MTLF), analysis logic functions and model training logic functions (AnLF + MTLF). The corresponding NWDAF may include the following types: NWDAF supporting reasoning, NWDAF supporting model training, NWDAF supporting model training and reasoning.

NWDAF typical application scenarios are: and customizing or optimizing terminal parameters. NWDAF, through collecting information such as user connection management, mobility management, session management, accessed service and the like, evaluating and analyzing different types of users by utilizing a reliable analysis and prediction model, constructing user portraits, determining the movement track and service use habit of the users, optimizing the mobility management parameters, the radio resource management parameters and the like of the users; optimizing the service (path), namely NWDAF, by collecting information such as network performance, specific area service load, user service experience and the like, utilizing a reliable network performance analysis and prediction model to evaluate and analyze different types of services, constructing a service portrait, determining internal association such as service quality (quality of experience, qoE), service experience (service experience), service path or 5G service quality (quality of service, qoS) parameters and the like, and optimizing the service path, service route, 5G edge calculation, service corresponding 5G QoS and the like; the AF is an important technology of the 5G network, for example, in the car networking, and in the automatic driving scenario of the car networking, prediction of network performance (such as QoS information and traffic load) of a base station through which a vehicle passes can improve service quality of the car networking. For example, the internet of vehicles server may determine whether to continue to maintain the unmanned mode based on predictive information of network performance. NWDAF by collecting information such as network performance, specific area traffic load and the like, statistics and prediction of network performance are realized by utilizing a reliable network performance analysis and prediction model, and AF optimization parameters are assisted.

In the embodiment of the present application, NWDAF may be a single network element or may be combined with other network elements. For example, NWDAF network elements may be collocated with the AMF or with the SMF.

In addition, the network architecture may further include a network slice selection function network element (network slice selection function, NSSF) for managing information related to the network slice; a service communication proxy (service communication proxy, SCP) for supporting indirect communication, i.e. supporting message transit and routing between service invocation network elements and service providing network elements, selection and discovery of service providing network elements, etc. It should be understood that the above-listed communication systems include network elements that are merely exemplary and the present application is not limited thereto.

In the above network architecture, the N2 interface is an interface between the RAN and the AMF network element, and is used for sending radio parameters and non-access stratum (NAS) signaling; the N3 interface is an interface between the RAN and the UPF network element and is used for transmitting data of a user plane and the like; the N4 interface is an interface between the SMF network element and the UPF network element, and is used for transmitting information such as a service policy, tunnel identification information of the N3 connection, data buffer indication information, and a downlink data notification message. The N6 interface is an interface between the DN network element and the UPF network element, and is used for transmitting data of the user plane and the like.

It should be understood that in the above network architecture, information interaction between network elements may be performed through a service interface. For example, NWDAF network elements may collect data generated by a terminal on the network element from other network elements (such as Namf, nsmf, etc.) through service interfaces (such as AMF, SMF, etc.) provided by the network elements, and provide data analysis results (analysis), models, also referred to as machine learning models (MACHINE LEARNING model), data (data), etc. to the other network elements (such as AMF, PCF, etc.) through Nnwdaf interfaces.

It should be understood that the network architecture applied to the embodiments of the present application is merely an exemplary network architecture described from the perspective of a conventional point-to-point architecture and a service architecture, and the network architecture to which the embodiments of the present application are applicable is not limited thereto, and any network architecture capable of implementing the functions of the respective network elements described above is applicable to the embodiments of the present application.

It should be noted that, the names of each network element and interface in the present application are only an example, and the present application does not exclude the case that each network element is another name and functions between each network element are combined. Along with the evolution of technology, any device or network element capable of realizing the functions of each network element is within the protection scope of the present application. The network elements may be referred to as entities, devices, apparatuses, or modules, and the present application is not particularly limited. Also, in the present application, for ease of understanding and explanation, the description of "network element" is omitted in some descriptions, for example, NWDAF network element is abbreviated as NWDAF, in this case, "NWDAF" is understood as NWDAF network element, and explanation of the same or similar cases is omitted below.

In addition, the service provides network elements for data storage in the present application. For example, the service providing network element may be an NRF network element, a model management (modelmanagement) network element, or a model management module. The model management module may be an independent network element, or may be a module in an NRF network element or other network elements.

