CN-122001958-A - Transmission method, apparatus, device, readable storage medium, and computer program product

Abstract

The application belongs to the technical field of communication, and particularly relates to a transmission method, a device, equipment, a readable storage medium and a computer program product, wherein the method comprises the steps that first communication equipment receives first data from second communication equipment and a first identifier associated with the first data; the first communication device determines a target artificial intelligence AI model according to the first data and the first identifier, wherein the first identifier comprises at least one of a first type identifier comprising the identifier of the first data, a second type identifier comprising the associated identifier of the first data and a third type identifier comprising a model related identifier.

Inventors

• YANG ANG
• SUN PENG

Assignees

• 维沃移动通信有限公司

Dates

Publication Date

20260508

Application Date

20241106

Claims (20)

1. 1. A transmission method, comprising: The first communication device receives first data from the second communication device, and a first identification associated with the first data; The first communication device determines a target artificial intelligence AI model according to the first data and the first identification; wherein the first identifier comprises at least one of: A first type of identification comprising an identification of the first data; a second type of identification comprising an associated identification of the first data; A third type of identification, including model-related identifications.
2. 2. The method of claim 1, wherein the first communication device determining a target AI model from the first data and the first identification comprises: The first communication device uses the first data to train to obtain a first target AI model; The first communication device determines the first type of identification or the second type of identification as related information of the first target AI model, or the first communication device determines the third type of identification as a model identification of the first target AI model.
3. 3. The method of claim 1, wherein the first communication device determining a target AI model from the first data and the first identification comprises: The first communication equipment determines model related information according to the third type identifier; And the first communication equipment trains by using the first data and the model related information to obtain a first target AI model.
4. 4. A method according to claim 3, wherein the third class identification comprises at least one of: Identifying a model structure; the first communication equipment side model structure identifier; and the second communication equipment side model structure identifier.
5. 5. The method of claim 1, wherein the first communication device determining a target AI model from the first data and the first identification comprises: The first communication device obtains a second target AI model corresponding to the third type identifier; the first communication device trains the second target AI model by using the first data to obtain a third target AI model.
6. 6. The method of claim 5, wherein the first communication device obtaining a second target AI model corresponding to the third class identification comprises any one of: The first communication device receiving the second target AI model from the second communication device; the first communication device determines the second target AI model according to the third type identifier and the protocol convention; The first communication device determines the second target AI model from the first communication device existing model according to the third type identifier.
7. 7. The method of claim 5, wherein the first communication device trains the second target AI model using the first data to obtain a third target AI model, comprising at least one of: The first communication device directly modifies or updates a model structure or model parameters of the second target AI model by using the first data to obtain the third target AI model; The first communication device trains a first matching model capable of being matched with the second target AI model by using the first data, and trains the first matching model by using at least one of the first data and the second data to obtain a third target AI model, wherein the third target AI model is a model capable of being matched with the first matching model, and the second data is data which is not related to the first identifier; The first communication device trains the second target AI model by using at least one of the first data and the second data to obtain a second matching model which can be matched with the second target AI model, and the second matching model is determined to be the third target AI model, wherein the second data is data which is not associated with the first identifier; the first communication device generates third data by using the second target AI model, trains the second target AI model by using the first data and the third data, and obtains the third target AI model.
8. 8. The method according to claim 1, wherein the method further comprises: The first communication device uses at least one of the first type identifier, the second type identifier and the third type identifier to perform model lifecycle management on the target AI model.
9. 9. The method of claim 1, wherein the association identifier is used to indicate condition information, the condition information comprising at least one of: an antenna pattern of the first communication device side or the second communication device side; a beam pattern of the first communication device side or the second communication device side; at least part of hardware information or configuration information of the first communication equipment side or the second communication equipment side; Signaling configuration of the first communication device side or the second communication device side; surrounding wireless environment or wireless signal characteristics of the first communication device side or the second communication device side; the transmission purpose of the first communication device side or the second communication device side.
10. 10. The method of claim 1, wherein the target AI model is for at least one of: processing a reference signal; Channel signal transmission, reception, demodulation, or transmission; channel state information is obtained; beam management; channel prediction; Channel or source coding; Interference suppression; positioning; predicting and managing high-level business and parameters; Coding and parsing of control signaling.
11. 11. A transmission method, comprising: the second communication device sends first data to the first communication device and a first identification associated with the first data; wherein the first data and the first identification are for the first communication device to determine a target AI model; wherein the first identifier comprises at least one of: A first type of identification comprising an identification of the first data; a second type of identification comprising an associated identification of the first data; A third type of identification, including model-related identifications.
12. 12. The method of claim 11, wherein the third class identification comprises at least one of: Identifying a model structure; the first communication equipment side model structure identifier; and the second communication equipment side model structure identifier.
13. 13. The method of claim 11, wherein the method further comprises: the second communication device sends a second target AI model to the first communication device.
14. 14. The method of claim 11, wherein the method further comprises: the second communication device uses at least one of the first type identifier, the second type identifier and the third type identifier to perform model life cycle management on the target AI model.
15. 15. The method of claim 11, wherein the association identifier is used to indicate condition information, the condition information comprising at least one of: an antenna pattern of the first communication device side or the second communication device side; a beam pattern of the first communication device side or the second communication device side; at least part of hardware information or configuration information of the first communication equipment side or the second communication equipment side; Signaling configuration of the first communication device side or the second communication device side; surrounding wireless environment or wireless signal characteristics of the first communication device side or the second communication device side; the transmission purpose of the first communication device side or the second communication device side.
16. 16. The method of claim 11, wherein the target AI model is for at least one of: processing a reference signal; Channel signal transmission, reception, demodulation, or transmission; channel state information is obtained; beam management; channel prediction; Channel or source coding; Interference suppression; positioning; predicting and managing high-level business and parameters; Coding and parsing of control signaling.
17. 17. A transmission apparatus, comprising: a first receiving module for receiving first data from a second communication device, and a first identification associated with the first data; The first processing module is used for determining a target AI model according to the first data and the first identification; wherein the first identifier comprises at least one of: A first type of identification comprising an identification of the first data; a second type of identification comprising an associated identification of the first data; A third type of identification, including model-related identifications.
18. 18. The apparatus of claim 17, wherein the first processing module is configured to: training by using the first data to obtain a first target AI model; and determining the first type identifier or the second type identifier as related information of the first target AI model, or determining the third type identifier as a model identifier of the first target AI model.
19. 19. The apparatus of claim 17, wherein the first processing module is configured to: determining model related information according to the third type identifier; And training by using the first data and the model related information to obtain a first target AI model.
20. 20. The apparatus of claim 19, wherein the third class identification comprises at least one of: Identifying a model structure; A first communication equipment side model structure identifier; and the second communication equipment side model structure identifier.

