Information transmission methods, systems, devices, storage media and program products

Abstract

This invention provides an information transmission method, system, device, storage medium, and program product. The method includes: a data source network element receiving configuration information of a transmission channel sent by an NWDAF through a DCCF; configuring a corresponding transmission channel based on the configuration information, wherein the transmission channel is generated based on a distributed DCCF architecture or APN6, and different transmission channels have different data transmission requirements; the DCCF receiving data sent by the data source network element through the transmission channel and sending the data to the NWDAF; the NWDAF calling a deployed AI model to perform AI data analysis on the data, obtaining AI data analysis information, and returning the AI ​​data analysis information to the DCCF; and the DCCF returning the AI ​​data analysis information to the data source network element through the corresponding transmission channel. Through the above mechanism, cellular networks and AI data can be better integrated.

Description

Technical Field

[0001] This invention relates to the field of information transmission technology, and in particular to an information transmission method, system, device, storage medium, and program product. Background Technology

[0002] The key to the application of AI (Artificial Intelligence) technology in cellular networks lies in the reasonable collection, processing, and application of network data. However, due to the presence of multiple operator networks, terminal equipment manufacturers, and network equipment manufacturers, AI models often cannot be shared across vendors and platforms. Furthermore, the information interaction involved in AI technology does not entirely align with the signaling and data interaction requirements of 5G networks. For example, AI data models require a wider range of data dimensions and a larger data volume. While there are no requirements for data transmission latency during the model building phase, there are requirements for the comprehensiveness, integrity, authenticity, security, and confidentiality of the data. Different QoS (Quality of Service) mechanisms can be used to guarantee the transmission of different data on the user plane in cellular networks. However, current technologies do not differentiate the transmission processing of AI data in cellular networks based on the transmitted data. Moreover, due to the inconsistency in the transmitted content and application purpose, existing signaling plane or data plane transmission mechanisms are unsuitable for AI-related information interaction in cellular networks. Summary of the Invention

[0003] This invention provides an information transmission method, system, device, storage medium, and program product to address the shortcomings of existing technologies in the transmission of AI data in cellular networks. These technologies do not provide differentiated transmission processing for the transmitted data, and the inconsistent transmission content and application purposes make existing signaling plane transmission or data plane transmission mechanisms unsuitable for AI-related information interaction in cellular networks.

[0004] This invention provides an information transmission method, comprising:

[0005] The data source network element receives the configuration information of the transmission channel sent by the network data analysis function NWDAF through the data acquisition coordination function DCCF, and configures the corresponding transmission channel based on the configuration information of the transmission channel. The transmission channel is generated based on the distributed DCCF architecture or APN6, and the data transmission requirements of different transmission channels are different.

[0006] The Data Acquisition Coordination Function (DCCF) receives data sent by the data source network element through the transmission channel and sends the data to the Network Data Analysis Function (NWDAF).

[0007] The Network Data Analysis Function (NWDAF) calls the deployed AI model to perform AI data analysis on the data, obtains AI data analysis information, and returns the AI ​​data analysis information to the Data Acquisition Coordination Function (DCCF).

[0008] The data acquisition coordination function DCCF returns the AI ​​data analysis information to the data source network element through the corresponding transmission channel.

[0009] According to an information transmission method provided by the present invention, the Data Acquisition Coordination Function (DCCF) includes a central DCCF network element and multiple distributed DCCF network elements. The data source network element receives configuration information of the transmission channel sent by the Network Data Analysis Function (NWDAF) through the DCCF, and configures the corresponding transmission channel based on the configuration information of the transmission channel, including:

[0010] The data source network element receives the configuration information of the transmission channel sent by the Network Data Analysis Function (NWDAF) through the central DCCF network element;

[0011] The data source network element determines the identification information of the distributed DCCF network element in the configuration information, and sends an HTTP connection to the distributed DCCF network element corresponding to the identification information based on the identification information to configure the corresponding transmission channel.

[0012] According to an information transmission method provided by the present invention, the identification information of the distributed DCCF network element includes an IP address and a port number. Different IP addresses correspond to different transmission channels for the distributed DCCF network elements, and the same IP address can be configured with different transmission channels based on different port numbers.

[0013] According to an information transmission method provided by the present invention, the Data Acquisition Coordination Function (DCCF) receives data sent by the data source network element through the transmission channel and sends the data to the Network Data Analysis Function (NWDAF), comprising:

[0014] The distributed DCCF network element receives data sent by the data source network element through the transmission channel;

[0015] The distributed DCCF network element sends the data to the central DCCF network element, so that the data can be sent to the Network Data Analysis Function (NWDAF) through the central DCCF network element.