For convenience of description, in the embodiment of the present application, an NRF network element is taken as a service providing network element, and NWDAF network elements are taken as service request network elements and data analysis network elements.

The NWDAF (MTLF) and NWDAF (AnLF) may be deployed separately by different vendors and the model running platforms used may also be different. When the manufacturers are different and the model operation platforms are the same, the NWDAF (AnLF) of the manufacturer B can normally receive and deploy the AI model provided by the NWDAF (MTLF) of the manufacturer A; when vendors are different and model operation platforms are different, NWDAF (AnLF) of vendor B cannot deploy AI models provided by NWDAF (MTLF) of vendor a.

Fig. 2 shows a method 200 proposed by the present application, comprising:

s201, the NRF acquires NWDAF feature information.

The feature information includes at least one of NWDAF supported model runtime platform types and NWDAF supported model interoperability standards.

The model execution platform types supported by NWDAF may also be referred to as NWDAF-supported artificial intelligence (ARTIFICIALINTELLIGENCE, AI) platforms, among others. NWDAF supported AI platforms include, but are not limited to, one or more of Mindspore, tensorflow, pyTorch platforms.

Illustratively, the model interoperability standards supported by NWDAF include, but are not limited to, the open neural network switching (open neural network exchange, ONNX) standard and/or the predictive model markup language (PREDICTIVE MODEL MARKUP LANGUAGE, PMML) standard.

Illustrating: if both AI platform #1 and AI platform #2 support ONNX standards, the model trained on AI platform #1 can be converted to a corresponding computational graph, which AI platform #2 can use to deploy ONNX model and perform model reasoning.

Illustratively, the characterizing information NWDAF also includes the type of NWDAF, the type of analysis supported by NWDAF, the vendor identification of NWDAF, and the service area identification of NWDAF.

The manner in which the NRF acquires NWDAF feature information is described as follows:

Illustratively, the NRF receives a plurality of registration request (e.g., nnrf _ NFMANAGEMENT _ NFREGISTER REQUEST) messages from a plurality NWDAF, the plurality NWDAF being in one-to-one correspondence with the plurality of registration request messages, each of the plurality of registration request messages including the corresponding characteristic information of NWDAF.

For example, NWDAF #1 transmits a registration request message#1 to the NRF, the registration request message#1 including feature information#1. Accordingly, the NRF receives the registration request message #1 and stores the feature information #1. Optionally, the NRF sends a registration response (e.g., nnrf _ NFMANAGEMENT _ NFREGISTER RESPONSE) message #1 to NWDAF #1, the registration response message #1 indicating that feature information #1 of NWDAF #1 was successfully stored. It should be appreciated that NWDAF #1 is any of the plurality NWDAF described above.

The registration request message #1 may include the following parameters:

NWDAF type (NWDAF TYPE) parameters: the type of NWDAF #1 is identified.

Analysis identifies (ANALYTICS ID) parameters: the analysis types supported by NWDAF #1 are identified. For example, the types of analysis supported by NWDAF may include, but are not limited to, one or more of business experience data analysis, network element load data analysis.

Regional (area) parameters: the service area of NWDAF #1 is identified. For example, the service area of NWDAF #1 may be a tracking area (TRACKING AREA, TA) #1, public land mobile network (public land mobile network, PLMN) #1.

Vendor identification (vendor ID) parameter: the vendor of NWDAF #1 is identified.

Supported AI platform (supported AI platforms) parameters: the AI platform supported by NWDAF #1 is identified.

Supported model interoperability standard (supported model interoperability standards) parameters: model interoperability standards supported by NWDAF #1 are identified.

S202, NWDAF #a sends a Request message #a (e.g., nnrf _ NFDiscovery _request) to the NRF. Accordingly, the NRF receives the request message #a.

The request message #a is used to discover the target NWDAF. The request message #A includes the model runtime platform type required by NWDAF #A and/or the model interoperability standard required by NWDAF #A.

For example, the model running platform types supported by NWDAF #a are platform#1, platform#2, and platform#3, and the model interoperability standards supported by nwdaf are standard#1 and standard#2. The model running platform type required by NWDAF #a in the request message #a is platform #1, and the model interoperability standard required by nwdaf#a is standard #1.

Illustratively, the request message #A also includes a target analysis type.

For example, the analysis types supported by NWDAF #a are analysis type #1, analysis type #2, and analysis type #3. The target analysis type is analysis type #1 therein.

