CN-122028215-A - Wireless communication method, device and equipment

Abstract

The application discloses a wireless communication method, a device and equipment, belonging to the communication field; the random access report comprises at least one item of first information used for indicating whether random access is related to prediction of an AI unit, KPI information related to random access predicted by the AI unit and event information related to random access predicted by the AI unit.

Inventors

• ZHOU TONG
• PAN XIANG
• CHEN XIAOHANG

Assignees

• 维沃移动通信有限公司

Dates

Publication Date

20260512

Application Date

20241111

Claims (20)

1. 1. A method of wireless communication, comprising: The terminal sends a random access report to the network side equipment; wherein the random access report includes at least one of: First information indicating whether random access is related to prediction of an artificial intelligence AI unit; Key performance index KPI information which is predicted by an AI unit and is related to random access; the AI unit predicts event information related to random access.
2. 2. The method of claim 1, wherein the step of determining the position of the substrate comprises, The first information comprises first indication information; The first indication information is used for indicating whether the target beam identification is obtained based on AI unit prediction, wherein the target beam identification is the beam identification corresponding to the message in random access sent by the terminal.
3. 3. The method of claim 2, wherein the step of determining the position of the substrate comprises, The message in the random access includes at least one of the following: Message 1Msg1 in four-step random access, message A MsgA in two-step random access.
4. 4. A method according to claim 2 or 3, characterized in that, The first information includes at least one of: Second indication information for indicating whether the beam quality is greater than the first threshold value, which is predicted based on the AI unit; and third indication information for indicating whether the synchronization of the random access is based on the AI unit prediction.
5. 5. The method according to any one of claim 1 to 4, wherein, The KPI information related to random access predicted by the AI unit includes at least one of: Predicting accuracy; The difference between the predicted value and the measured value.
6. 6. The method of claim 5, wherein the step of determining the position of the probe is performed, The prediction accuracy comprises at least one of the following: the prediction accuracy of the beam identification of the beam quality top 1; the prediction accuracy of the beam identification of the beam quality top K, K is a positive integer, and K is more than 1; the prediction accuracy of the synchronization of random access.
7. 7. The method according to any one of claim 1 to 6, wherein, The event information related to random access predicted by the AI unit includes at least one of: Whether the predicted value is greater than a second threshold in the actual measurement; whether the predicted value is the same as the measured value.
8. 8. The method of claim 7, wherein the step of determining the position of the probe is performed, Whether the predicted value is greater than a second threshold in the actual measurement includes at least one of: the beam of predicted beam quality top1 identifies whether the beam quality in the actual measurement is greater than a second threshold; the beam of the predicted beam quality top K identifies whether the beam quality in actual measurement is greater than a second threshold, wherein K is a positive integer and K >1; The beam of the predicted beam quality top1 identifies whether the beam quality measured in message 2Msg2 in the four-step random access or message B MsgB in the two-step random access is greater than a second threshold.
9. 9. The method of claim 7, wherein the step of determining the position of the probe is performed, Whether the predicted value is the same as the measured value or not includes at least one of the following: whether the beam identification of the predicted beam quality top1 is the same as the beam identification of the actually measured beam quality top 1; whether the predicted beam mark with the strongest beam quality belongs to the first K beam marks with the strongest beam quality in actual measurement or not, wherein K is a positive integer and is more than 1; whether the beam identifier with the strongest measured beam quality belongs to the first K beam identifiers with the strongest predicted beam quality or not, wherein K is a positive integer and K is more than 1.
10. 10. The method according to any one of claims 1 to 9, wherein, The random access report comprises at least one of the following items that an AI unit predicts corresponding measurement information and predicts corresponding report information; The AI unit predicts corresponding measurement information including at least one of a beam identifier of a first type of beam, a beam quality of the first type of beam, a beam identifier of a third type of beam, a historical beam quality of the third type of beam, and a measurement timestamp; the AI unit predicts the corresponding report information including at least one of the beam identification of the beam quality top1 of the second type of beam, the beam identification of the beam quality top K of the second type of beam, the beam quality of the second type of beam, and the prediction timestamp of the AI unit; Wherein K is a positive integer and K >1; The period of the first type of beam is larger than the period of the second type of beam, the period of the first type of beam is larger than the period of the third type of beam, the cell corresponding to the first type of beam is the same as the cell corresponding to the second type of beam, or the period of the first type of beam is smaller than the period of the third type of beam, the period of the second type of beam is smaller than the period of the third type of beam, and the cell corresponding to the first type of beam is different from the cell corresponding to the second type of beam.
11. 11. The method according to any one of claims 1 to 10, further comprising: the terminal receives second information from the network side equipment; wherein the second information includes at least one of: relevant configuration of the target AI unit; Fourth indication information for indicating an activation target AI unit; Fifth instruction information for instructing to deactivate the target AI unit; wherein the target AI unit is an AI unit related to random access.
12. 12. A method of wireless communication, comprising: the network side equipment receives a random access report from the terminal; wherein the random access report includes at least one of: First information indicating whether random access is related to prediction of an artificial intelligence AI unit; Key performance index KPI information which is predicted by an AI unit and is related to random access; the AI unit predicts event information related to random access.
13. 13. The method of claim 12, wherein the step of determining the position of the probe is performed, The first information comprises first indication information; wherein the first indication information is used for indicating whether the target beam identification is predicted based on an AI unit; The target beam identifier is a beam identifier corresponding to a message in random access sent by the terminal.
14. 14. The method of claim 13, wherein the step of determining the position of the probe is performed, The message in the random access includes at least one of the following: Message 1Msg1 in four-step random access, message A MsgA in two-step random access.
15. 15. The method according to claim 13 or 14, wherein, The first information includes at least one of: Second indication information for indicating whether the beam quality is greater than the first threshold value, which is predicted based on the AI unit; and third indication information for indicating whether the synchronization of the random access is based on the AI unit prediction.
16. 16. The method according to any one of claims 12 to 15, wherein, The KPI information related to random access predicted by the AI unit includes at least one of: Predicting accuracy; The difference between the predicted value and the measured value.
17. 17. The method according to any one of claims 12 to 16, wherein, The event information related to random access predicted by the AI unit includes at least one of: Whether the predicted value is greater than a second threshold in the actual measurement; whether the predicted value is the same as the measured value.
18. 18. The method according to any one of claims 12 to 17, wherein, The random access report comprises at least one of the following items that an AI unit predicts corresponding measurement information and predicts corresponding report information; The AI unit predicts corresponding measurement information including at least one of a beam identifier of a first type of beam, a beam quality of the first type of beam, a beam identifier of a third type of beam, a historical beam quality of the third type of beam, and a measurement timestamp; the AI unit predicts the corresponding report information including at least one of the beam identification of the beam quality top1 of the second type of beam, the beam identification of the beam quality top K of the second type of beam, the beam quality of the second type of beam, and the prediction timestamp of the AI unit; Wherein K is a positive integer and K >1; The period of the first type of beam is larger than the period of the second type of beam, the period of the first type of beam is larger than the period of the third type of beam, the cell corresponding to the first type of beam is the same as the cell corresponding to the second type of beam, or the period of the first type of beam is smaller than the period of the third type of beam, the period of the second type of beam is smaller than the period of the third type of beam, and the cell corresponding to the first type of beam is different from the cell corresponding to the second type of beam.
19. 19. The method according to any one of claims 12 to 18, further comprising: the network side equipment sends second information to the terminal; wherein the second information includes at least one of: relevant configuration of the target AI unit; Fourth indication information for indicating an activation target AI unit; Fifth instruction information for instructing to deactivate the target AI unit; wherein the target AI unit is an AI unit related to random access.
20. 20. A wireless communications apparatus, comprising: a sending module, configured to send a random access report to a network side device; wherein the random access report includes at least one of: First information indicating whether random access is related to prediction of an artificial intelligence AI unit; Key performance index KPI information which is predicted by an AI unit and is related to random access; the AI unit predicts event information related to random access.