[0016] According to an information transmission method provided by the present invention, the data source network element receives transmission channel configuration information sent by the Network Data Analysis Function (NWDAF) through the Data Acquisition Coordination Function (DCCF), and configures a corresponding transmission channel based on the transmission channel configuration information, including:

[0017] The data source network element receives the transmission channel configuration information sent by the Network Data Analysis Function (NWDAF) through the Data Acquisition Coordination Function (DCCF). The configuration information includes the configuration of the binding relationship between the identifier of the data source network element, the identifier of the Network Data Analysis Function (NWDAF), and the identifier of the Data Acquisition Coordination Function (DCCF).

[0018] Based on the configuration information, the data source network element determines the transmission channel indication information in the APN6 header of the data source network element to configure the corresponding transmission channel. The transmission channel indication information includes the identification information of the transmission channel, the extended identification information of the APN6 header, and the data transmission requirements of the transmission channel.

[0019] According to an information transmission method provided by the present invention, the method further includes:

[0020] The registration request information sent by the Data Acquisition Coordination Function (DCCF) and the data source network element to the Network Data Analysis Function (NWDAF);

[0021] The network data analysis function NWDAF registers and contracts with the data acquisition coordination function DCCF and the data source network element based on the unified data management UDM.

[0022] According to an information transmission method provided by the present invention, the number of data network elements is multiple, and the method further includes:

[0023] At least two data source network elements belonging to the same type of data are grouped into a resource group, and the target data source network element in the resource group is determined by the network data analysis function NWDAF.

[0024] The target data source network element receives the configuration information of the transmission channel sent by the Network Data Analysis Function (NWDAF) through the Data Acquisition Coordination Function (DCCF), and configures the corresponding transmission channel based on the configuration information of the transmission channel.

[0025] The target data source network element sends data to the data acquisition coordination function DCCF through the transmission channel, so that the data can be sent to the network data analysis function NWDAF through the data acquisition coordination function DCCF;

[0026] The Network Data Analysis Function (NWDAF) calls the deployed AI model to perform AI data analysis on the data, obtains AI data analysis information, and returns the AI ​​data analysis information to the Data Acquisition Coordination Function (DCCF).

[0027] The Data Acquisition Coordination Function (DCCF) returns the AI ​​data analysis information to the target data source network element through the corresponding transmission channel, so that the target data source network element forwards the AI ​​data analysis information to other data source network elements in the resource group.

[0028] The present invention also provides an information transmission system, comprising:

[0029] The data source network element is used to receive the configuration information of the transmission channel sent by the Network Data Analysis Function (NWDAF) through the Data Acquisition Coordination Function (DCCF), and configure the corresponding transmission channel based on the configuration information of the transmission channel. The transmission channel is generated based on the distributed DCCF architecture or APN6 header of the Data Acquisition Coordination Function (DCCF), and the data transmission requirements of different transmission channels are different.

[0030] The Data Acquisition Coordination Function (DCCF) is used to receive data sent by the data source network element through the transmission channel and send the data to the Network Data Analysis Function (NWDAF).

[0031] The Network Data Analysis Function (NWDAF) is used to call the deployed AI model to perform AI data analysis on the data, obtain AI data analysis information, and return the AI ​​data analysis information to the Data Acquisition Coordination Function (DCCF).

[0032] The Data Acquisition Coordination Function (DCCF) is used to return the AI ​​data analysis information to the data source network element through the corresponding transmission channel.

[0033] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the information transmission method as described above.

[0034] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the information transmission method as described above.

[0035] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the information transmission method as described above.

[0036] The information transmission method, system, device, storage medium, and program product provided by this invention configure the transmission channel based on the transmission channel configuration information sent by the Network Data Analysis Function (NWDAF) through the Data Acquisition Coordination Function (DCCF) from the data source network element. This configuration is generated based on the distributed architecture of the DCCF or APN6, ensuring the diversity and flexibility of the transmission channels. Different transmission channels correspond to different data transmission requirements, such as low latency, high security, or large data volume transmission. This flexibility allows the system to dynamically adjust the transmission method according to the specific needs of AI applications. Through this mechanism, the system can intelligently select the optimal transmission method and security path based on different AI data interaction needs, enabling better integration of cellular networks and AI data. Attached Figure Description

[0037] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0038] Figure 1 This is a schematic diagram of a scenario for the information transmission method provided by the present invention;

[0039] Figure 2 This is a flowchart illustrating the information transmission method provided by the present invention;

[0040] Figure 3 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0041] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0042] It should be noted here that the information transmission method provided by this invention is applied to the AI ​​interaction plane of cellular networks. Specifically, the AI ​​interaction plane of cellular networks refers to a closed-loop information interaction system used to support one or more networks in providing network data collection, AI analysis, and guidance for services based on the results, such as... Figure 1As shown, the network elements involved include NWDAF (Network Data Analytics Function), DCCF (Data Collection Coordination Function), any data source network element (Any NF) that can provide data to NWADF, and NWDAF service consumers (such as NRF / UDM / BSF, etc.).