Illustratively, the request message #a further includes one or more of the following:

Vendor identification of NWDAF #a, type of NWDAF #a, identification of service area of NWDAF #a.

The application is not limited to NWDAF # A type. The NWDAF # A can be NWDAF supporting reasoning, NWDAF supporting model training, NWDAF supporting model training and reasoning.

If NWDAF #a is NWDAF with model training functions, there is a case where NWDAF #a can get one part of models (e.g., model #a and model #b) through training, but cannot get another part of models (e.g., model #c) through training. In this case, to acquire the model #c, NWDAF #a may transmit a request message #a to the NRF.

Note that NWDAF #a may be one of the plurality of NWDAF, or may not be the plurality of NWDAF, and is not limited thereto.

S203, the NRF determines the target NWDAF from the request message #a and the feature information of NWDAF acquired in S201.

Illustratively, the model runtime platform types supported by target NWDAF include the model runtime platform types required by NWDAF #A, and the model interoperability standards supported by target NWDAF do not include the model interoperability standards required by NWDAF #A. Or the model runtime platform type supported by the target NWDAF does not include the model runtime platform type required by NWDAF #a, and the model interoperability standard supported by the target NWDAF includes the model interoperability standard required by NWDAF #a. Or the model runtime platform types supported by the target NWDAF include the model runtime platform types required by NWDAF #a, and the model interoperability standards supported by the target NWDAF include the model interoperability standards required by NWDAF #a.

It should be appreciated that the goal NWDAF may be NWDAF, which supports model training, or NWDAF, which supports model training and reasoning, without limitation.

The manner in which NRF determines object NWDAF is described below by way of several examples:

example 1:

The NRF determines the target NWDAF based on the model runtime platform type and the priority of the model interoperability standard.

For example, if the model runtime platform type has a higher priority than the model interoperability standard, the NRF preferentially finds out from the plurality NWDAF that the target NWDAF of the same model runtime platform is supported by NWDAF #a; if there is no target NWDAF in the plurality NWDAF that supports the same model-running platform as NWDAF #a, the NRF can find a target NWDAF from the plurality NWDAF that supports the same model interoperability standard as NWDAF #a. If there is no target NWDAF in the plurality NWDAF that supports the same model interoperability standard as NWDAF #a, the discovery process fails.

Example 2:

It is assumed that the model run platforms supported by NWDAF of the same vendor are identical or partially identical in type. The NRF determines the target NWDAF based on the vendor, model runtime platform type, and priority of model interoperability standards.

For example, the priorities of the three are vendor, model operation platform type and model interoperability standard in order from high to low, and the NRF may preferentially find the target NWDAF of the same vendor as NWDAF #a from a plurality NWDAF; if the target NWDAF of the same manufacturer as NWDAF #a does not exist in the plurality NWDAF, the NRF may find a target NWDAF supporting the same model running platform as NWDAF #a from the plurality NWDAF; if there is no target NWDAF in the plurality NWDAF that supports the same model running platform as NWDAF #a, the NRF may find a target NWDAF from the plurality NWDAF that supports the same model interoperability standard as NWDAF #a; if there is no target NWDAF in the plurality NWDAF that supports the same model interoperability standard as NWDAF #a, the discovery process fails.

Illustratively, the NRF may not discover the target NWDAF according to the priority order described above.

It should be appreciated that NRF is finding target NWDAF in the plurality NWDAF above.

S204, the NRF transmits address information and/or identification information of the target NWDAF to NWDAF #a. Accordingly, NWDAF #a receives address information and/or identification information of target NWDAF from NRF.

Illustratively, the NRF may send a Response message #a (e.g., nnrf _ NFDiscovery _request Response) to NWDAF #a, the Response message #a including address information and/or identification information of the target NWDAF therein.

Illustratively, the response message #A further includes model runtime platform types supported by the object NWDAF and/or model interoperability standards supported by the object NWDAF.

Illustratively, the vendor identification of the target NWDAF is also included in the response message #A.

Further, if the target NWDAF is not successfully found in S203, the NRF may transmit a response message #b to NWDAF #a, the response message #b indicating a discovery failure. Accordingly, NWDAF #a receives the response message #b.