Description

Wireless communication method, device and equipment Technical Field The present application belongs to the field of communication technology, and in particular, relates to a wireless communication method, device and equipment. Background In the related art, when a beam period is elongated for the purpose of, for example, energy saving, a beam quality is predicted using an artificial intelligence (ARTIFICIAL INTELLIGENCE, AI) unit, and instead of obtaining a beam identification based on an actual beam, an existing random access report cannot be used for model monitoring of an AI unit. Disclosure of Invention The embodiment of the application provides a wireless communication method, a device and equipment, which can solve the problem that random access reports cannot enable the model monitoring of random access related AI units. In a first aspect, a wireless communication method is provided, including: The terminal sends a random access report to the network side equipment; wherein the random access report includes at least one of: First information indicating whether random access is related to prediction of an AI unit; The KPI information which is predicted by the AI unit and related to random access; the AI unit predicts event information related to random access. In a second aspect, there is provided another wireless communication method comprising: the network side equipment receives a random access report from the terminal; wherein the random access report includes at least one of: First information indicating whether random access is related to prediction of an AI unit; The KPI information which is predicted by the AI unit and related to random access; the AI unit predicts event information related to random access. In a third aspect, there is provided a wireless communication apparatus comprising: a sending module, configured to send a random access report to a network side device; wherein the random access report includes at least one of: First information indicating whether random access is related to prediction of an AI unit; Key performance index KPI information which is predicted by an AI unit and is related to random access; the AI unit predicts event information related to random access. In a fourth aspect, there is provided another wireless communication apparatus comprising: A receiving module for receiving a random access report from a terminal; wherein the random access report includes at least one of: First information indicating whether random access is related to prediction of an AI unit; The KPI information which is predicted by the AI unit and related to random access; the AI unit predicts event information related to random access. In a fifth aspect, there is provided a wireless communication device 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 terminal comprising a processor and a memory storing a program or instructions executable on the processor, which when executed by the processor, implement the steps of the method as described in the first aspect. A seventh aspect provides a terminal comprising a processor and a communication interface; the communication interface is used for sending a random access report to the network side equipment; wherein the random access report includes at least one of: First information indicating whether random access is related to prediction of an AI unit; The KPI information which is predicted by the AI unit and related to random access; the AI unit predicts event information related to random access. In an eighth aspect, a network side device is provided, the network side device comprising a processor and a memory storing a program or instructions executable on the processor, the program or instructions implementing the steps of the method according to the second aspect when executed by the processor. A ninth aspect provides a network side device, including a processor and a communication interface; wherein the communication interface is used for receiving a random access report from the terminal; wherein the random access report includes at least one of: First information indicating whether random access is related to prediction of an AI unit; The KPI information which is predicted by the AI unit and related to random access; the AI unit predicts event information related to random access. In a tenth aspect, there is provided a readable storage medium having stored thereon a program or instructions which when executed by a processor, performs the steps of the method according to the first aspect or performs the steps of the method according to the second aspect. An eleventh aspect provides a wireless communication system comprising a terminal operable to perform the steps of the method as described in the first aspect and a network side device operable to perform the steps of the method as described in