[0043] It should be noted that the data source network element refers to the network function entity that can provide data to the Network Data Analysis Function (NWDAF), such as AMF (Access and Mobility Management Function), SMF (Session Management Function), PCF (Policy Control Function), UPF (User Plane Function), OAM (Operation Administration and Maintenance), AF (Application Function), etc.

[0044] NWDAF (Network Data Analytics Function) is a data-aware and analytical network element that automatically senses and analyzes network data, participating in the entire lifecycle of network planning, construction, operation, optimization, and maintenance. NWDAF can collect raw data from network elements such as NF, AF, and OAM, intelligently analyze this raw data, and output analyzed data to these network elements for network and service optimization.

[0045] DCCF (Data Collection Coordination Function) works in conjunction with NWDAF (Network Data Analysis Function) to coordinate data collection, reduce redundant data collection, and perform data formatting.

[0046] The Network AI Interaction Surface (NWADF) is primarily responsible for the interaction of network data analysis functions (NWDAF), DCCF, data, and information between NWDAF service consumers. A PLMN network can contain one or more Network AI Interaction Surfaces, or multiple PLMN networks can use the same Network AI Interaction Surface (e.g., in roaming scenarios, mutual access between different NWADFs).

[0047] Figure 2 One of the flowcharts of the information transmission method provided by the present invention; such as Figure 2 As shown, the method includes:

[0048] Step 210: The data source network element receives the configuration information of the transmission channel sent by the Network Data Analysis Function (NWDAF) through the Data Acquisition Coordination Function (DCCF), and configures the corresponding transmission channel based on the configuration information of the transmission channel. The transmission channel is generated based on the distributed DCCF architecture or APN6 header of the Data Acquisition Coordination Function (DCCF), and the data transmission requirements of different transmission channels are different.

[0049] The data source network element receives configuration information for the transmission channel from the Network Data Analysis Function (NWDAF) via the Data Acquisition Coordination Function (DCCF). This configuration information includes, but is not limited to, the type of transmission channel, channel identifier, and implementation method of key channel mechanisms, and is used to guide the data source network element on how to configure the corresponding transmission channel.

[0050] Here, a transmission channel refers to a data transmission channel provided for a specific type of AI data or a data type with specific transmission requirements, such as an AI model information transmission channel, a network service information channel, a user information transmission channel, a secure encrypted transmission channel, a highly reliable transmission channel, and a low-latency transmission channel. Different transmission channels provide different transmission service guarantees.

[0051] In this embodiment, the transmission channel configuration can be implemented in two ways: a distributed DCCF architecture based on the Data Acquisition Coordination Function (DCCF) or the APN6 message header.

[0052] Step 220: The Data Acquisition Coordination Function (DCCF) receives the data sent by the data source network element through the transmission channel and sends the data to the Network Data Analysis Function (NWDAF).

[0053] The Data Acquisition Coordination Function (DCCF) receives data from data source network elements through a transmission channel. This data may exist in its raw format, formatted data, or pre-processed data packets.

[0054] Before forwarding data to the Network Data Analysis Function (NWDAF), the Data Acquisition Coordination Function (DCCF) performs some data processing. This includes data cleaning (removing invalid or erroneous data), data formatting (converting data to a uniform format), and data compression (to reduce transmission bandwidth and storage requirements). The processed data is then forwarded by the DCCF to the NWDAF.

[0055] Step 230: The Network Data Analysis Function (NWDAF) calls the deployed AI model to perform AI data analysis on the data, obtains AI data analysis information, and returns the AI ​​data analysis information to the Data Acquisition Coordination Function (DCCF).

[0056] Once the Network Data Analysis Function (NWDAF) receives data, it inputs this data into the deployed AI model for processing and analysis. The AI ​​model then analyzes and processes the data to obtain AI data analysis information. This AI data analysis information includes, but is not limited to, user behavior characteristics, network performance metrics, security threat warnings, and business trend predictions.

[0057] After completing the AI ​​data analysis, the Network Data Analysis Function (NWDAF) will return the obtained AI data analysis information to the Data Acquisition Coordination Function (DCCF).

[0058] Step 240: The Data Acquisition Coordination Function (DCCF) returns the AI ​​data analysis information to the data source network element through the corresponding transmission channel.

[0059] Once the Network Data Analysis Function (NWDAF) completes AI data analysis and generates AI data analysis information, this information is sent back to the Data Acquisition Coordination Function (DCCF). Upon receiving the AI ​​data analysis information, the DCCF will send it back to the data source network element using the previously established transmission channel.