Or if the target NWDAF is not successfully found in S203, the NRF may not transmit the response message #b to NWDAF #a. It should be appreciated that if NWDAF #a does not receive a response message to request message #a, the request may fail by default. For example, if NWDAF #a does not receive a response message to the request message #a after transmitting the request message #a for a preset period of time, NWDAF #a determines that the request fails.

S205, NWDAF #a sends a request message #b (e.g., request message #b is a model request message, such as Nnwdaf _ MLModelInfo Request) to the target NWDAF according to address information and/or identification information of the target NWDAF. Accordingly, the target NWDAF receives the request message #b.

The request message #b includes a target analysis type. The request message #b is used for requesting a model corresponding to the target analysis type.

Illustratively, if the model execution platform type supported by target NWDAF does not include the model execution platform type required by NWDAF #A, the model interoperability standard supported by target NWDAF includes the model interoperability standard required by NWDAF #A, then the model interoperability standard required by NWDAF #A is included in request message #B.

It should be appreciated that the inclusion of the model interoperability standard required by NWDAF #a in request message #b is for target NWDAF to provide a model that meets the model interoperability standard required by NWDAF #a.

S206, the target NWDAF sends the model corresponding to the target analysis type or the address of the model corresponding to the target analysis type to NWDAF #A. Accordingly, NWDAF #a receives the model corresponding to the target analysis type or the address of the model corresponding to the target analysis type from the target NWDAF.

Illustratively, the target NWDAF may send a response message #c (e.g., nnwdaf _ MLModelInfo Response) to NWDAF #a. The response message #c includes a model corresponding to the target analysis type or an address of the model corresponding to the target analysis type.

According to the method of the present application, the NRF determines the target NWDAF based on the feature information NWDAF and the request message of NWDAF #a. The target NWDAF and NWDAF # A may belong to different manufacturers, so that the AI model can be distributed across manufacturers, the limitation that the AI model can only be shared with the manufacturers is broken, and the flexibility of the AI model distribution is improved.

In method 200, a target NWDAF is determined by the NRF. As another approach, target NWDAF may be determined from NWDAF #a, as described in detail below in method 300.

Fig. 3 shows a method 300 proposed by the present application, comprising:

S301, the NRF acquires NWDAF feature information.

NWDAF includes the types of analysis supported by NWDAF.

Illustratively, the feature information of NWDAF also includes model operating platform supported by NWDAF and/or model interoperability standards supported by NWDAF, as well as type NWDAF, vendor identification of NWDAF, and service area identification of NWDAF.

The NRF may acquire the feature information of the plurality NWDAF, and the process may refer to the description of S201.

S302, NWDAF #a sends a Request message #a (e.g., nnrf _ NFDiscovery _request) to the NRF. Accordingly, the NRF receives the request message #a.

The request message #a includes a target analysis type, and the request message #a is used for requesting discovery of the candidate NWDAF. The analysis types supported by candidate NWDAF include the target analysis type.

S303, the NRF determines a candidate NWDAF from the request message #a and the feature information of NWDAF acquired in S301.

It should be appreciated that NRF is the candidate NWDAF found in the plurality NWDAF above.

The differences between S303 and S203 are described below:

The NRF in S303 determines a candidate NWDAF, and the candidate NWDAF only needs to be able to provide a model corresponding to the target analysis type. NRF is not a concern as to whether the candidate NWDAF supports the same model running platform or the same model interoperability standard as NWDAF #a.

It should be appreciated that the candidate NWDAF may include at least one NWDAF, and any NWDAF of the at least one NWDAF may be NWDAF supporting model training or NWDAF supporting reasoning and model training.

Furthermore, if the NRF does not find a satisfactory candidate NWDAF, the discovery process fails.

S304, the NRF sends to NWDAF #a at least one of the model running platform type supported by the candidate NWDAF and the model interoperability standard supported by the candidate NWDAF, and address information and/or identification information of the candidate NWDAF.

Illustratively, the NRF may send a Response message #a (e.g., nnrf _ NFDiscovery _request Response) to NWDAF #a, where the Response message #a includes at least one of the model runtime platform type supported by the candidate NWDAF and the model interoperability standard supported by the candidate NWDAF, and address information and/or identification information of the candidate NWDAF.

Illustratively, vendor identification of candidate NWDAF and service area identification of candidate NWDAF may also be included in the response message #a.

Further, if the candidate NWDAF is not successfully found in S303, the NRF transmits a response message #b to NWDAF #a, the response message #b indicating a discovery failure.