Description

Transmission method, apparatus, device, readable storage medium, and computer program product Technical Field The present application belongs to the technical field of communication, and in particular relates to a transmission method, apparatus, device, readable storage medium and computer program product. Background At present, data transmission is carried out in artificial intelligence (ARTIFICIAL INTELLIGENCE, AI) communication, an identifier is carried in the process, and the meaning and the using mode of the identifier are not clearly defined in the prior art. Disclosure of Invention The embodiment of the application provides a transmission method, a transmission device, a transmission equipment, a readable storage medium and a computer program product, which can solve the problem that the significance and the use mode of a carried mark are not clearly defined in the data transmission process of AI communication. In a first aspect, a transmission method is provided, including: The first communication device receives first data from the second communication device, and a first identification associated with the first data; The first communication device determines a target artificial intelligence AI model according to the first data and the first identification; wherein the first identifier comprises at least one of: A first type of identification comprising an identification of the first data; a second type of identification comprising an associated identification of the first data; A third type of identification, including model-related identifications. In a second aspect, a transmission method is provided, including: the second communication device sends first data to the first communication device and a first identification associated with the first data; wherein the first data and the first identification are for the first communication device to determine a target AI model; wherein the first identifier comprises at least one of: A first type of identification comprising an identification of the first data; a second type of identification comprising an associated identification of the first data; A third type of identification, including model-related identifications. In a third aspect, there is provided a transmission apparatus comprising: a first receiving module for receiving first data from a second communication device, and a first identification associated with the first data; The first processing module is used for determining a target AI model according to the first data and the first identification; wherein the first identifier comprises at least one of: A first type of identification comprising an identification of the first data; a second type of identification comprising an associated identification of the first data; A third type of identification, including model-related identifications. In a fourth aspect, there is provided a transmission apparatus comprising: A first sending module, configured to send first data and a first identifier associated with the first data to a first communication device; wherein the first data and the first identification are for the first communication device to determine a target AI model; wherein the first identifier comprises at least one of: A first type of identification comprising an identification of the first data; a second type of identification comprising an associated identification of the first data; A third type of identification, including model-related identifications. In a fifth aspect, there is provided a transmission apparatus configured to perform the steps of the method as described in the first aspect or to implement the steps of the method as described in the second aspect. In a sixth aspect, there is provided a communication device comprising a processor and a memory storing a program or instructions executable on the processor, which when executed by the processor, performs the steps of the method as described in the first aspect, or performs the steps of the method as described in the second aspect. In a seventh aspect, a communication device is provided, comprising a processor and a communication interface, wherein, When the communication equipment is first communication equipment, the communication interface is used for the first communication equipment to receive first data from second communication equipment and a first identifier associated with the first data; the processor is configured to determine, by the first communication device, a target artificial intelligence AI model based on the first data and the first identification; wherein the first identifier comprises at least one of: A first type of identification comprising an identification of the first data; a second type of identification comprising an associated identification of the first data; A third type of identification, including model-related identifications. When the communication equipment is second communication equipment, the communication interface is used