[0060] In this embodiment of the invention, the data source network element configures the transmission channel based on the transmission channel configuration information sent by the Network Data Analysis Function (NWDAF) through the Data Acquisition Coordination Function (DCCF). This configuration is generated based on the distributed architecture of the DCCF or the APN6 header, ensuring the diversity and flexibility of the transmission channels. Different transmission channels correspond to different data transmission requirements, such as low latency, high security, or large data volume transmission. This flexibility allows the system to dynamically adjust the transmission method according to the specific needs of AI applications. Through the above mechanism, the system can intelligently select the optimal transmission method and security path according to different AI data interaction needs, enabling better integration of cellular networks and AI data.

[0061] In some embodiments, the Data Acquisition Coordination Function (DCCF) includes a central DCCF network element and multiple distributed DCCF network elements. The data source network element receives the transmission channel configuration information sent by the Network Data Analysis Function (NWDAF) through the DCCF, and configures the corresponding transmission channel based on the transmission channel configuration information, including:

[0062] The data source network element receives the configuration information of the transmission channel sent by the Network Data Analysis Function (NWDAF) through the central DCCF network element;

[0063] The data source network element determines the identification information of the distributed DCCF network element in the configuration information, and sends an HTTP connection to the distributed DCCF network element corresponding to the identification information based on the identification information to configure the corresponding transmission channel.

[0064] Here, the Data Acquisition Coordination Function (DCCF) comprises a central DCCF network element and multiple distributed DCCF network elements. The central DCCF network element is responsible for overall data flow management, policy formulation, and interaction with the Network Data Analysis Function (NWDAF), while the distributed DCCF network elements are responsible for establishing and maintaining specific data transmission channels and communicating directly with the data source network elements.

[0065] When the Network Data Analysis Function (NWDAF) needs to retrieve data from a specific data source network element, it first interacts with the central DCCF network element to request the configuration of the corresponding data transmission channel. Based on the NWDAF request, the central DCCF network element determines the required data source network element and the optimal data transmission path, and then generates configuration information containing this information. After receiving the transmission channel configuration information from the central DCCF network element, the data source network element parses the configuration information and identifies the identifier information (such as IP address and port number) of the distributed DCCF network element with which it needs to establish a connection. Based on the identified identifier information of the distributed DCCF network element, the data source network element initiates an HTTP connection request. Once the connection is established, the data source network element can send data to the distributed DCCF network element through this channel, and then the central DCCF network element forwards it to the NWDAF for analysis.

[0066] Furthermore, the identification information of the distributed DCCF network element includes IP address and port number. Different IP addresses correspond to different transmission channels for the distributed DCCF network element, and the distributed DCCF network element with the same IP address can be configured with different transmission channels based on different port numbers.

[0067] In a distributed architecture, when multiple distributed DCCF network elements are deployed on the same physical entity, they share the same network interface and IP address. To distinguish these distributed DCCF network elements and allocate independent communication channels to them, different port numbers can be assigned to each distributed DCCF network element.

[0068] Taking the configuration of secure encrypted transmission channels, high-reliability transmission channels, and low-latency transmission channels in the AI ​​interaction plane of a cellular network as an example, the configuration information of the transmission channels for the Network Data Analysis Function (NWDAF) is shown in the table below:

[0069]

[0070] It is worth noting that the same cellular network AI interaction surface can contain multiple secure encryption channels, and different secure encryption channels can use different encryption algorithms according to different encryption levels; the same cellular network AI interaction surface can contain multiple high-reliability transmission channels, and different high-reliability channels can be used to provide different levels of data reliability according to different reliability assurance schemes; the same cellular network AI interaction surface can contain multiple low-latency transmission channels, and different low-latency transmission channels can be used to provide different latency transmission guarantees according to different low-latency assurance schemes.

[0071] In some embodiments, the Data Acquisition Coordination Function (DCCF) receives data sent by the data source network element through the transmission channel and sends the data to the Network Data Analysis Function (NWDAF), including:

[0072] The distributed DCCF network element receives data sent by the data source network element through the transmission channel;

[0073] The distributed DCCF network element sends the data to the central DCCF network element, so that the data can be sent to the Network Data Analysis Function (NWDAF) through the central DCCF network element.

[0074] The data source network element sends the data it generates or collects to the distributed DCCF network element through the transmission channel. The distributed DCCF network element sends the data collected from the data source network element to the central DCCF network element. After receiving the data from each distributed DCCF network element, the central DCCF network element sends the data to the Network Data Analysis Function (NWDAF) for in-depth analysis.