Or if the candidate NWDAF is not successfully found in S303, the NRF may not transmit the response message #b to NWDAF #a. It should be appreciated that if NWDAF #a does not receive a response message to request message #a, the request may fail by default.

S305, NWDAF # a determines the target NWDAF according to the model runtime platform type supported by the candidate NWDAF and/or the model interoperability standard supported by the candidate NWDAF.

It should be appreciated that NWDAF # a is found to be the target NWDAF in the candidate NWDAF.

Illustratively, the model runtime platform types supported by target NWDAF include the model runtime platform types required by NWDAF #A, and the model interoperability standards supported by target NWDAF do not include the model interoperability standards required by NWDAF #A.

Illustratively, the model runtime platform types supported by target NWDAF do not include the model runtime platform types required by NWDAF #A, and the model interoperability standards supported by target NWDAF include the model interoperability standards required by NWDAF #A.

Illustratively, the model runtime platform types supported by target NWDAF include the model runtime platform types required by NWDAF #A, and the model interoperability standards supported by target NWDAF include the model interoperability standards required by NWDAF #A.

The manner in which NWDAF #a determines target NWDAF can be referred to example 1 and example 2 in S203. That is, the operation of NRF in examples 1 and 2 of S203 is performed by NWDAF #a.

For example, NWDAF # a may determine the target NWDAF based on the model runtime platform type and the priority of the model interoperability criteria. As another example, NWDAF #A determines target NWDAF based on the vendor, model runtime platform type, and priority of model interoperability standards. And will not be described in detail herein.

S306, NWDAF #a sends a request message #b (e.g., request message #b is a model request message, such as Nnwdaf _ MLModelInfo Request) to the target NWDAF. Accordingly, the target NWDAF receives the request message #b.

The request message #b includes a target analysis type, and the request message #b is used for requesting a model corresponding to the target analysis type.

The process may refer to the description of S205, and will not be described here again.

S307, the target NWDAF sends the model corresponding to the target analysis type or the address of the model corresponding to the target analysis type to NWDAF #a. Accordingly, NWDAF #a receives the model corresponding to the target analysis type or the address of the model corresponding to the target analysis type from the target NWDAF.

According to the method of the present application, NWDAF #a may determine the target NWDAF from the feature information of the candidate NWDAF. The target NWDAF and NWDAF # A may belong to different manufacturers, so that the AI model can be distributed across manufacturers, the limitation that the AI model can only be shared with the manufacturers is broken, and the flexibility of the AI model distribution is improved.

According to the foregoing method, fig. 4 is a schematic diagram of a communication device according to an embodiment of the present application, where the communication device includes a transceiver unit 401 and a processing unit 402.

The transceiver unit 401 may be used to implement a corresponding information transceiver function. The transceiver unit 401 may also be referred to as a communication interface or a communication unit. The processing unit 402 may be used for performing processing operations.

Illustratively, the apparatus further comprises a storage unit, which may be used for storing instructions and/or data, and the processing unit 402 may read the instructions and/or data in the storage unit, so that the apparatus implements the actions of the apparatus in the foregoing method embodiments.

As a first implementation manner, the device may be an NRF network element in the foregoing embodiment, or may be a component (such as a chip) of the NRF network element. The transceiver unit and the processing unit may be configured to implement the related operations of the NRF network element in the foregoing method embodiments.

As a second implementation manner, the device may be a NWDAF #a network element in the foregoing embodiment, or may be a component (such as a chip) of a NWDAF #a network element. The transceiver unit and the processing unit may be configured to implement the related operations of the NWDAF #a network element in the foregoing method embodiments.

As a third implementation manner, the device may be the target NWDAF network element in the foregoing embodiment, or may be a component (such as a chip) of the target NWDAF network element. The transceiver unit and the processing unit may be configured to implement the related operations of the target NWDAF network element in the foregoing method embodiments.

It should be understood that the specific process of each unit performing the corresponding steps has been described in detail in the above method embodiments, and is not described herein for brevity.