[0075] This invention, through the collaborative work of a central DCCF network element and distributed DCCF network elements, can flexibly respond to the data transmission needs of different data source network elements. Through the above mechanism, the system can intelligently select the optimal transmission method and security path according to different AI data interaction needs, so that cellular networks and AI data can be better integrated.

[0076] In some embodiments, the data source network element receives the transmission channel configuration information sent by the Network Data Analysis Function (NWDAF) through the Data Acquisition Coordination Function (DCCF), and configures the corresponding transmission channel based on the transmission channel configuration information, including:

[0077] The data source network element receives the transmission channel configuration information sent by the Network Data Analysis Function (NWDAF) through the Data Acquisition Coordination Function (DCCF). The configuration information includes the configuration of the binding relationship between the identifier of the data source network element, the identifier of the Network Data Analysis Function (NWDAF), and the identifier of the Data Acquisition Coordination Function (DCCF).

[0078] Based on the configuration information, the data source network element determines the transmission channel indication information in the APN6 header of the data source network element to configure the corresponding transmission channel. The transmission channel indication information includes the identification information of the transmission channel, the extended identification information of the APN6 header, and the data transmission requirements of the transmission channel.

[0079] In this embodiment, scalable APN6 (Application-aware IPv6 Networking) is used for data transmission. Here, APN6 utilizes the extensible header of IPv6 packets or the programming features of SRv6 packets to embed application-related information (such as application type, user identity, quality of service requirements, etc.) into IPv6 data packets. By embedding application information, the network can be aware of the type of application being transmitted, the user identity, and their quality of service requirements (such as bandwidth, latency, packet loss rate, jitter, etc.).

[0080] Here, multiple transmission channels with different SLA guarantees are deployed in the AI ​​interaction layer of the cellular network. Each transmission channel can provide different transmission SLAs (such as bandwidth, latency, jitter, packet loss rate, security level, etc.). The transmission channels are defined according to the data types to be transmitted, such as AI small data channels, AI big data channels, AI security and confidentiality channels, AI high reliability channels, and AI low latency channels. The transmission channels can be implemented using SRV6 or by slicing for physical resource reservation and isolation, etc., without restriction.

[0081] The data source network element receives configuration information sent by the Network Data Analysis Function (NWDAF) through the Data Acquisition Coordination Function (DCCF). This configuration information includes detailed information about the binding relationship between the data source network element, the Network Data Analysis Function (NWDAF), and the Data Acquisition Coordination Function (DCCF), as well as the settings for the data transmission channel.

[0082] Based on the configuration information, the data source network element determines the transmission channel indication information in the APN6 header of the data source network element. This indication information includes the identification information of the transmission channel (used to uniquely identify the transmission channel), the extended identification information of the APN6 header, and the data transmission requirements of the transmission channel.

[0083] It should be noted here that, referring to the table below, the APN6 header includes the following fields:

[0084]

[0085] Taking the security requirements for carrying transmission information in APN6 as an example, this explains how to match the corresponding AI data service transmission channel by carrying security requirement information in APN6.

[0086] In the APN6 header, the APN-Para-Type currently describes the network performance requirements parameters included in the APN Para: bandwidth, latency, jitter, and packet loss rate. Specifically, when Bit 0 is 1, it indicates a bandwidth requirement; when Bit 1 is 1, it indicates a latency requirement; when Bit 2 is 1, it indicates a jitter requirement; and when Bit 3 is 1, it indicates a packet loss rate requirement.

[0087] In this embodiment, Bit4 being 1 indicates that the service has a security requirement. Furthermore, the security requirement can be set by extending the APN Para field length using one or more bits, or by adding an extended header; there are no restrictions on this.

[0088] After determining the security requirements in the APN-Para-Type field, the specific security requirements can be carried in the APN-Para field. For example, business data can require that packet integrity protection is mandatory and encryption is optional, or that integrity protection is mandatory and asymmetric encryption is mandatory, etc. Alternatively, the transmission channel ID information or specific transmission channel requirements can be carried in the Intent field of the packet header.

[0089] Taking the configuration of secure encrypted transmission channels, high-reliability transmission channels, and low-latency transmission channels in the AI ​​interaction plane of a cellular network as an example, the configuration information of the transmission channels for the Network Data Analysis Function (NWDAF) is shown in the table below:

[0090]

[0091] When sending data, the data source network element carries the transmission channel indication information in the APN6 header. Specifically, the transmission channel indication information is carried in the APN Para section of the APN6 header.

[0092] In this embodiment, APN6 is used to carry transmission channel indication information, enabling the system to intelligently select the optimal transmission method and security path according to different AI data interaction needs.

[0093] In some embodiments, it also includes:

[0094] The registration request information sent by the Data Acquisition Coordination Function (DCCF) and the data source network element to the Network Data Analysis Function (NWDAF);

[0095] The network data analysis function NWDAF registers and contracts with the data acquisition coordination function DCCF and the data source network element based on the unified data management UDM.

[0096] It should be noted that before the Network Data Analysis Function (NWDAF) configures the transmission channel information to the central DCCF network element, distributed DCCF network element, and data source network element of the cellular network AI interaction surface through the Data Acquisition Coordination Function (DCCF), the Data Acquisition Coordination Function (DCCF) and the data source network element need to pre-register to enter the cellular network AI interaction surface.

[0097] Specifically, the Data Acquisition Coordination Function (DCCF) and the data source network element need to send registration request information to the Network Data Analysis Function (NWDAF). The registration request information typically includes the network element's identifier (such as IP address), the network element's PLMN (Public Land Mobile Network) information, the type of information the network element interacts with in the cellular network AI interaction plane, and the channel capabilities supported by the Data Acquisition Coordination Function (DCCF).

[0098] The Network Data Analysis Function (NWDAF) receives registration request information from the Data Acquisition Coordination Function (DCCF) and the data source network element, and requests contract information through the Unified Data Management (UDM) to confirm the identity and permissions of the registered network element.

[0099] After the Unified Data Management (UDM) returns the contract information, the Network Data Analysis Function (NWDAF) further confirms whether the registration is successful based on the contract information. If the registration is successful, the NWDAF will send a registration success notification to the Data Acquisition Coordination Function (DCCF) and the data source network element.

[0100] In some embodiments, the number of data network elements is multiple, and the method further includes:

[0101] At least two data source network elements belonging to the same type of data are grouped into a resource group, and the target data source network element in the resource group is determined by the network data analysis function NWDAF.

[0102] The target data source network element receives the configuration information of the transmission channel sent by the Network Data Analysis Function (NWDAF) through the Data Acquisition Coordination Function (DCCF), and configures the corresponding transmission channel based on the configuration information of the transmission channel.

[0103] The target data source network element sends data to the data acquisition coordination function DCCF through the transmission channel, so that the data can be sent to the network data analysis function NWDAF through the data acquisition coordination function DCCF;

[0104] The Network Data Analysis Function (NWDAF) calls the deployed AI model to perform AI data analysis on the data, obtains AI data analysis information, and returns the AI ​​data analysis information to the Data Acquisition Coordination Function (DCCF).

[0105] The Data Acquisition Coordination Function (DCCF) returns the AI ​​data analysis information to the target data source network element through the corresponding transmission channel, so that the target data source network element forwards the AI ​​data analysis information to other data source network elements in the resource group.

[0106] In this embodiment, when multiple data source network elements exist, they can be divided into multiple resource groups based on data type or other business logic. Each resource group contains at least two data source network elements. Here, the same data source network element can be included in different resource groups.

[0107] Within each resource group, the Network Data Analysis Function (NWDAF) provides information of the corresponding data type based on different network conditions and network element load analysis, specifying a certain data source network element (i.e., the target data source network element). Other network elements do not need to provide information to prevent resource waste.

[0108] The target data source network element is responsible for the main data interaction with the Network Data Analysis Function (NWDAF) and the Data Acquisition Coordination Function (DCCF). After receiving AI data analysis information from the NWDAF, the target data source network element forwards this information to other data source network elements in the resource group. In this way, all data source network elements within the resource group can share these analysis results.

[0109] The information transmission system provided by the present invention is described below. The information transmission system described below and the information transmission method described above can be referred to in correspondence with each other.

[0110] In this embodiment, the system includes: a data source network element, a data acquisition coordination function DCCF, and a network data analysis function NWDAF.

[0111] The data source network element is used to receive the configuration information of the transmission channel sent by the Network Data Analysis Function (NWDAF) through the Data Acquisition Coordination Function (DCCF), and configure the corresponding transmission channel based on the configuration information of the transmission channel. The transmission channel is generated based on the distributed DCCF architecture or APN6 header of the Data Acquisition Coordination Function (DCCF), and the data transmission requirements of different transmission channels are different.

[0112] The Data Acquisition Coordination Function (DCCF) is used to receive data sent by the data source network element through the transmission channel and send the data to the Network Data Analysis Function (NWDAF).

[0113] The Network Data Analysis Function (NWDAF) is used to call the deployed AI model to perform AI data analysis on the data, obtain AI data analysis information, and return the AI ​​data analysis information to the Data Acquisition Coordination Function (DCCF).

[0114] The Data Acquisition Coordination Function (DCCF) is used to return the AI ​​data analysis information to the data source network element through the corresponding transmission channel.