It should also be understood that the apparatus herein is embodied in the form of functional units. The term "unit" herein may refer to an Application Specific Integrated Circuit (ASIC), an electronic circuit, a processor (e.g., a shared, dedicated, or group processor, etc.) and memory that execute one or more software or firmware programs, a combinational logic circuit, and/or other suitable components that support the described functionality. In an alternative example, it may be understood by those skilled in the art that the apparatus may be specifically configured to perform the first network element in the foregoing embodiment of the method and each flow and/or step corresponding to the first network element in the foregoing embodiment of the method, or the apparatus may be specifically configured to be configured to perform the network management network element in the foregoing embodiment of the method and each flow and/or step corresponding to the network management network element in the foregoing embodiment of the method, which are not repeated herein for avoiding repetition.

The communication device has the function of implementing the corresponding steps performed by the device in the method. The functions may be realized by hardware, or may be realized by hardware executing corresponding software. The hardware or software comprises one or more modules corresponding to the functions; for example, the transceiver unit may be replaced by a transceiver (e.g., a transmitting unit in the transceiver unit may be replaced by a transmitter, a receiving unit in the transceiver unit may be replaced by a receiver), and other units, such as a processing unit, etc., may be replaced by a processor, to perform the transceiver operations and related processing operations in the various method embodiments, respectively.

The transceiver 401 may be a transceiver circuit (e.g., may include a receiving circuit and a transmitting circuit), and the processing unit may be a processing circuit.

It should be noted that the apparatus in fig. 4 may be the apparatus in the foregoing method embodiment, and may also be a chip or a chip system, for example: system on chip (SoC). The receiving and transmitting unit can be an input and output circuit and a communication interface; the processing unit is an integrated processor or microprocessor or integrated circuit on the chip. And are not limited herein.

The embodiment of the application also provides a communication device, as shown in fig. 5, including: a processor 501 and a communication interface 502. The processor 501 is configured to execute computer programs or instructions stored in the memory 503 or to read data stored in the memory 503 to perform the methods in the method embodiments above. Illustratively, the processor 501 is one or more. The communication interface 502 is used for reception and/or transmission of signals. For example, the processor 501 is configured to control the communication interface 502 to receive and/or transmit signals.

Illustratively, as shown in fig. 5, the communication device further comprises a memory 503, the memory 503 for storing computer programs or instructions and/or data. The memory 503 may be integral with the processor 501 or may be separate. Illustratively, the memory 503 is one or more.

Illustratively, the processor 501, the communication interface 502, and the memory 503 are interconnected by a bus 504; bus 504 may be a peripheral component interconnect standard (PERIPHERAL COMPONENT INTERCONNECT, PCI) bus or an extended industry standard architecture (extended industry standard architecture, EISA) bus, or the like. The bus 504 may be classified into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in fig. 5, but not only one bus or one type of bus.

For example, the processor 501 is configured to execute the computer program or instructions stored in the memory 503 to implement the relevant operations of the NRF network element, NWDAF #a network element, or the target NWDAF network element in the above method embodiments.

It should be appreciated that the processor referred to in embodiments of the present application (e.g., processor 501) may be a central processing unit (central processing unit, CPU), a network processor (network processor, NP) or a combination of CPU and NP. The processor may further comprise a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (programmable logic device, PLD), or a combination thereof. The PLD may be a complex programmable logic device (complex programmable logic device, CPLD), a field-programmable gate array (FPGA) GATE ARRAY, generic array logic (GENERIC ARRAY logic, GAL), or any combination thereof.

It should also be appreciated that the memory referred to in embodiments of the present application (e.g., memory 503) may be volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The nonvolatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an erasable programmable ROM (erasable PROM), an electrically erasable programmable EPROM (EEPROM), or a flash memory. The volatile memory may be random access memory (random access memory, RAM) which acts as external cache memory.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.

In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of elements is merely a logical functional division, and there may be additional divisions of actual implementation, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. The purpose of the embodiment scheme can be achieved by selecting parts or units according to actual needs.

In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or a part of the technical solution, or in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform the steps or steps of the methods of the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

The foregoing is merely illustrative embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about variations or substitutions within the technical scope of the present application, and the application should be covered. Therefore, the protection scope of the application is subject to the protection scope of the claims.