[0115] In this embodiment of the invention, the data source network element configures the transmission channel based on the transmission channel configuration information sent by the Network Data Analysis Function (NWDAF) through the Data Acquisition Coordination Function (DCCF). This configuration is generated based on the distributed architecture of the DCCF or the APN6 header, ensuring the diversity and flexibility of the transmission channels. Different transmission channels correspond to different data transmission requirements, such as low latency, high security, or large data volume transmission. This flexibility allows the system to dynamically adjust the transmission method according to the specific needs of AI applications. Through the above mechanism, the system can intelligently select the optimal transmission method and security path according to different AI data interaction needs, enabling better integration of cellular networks and AI data.

[0116] Figure 3 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 3 As shown, the electronic device may include: a processor 310, a communications interface 320, a memory 330, and a communication bus 340, wherein the processor 310, the communications interface 320, and the memory 330 communicate with each other via the communication bus 340. The processor 310 can call logical instructions in the memory 330 to execute an information transmission method, which includes:

[0117] The data source network element receives the configuration information of the transmission channel sent by the network data analysis function NWDAF through the data acquisition coordination function DCCF, and configures the corresponding transmission channel based on the configuration information of the transmission channel. The transmission channel is generated based on the distributed DCCF architecture or APN6, and the data transmission requirements of different transmission channels are different.

[0118] The Data Acquisition Coordination Function (DCCF) receives data sent by the data source network element through the transmission channel and sends the data to the Network Data Analysis Function (NWDAF).

[0119] The Network Data Analysis Function (NWDAF) calls the deployed AI model to perform AI data analysis on the data, obtains AI data analysis information, and returns the AI ​​data analysis information to the Data Acquisition Coordination Function (DCCF).

[0120] The data acquisition coordination function DCCF returns the AI ​​data analysis information to the data source network element through the corresponding transmission channel.

[0121] Furthermore, the logical instructions in the aforementioned memory 330 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, essentially, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0122] On the other hand, the present invention also provides a computer program product, the computer program product comprising a computer program, the computer program being able to be stored on a non-transitory computer-readable storage medium, and when the computer program is executed by a processor, the computer being able to execute the information transmission method provided by the above methods, the method comprising:

[0123] The data source network element receives the configuration information of the transmission channel sent by the network data analysis function NWDAF through the data acquisition coordination function DCCF, and configures the corresponding transmission channel based on the configuration information of the transmission channel. The transmission channel is generated based on the distributed DCCF architecture or APN6, and the data transmission requirements of different transmission channels are different.

[0124] The Data Acquisition Coordination Function (DCCF) receives data sent by the data source network element through the transmission channel and sends the data to the Network Data Analysis Function (NWDAF).

[0125] The Network Data Analysis Function (NWDAF) calls the deployed AI model to perform AI data analysis on the data, obtains AI data analysis information, and returns the AI ​​data analysis information to the Data Acquisition Coordination Function (DCCF).

[0126] The data acquisition coordination function DCCF returns the AI ​​data analysis information to the data source network element through the corresponding transmission channel.

[0127] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to perform the information transmission methods provided by the methods described above, the method comprising:

[0128] The data source network element receives the configuration information of the transmission channel sent by the network data analysis function NWDAF through the data acquisition coordination function DCCF, and configures the corresponding transmission channel based on the configuration information of the transmission channel. The transmission channel is generated based on the distributed DCCF architecture or APN6, and the data transmission requirements of different transmission channels are different.

[0129] The Data Acquisition Coordination Function (DCCF) receives data sent by the data source network element through the transmission channel and sends the data to the Network Data Analysis Function (NWDAF).

[0130] The Network Data Analysis Function (NWDAF) calls the deployed AI model to perform AI data analysis on the data, obtains AI data analysis information, and returns the AI ​​data analysis information to the Data Acquisition Coordination Function (DCCF).

[0131] The data acquisition coordination function DCCF returns the AI ​​data analysis information to the data source network element through the corresponding transmission channel.

[0132] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0133] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0134] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An information transmission method, characterized in that, The method includes: The data source network element receives the configuration information of the transmission channel sent by the network data analysis function NWDAF through the data acquisition coordination function DCCF, and configures the corresponding transmission channel based on the configuration information of the transmission channel. The transmission channel is generated based on the distributed DCCF architecture or APN6, and the data transmission requirements of different transmission channels are different. The Data Acquisition Coordination Function (DCCF) receives data sent by the data source network element through the transmission channel and sends the data to the Network Data Analysis Function (NWDAF). The Network Data Analysis Function (NWDAF) calls the deployed AI model to perform AI data analysis on the data, obtains AI data analysis information, and returns the AI ​​data analysis information to the Data Acquisition Coordination Function (DCCF). The data acquisition coordination function DCCF returns the AI ​​data analysis information to the data source network element through the corresponding transmission channel.

2. The information transmission method according to claim 1, characterized in that, The Data Acquisition Coordination Function (DCCF) includes a central DCCF network element and multiple distributed DCCF network elements. The data source network element receives the transmission channel configuration information sent by the Network Data Analysis Function (NWDAF) through the DCCF, and configures the corresponding transmission channel based on this configuration information, including: The data source network element receives the configuration information of the transmission channel sent by the Network Data Analysis Function (NWDAF) through the central DCCF network element; The data source network element determines the identification information of the distributed DCCF network element in the configuration information, and sends an HTTP connection to the distributed DCCF network element corresponding to the identification information based on the identification information to configure the corresponding transmission channel.

3. The information transmission method according to claim 2, characterized in that, The identification information of the distributed DCCF network element includes IP address and port number. Different IP addresses correspond to different transmission channels for the distributed DCCF network element, and the distributed DCCF network element with the same IP address can be configured with different transmission channels based on different port numbers.

4. The information transmission method according to claim 2, characterized in that, The Data Acquisition Coordination Function (DCCF) receives data sent by the data source network element through the transmission channel and sends the data to the Network Data Analysis Function (NWDAF), including: The distributed DCCF network element receives data sent by the data source network element through the transmission channel; The distributed DCCF network element sends the data to the central DCCF network element, so that the data can be sent to the Network Data Analysis Function (NWDAF) through the central DCCF network element.

5. The information transmission method according to claim 1, characterized in that, The data source network element receives the transmission channel configuration information sent by the Network Data Analysis Function (NWDAF) through the Data Acquisition Coordination Function (DCCF), and configures the corresponding transmission channel based on the transmission channel configuration information, including: The data source network element receives the transmission channel configuration information sent by the Network Data Analysis Function (NWDAF) through the Data Acquisition Coordination Function (DCCF). The configuration information includes the configuration of the binding relationship between the identifier of the data source network element, the identifier of the Network Data Analysis Function (NWDAF), and the identifier of the Data Acquisition Coordination Function (DCCF). Based on the configuration information, the data source network element determines the transmission channel indication information in the APN6 header of the data source network element to configure the corresponding transmission channel. The transmission channel indication information includes the identification information of the transmission channel, the extended identification information of the APN6 header, and the data transmission requirements of the transmission channel.

6. The information transmission method according to claim 1, characterized in that, The method further includes: The registration request information sent by the Data Acquisition Coordination Function (DCCF) and the data source network element to the Network Data Analysis Function (NWDAF); The network data analysis function NWDAF registers and contracts with the data acquisition coordination function DCCF and the data source network element based on the unified data management UDM.

7. The information transmission method according to claim 1, characterized in that, The number of data source network elements is multiple, and the method further includes: At least two data source network elements belonging to the same type of data are grouped into a resource group, and the target data source network element in the resource group is determined by the network data analysis function NWDAF. The target data source network element receives the configuration information of the transmission channel sent by the Network Data Analysis Function (NWDAF) through the Data Acquisition Coordination Function (DCCF), and configures the corresponding transmission channel based on the configuration information of the transmission channel. The target data source network element sends data to the data acquisition coordination function DCCF through the transmission channel, so that the data can be sent to the network data analysis function NWDAF through the data acquisition coordination function DCCF; The Network Data Analysis Function (NWDAF) calls the deployed AI model to perform AI data analysis on the data, obtains AI data analysis information, and returns the AI ​​data analysis information to the Data Acquisition Coordination Function (DCCF). The Data Acquisition Coordination Function (DCCF) returns the AI ​​data analysis information to the target data source network element through the corresponding transmission channel, so that the target data source network element forwards the AI ​​data analysis information to other data source network elements in the resource group.

8. An information transmission system, characterized in that, include: The data source network element is used to receive the configuration information of the transmission channel sent by the Network Data Analysis Function (NWDAF) through the Data Acquisition Coordination Function (DCCF), and configure the corresponding transmission channel based on the configuration information of the transmission channel. The transmission channel is generated based on the distributed DCCF architecture or APN6 header of the Data Acquisition Coordination Function (DCCF), and the data transmission requirements of different transmission channels are different. The Data Acquisition Coordination Function (DCCF) is used to receive data sent by the data source network element through the transmission channel and send the data to the Network Data Analysis Function (NWDAF). The Network Data Analysis Function (NWDAF) is used to call the deployed AI model to perform AI data analysis on the data, obtain AI data analysis information, and return the AI ​​data analysis information to the Data Acquisition Coordination Function (DCCF). The Data Acquisition Coordination Function (DCCF) is used to return the AI ​​data analysis information to the data source network element through the corresponding transmission channel.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the information transmission method as described in any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the information transmission method as described in any one of claims 1 to 7.

11. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the information transmission method as described in any one of claims 1 to 7.

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