Claims

A method of communication, comprising:

The service providing network element obtains the characteristic information of the data analysis network element, wherein the characteristic information comprises at least one of a model operation platform type supported by the data analysis network element and a model interoperation standard supported by the data analysis network element;

The service providing network element receives a request message from a service request network element, wherein the request message is used for requesting to discover a target data analysis network element, and the request message comprises a model operation platform type required by the service request network element and/or a model interoperation standard required by the service request network element;

The service providing network element determines the target data analysis network element according to the characteristic information and the request message, wherein the data analysis network element comprises the target data analysis network element;

And the service providing network element sends the address information and/or the identification information of the target data analysis network element to the service request network element.
The method of claim 1, wherein the step of determining the position of the substrate comprises,

The model operation platform type supported by the target data analysis network element comprises the model operation platform type required by the service request network element, and the model interoperation standard supported by the target data analysis network element does not comprise the model interoperation standard required by the service request network element; or alternatively

The model operation platform type supported by the target data analysis network element does not comprise the model operation platform type required by the service request network element, and the model interoperation standard supported by the target data analysis network element comprises the model interoperation standard required by the service request network element; or alternatively

The model operation platform type supported by the target data analysis network element comprises the model operation platform type required by the service request network element, and the model interoperation standard supported by the target data analysis network element comprises the model interoperation standard required by the service request network element.
A method according to claim 1 or 2, characterized in that,

The service providing network element determines the target data analysis network element according to the characteristic information and the request message, and comprises the following steps:

And the service providing network element determines the target data analysis network element according to the model operation platform type and the priority of the model interoperation standard.
The method of claim 3, wherein the step of,

The priority of the model runtime platform type is higher than the priority of the model interoperability standard.
The method according to any one of claims 1-4, further comprising:

and the service providing network element sends the model operation platform type supported by the target data analysis network element and/or the model interoperation standard supported by the target data analysis network element to the service request network element.
The method according to any one of claims 1 to 5, wherein,

The characteristic information further comprises at least one of a type of the data analysis network element, an analysis type supported by the data analysis network element, a manufacturer identification of the data analysis network element and a service area identification of the data analysis network element.
The method according to any one of claims 1 to 6, wherein,

The service providing network element is a network storage function network element;

The target data analysis network element is a network data analysis function network element supporting model training or a network data analysis function network element supporting reasoning and model training;

the service request network element is a network data analysis function network element supporting reasoning.
A method of communication, comprising:

The service request network element sends a request message to a service providing network element, wherein the request message is used for requesting to discover a target data analysis network element, and the request message comprises a model operation platform type required by the service request network element and/or a model interoperation standard required by the service request network element;

The service request network element receives address information and/or identification information of the target data analysis network element from the service providing network element;

The service request network element sends a model request message to the target data analysis network element according to the address information and/or the identification information, wherein the model request message comprises a target analysis type, and the model request message is used for requesting a model corresponding to the target analysis type;

The service request network element receives the model corresponding to the target analysis type from the target data analysis network element or the address of the model corresponding to the target analysis type.
The method of claim 8, wherein the step of determining the position of the first electrode is performed,

The model operation platform type supported by the target data analysis network element comprises the model operation platform type required by the service request network element, and the model interoperation standard supported by the target data analysis network element does not comprise the model interoperation standard required by the service request network element; or alternatively

The model operation platform type supported by the target data analysis network element does not comprise the model operation platform type required by the service request network element, and the model interoperation standard supported by the target data analysis network element comprises the model interoperation standard required by the service request network element; or alternatively

The model operation platform type supported by the target data analysis network element comprises the model operation platform type required by the service request network element, and the model interoperation standard supported by the target data analysis network element comprises the model interoperation standard required by the service request network element.
The method according to claim 8 or 9, characterized in that the method further comprises:

The service request network element receives the model operation platform type supported by the target data analysis network element and/or the model interoperation standard supported by the target data analysis network element from the service providing network element;

The model operation platform type supported by the target data analysis network element does not comprise the model operation platform type required by the service request network element, the model interoperation standard supported by the target data analysis network element comprises the model interoperation standard required by the service request network element, and the model request message comprises the model interoperation standard required by the service request network element.
The method according to any one of claims 8-10, wherein,

The service providing network element is a network storage function network element;

The service request network element is a network data analysis function network element supporting reasoning;

the target data analysis network element is a network data analysis function network element supporting model training or a network data analysis function network element supporting reasoning and model training.
A method of communication, comprising:

The method comprises the steps that a service providing network element obtains characteristic information of a first data analysis network element, wherein the characteristic information comprises analysis types supported by the first data analysis network element;

The service providing network element receives a request message from a service request network element, wherein the request message is used for requesting to discover a second data analysis network element, the request message comprises a target analysis type, and the analysis type supported by the second data analysis network element comprises the target analysis type; the first data analysis network element comprises the second data analysis network element;

The service providing network element determines the second data analysis network element according to the characteristic information and the request message;

the service providing network element sends at least one of the model operation platform type supported by the second data analysis network element and the model interoperation standard supported by the second data analysis network element to the service requesting network element, and address information and/or identification information of the second data analysis network element.
The method of claim 12, wherein the step of determining the position of the probe is performed,

The feature information further comprises a model operation platform type supported by the first data analysis network element and/or a model interoperation standard supported by the first data analysis network element.
The method according to claim 12 or 13, wherein,

The characteristic information further comprises at least one of a type of the first data analysis network element, a manufacturer identification of the first data analysis network element, and a service area identification of the first data analysis network element.
The method according to any one of claims 12 to 14, wherein,

The service providing network element is a network storage function network element;

The service request network element is a network data analysis function network element supporting reasoning;

The second data analysis network element comprises a network data analysis function network element supporting model training and/or a network data analysis function network element supporting reasoning and model training.
A method of communication, comprising:

The service request network element sends a request message to the service providing network element, wherein the request message is used for requesting to find a candidate data analysis network element, the request message comprises a target analysis type, and the analysis type supported by the candidate data analysis network element comprises the target analysis type;

The service request network element receives feature information of the candidate data analysis network element from the service providing network element, wherein the feature information comprises at least one of a model operation platform type supported by the candidate data analysis network element and a model interoperation standard supported by the candidate data analysis network element;

The service request network element determines a target data analysis network element according to the characteristic information, and the candidate data analysis network element comprises the target data analysis network element;

The service request network element sends a model request message to the target data analysis network element, wherein the model request message is used for requesting a model corresponding to the target analysis type;

And the service request network element receives the model corresponding to the target analysis type or the address of the model corresponding to the target analysis type from the target data analysis network element.
The method of claim 16, wherein the step of determining the position of the probe comprises,

The model operation platform type supported by the target data analysis network element comprises the model operation platform type required by the service request network element, and the model interoperation standard supported by the target data analysis network element does not comprise the model interoperation standard required by the service request network element; or alternatively

The model operation platform type supported by the target data analysis network element does not comprise the model operation platform type required by the service request network element, and the model interoperation standard supported by the target data analysis network element comprises the model interoperation standard required by the service request network element; or alternatively

The model operation platform type supported by the target data analysis network element comprises the model operation platform type required by the service request network element, and the model interoperation standard supported by the target data analysis network element comprises the model interoperation standard required by the service request network element.
The method according to claim 16 or 17, wherein,

The service request network element determines the target data analysis network element according to the characteristic information, and comprises the following steps:

And the service request network element determines the target data analysis network element according to the model operation platform type and the priority of the model interoperation standard.
The method of claim 18, wherein the step of providing the first information comprises,

The priority of the model runtime platform type is higher than the priority of the model interoperability standard.
The method according to any one of claims 16-19, wherein,

The model operation platform type supported by the target data analysis network element does not comprise the model operation platform type required by the service request network element, the model interoperation standard supported by the target data analysis network element comprises the model interoperation standard required by the service request network element, and the model request message comprises the model interoperation standard required by the service request network element.
The method according to any one of claims 16-20, wherein,

The service providing network element is a network storage function network element;

The service request network element is a network data analysis function network element supporting reasoning;

the candidate data analysis network elements comprise network data analysis function network elements supporting model training and/or network data analysis function network elements supporting reasoning and model training;

the target data analysis network element is a network data analysis function network element supporting model training or a network data analysis function network element supporting reasoning and model training.
A communication device, comprising:

A memory for storing computer instructions;

A processor for executing the computer instructions to cause the communication device to perform the method of any one of claims 1 to 21.
A computer readable storage medium comprising a computer program or instructions which, when run on a computer, cause the computer to perform the method of any of claims 1-21.
A computer program product comprising instructions which, when run on a computer, cause the computer to perform the method of any of claims 1-21.
A communication system, comprising: a service providing network element and a service requesting network element;

The serving network element being configured to perform the method according to any of claims 1-7, the service request network element being configured to perform the method according to any of claims 8-11; or alternatively

The serving network element being configured to perform the method according to any of claims 12-15, the service request network element being configured to perform the method according to any of claims 16-21.