Bwp switching method and apparatus, communication device, and storage medium

Patent metadata

Field	Value
Publication number	US-2025071604-A1
Application number	US-202118725514-A
Country	US
Kind code	A1
Filing date	Dec 31, 2021
Priority date	Dec 31, 2021
Publication date	Feb 27, 2025
Grant date	—

Abstract

A bandwidth part (BWP) switching method is performed by a base station. The method includes: sending timing indication information, wherein the timing indication information indicates configuration of timing information, and the timing information is used for user equipment (UE) to determine a related operation of BWP switching according to a specified duration indicated by the timing information.

First claim

1 . A bandwidth part (BWP) switching method, performed by a base station, comprising:
sending timing indication information, wherein the timing indication information indicates configuration of timing information, and the timing information is used for user equipment (UE) to determine a related operation of BWP switching according to a specified duration indicated by the timing information.

2 . The method according to claim 1 , further comprising:
determining the specified duration based on BWP switching information of at least one historical configuration period, wherein the BWP switching information comprises: a BWP to which the UE switches when BWP scheduling information arrives at the UE for at least one time.

3 . The method according to claim 2 , wherein the determining the specified duration based on the BWP switching information of at least one historical configuration period comprises:
determining the specified duration based on the BWP switching information and a deep learning model.

4 . The method according to claim 3 , wherein the determining the specified duration based on the BWP switching information and the deep learning model comprises:
determining a predefined duration based on the BWP switching information and a selection strategy; determining an evaluation index for the predefined duration based on the BWP switching information, the predefined duration, and an evaluation network of the deep learning model; and determining the specified duration based on the BWP switching information, the predefined duration, the evaluation index, and an action network of the deep learning model.

5 . The method according to claim 1 , wherein the determining the related operation of BWP switching according to the specified duration indicated by the timing information comprises one of:
switching to a second BWP in response to no predefined transmission occurring within the specified duration of using a first BWP, wherein a bandwidth of the second BWP is smaller than a bandwidth of the first BWP; or in response to the predefined transmission occurring within the specified duration of using the first BWP, using the first BWP indicated by the predefined transmission or a third BWP of a same type as the first BWP, and re-determining timing of the specified duration, wherein a bandwidth of the third BWP is greater than the bandwidth of the second BWP.

6 . The method according to claim 1 , wherein the sending the timing indication information comprises one of:
sending downlink control information (DCI) carrying the timing indication information; or sending radio resource control (RRC) signaling carrying the timing indication information.

7 . A bandwidth part (BWP) switching method, performed by user equipment (UE), comprising:
receiving timing indication information; configuring timing information based on the timing indication information; and determining a related operation of BWP switching based on a specified duration indicated by the timing information.

8 . The method according to claim 7 , wherein the determining the related operation of BWP switching based on the specified duration indicated by the timing information comprises one of:
based on the timing information, switching to a second BWP in response to determining no predefined transmission occurs within the specified duration of using a first BWP, wherein a bandwidth of the second BWP is smaller than a bandwidth of the first BWP; or based on the timing information, in response to determining the predefined transmission occurs within the specified duration of using the first BWP, using the first BWP indicated by the predefined transmission or a third BWP of a same type as the first BWP, and re-determining timing of the specified duration, wherein a bandwidth of the third BWP is greater than the bandwidth of the second BWP.

9 . The method according to claim 7 , wherein the receiving the timing indication information comprises one of:
receiving downlink control information (DCI) carrying the timing indication information; or receiving (RRC) signaling carrying the timing indication information.

10 .- 13 . (canceled)

14 . A base station, comprising:
a processor; and a memory storing instructions executable by the processor, wherein the processor is configured to: send timing indication information, wherein the timing indication information indicates configuration of timing information, and the timing information is used for user equipment (UE) to determine a related operation of BWP switching according to a specified duration indicated by the timing information.

15 . The base station according to claim 14 , wherein the processor is further configured to:
determine the specified duration based on BWP switching information of at least one historical configuration period, wherein the BWP switching information comprises: a BWP to which the UE switches when BWP scheduling information arrives at the UE for at least one time.

16 . The base station according to claim 15 , wherein the processor is further configured to:
determine the specified duration based on the BWP switching information and a deep learning model.

17 . The base station according to claim 16 , wherein the processor is further configured to:
determine a predefined duration based on the BWP switching information and a selection strategy; determine an evaluation index for the predefined duration based on the BWP switching information, the predefined duration, and an evaluation network of the deep learning model; and determine the specified duration based on the BWP switching information, the predefined duration, the evaluation index, and an action network of the deep learning model.

18 . The base station according to claim 14 , wherein the processor is further configured to:
switch to a second BWP in response to no predefined transmission occurring within the specified duration of using a first BWP, wherein a bandwidth of the second BWP is smaller than a bandwidth of the first BWP; or in response to the predefined transmission occurring within the specified duration of using the first BWP, use the first BWP indicated by the predefined transmission or a third BWP of a same type as the first BWP, and re-determine timing of the specified duration, wherein a bandwidth of the third BWP is greater than the bandwidth of the second BWP.

19 . The base station according to claim 14 , wherein the processor is further configured to:
send downlink control information (DCI) carrying the timing indication information; or send radio resource control (RRC) signaling carrying the timing indication information.

20 . A user equipment (UE), comprising:
a processor; and a memory storing instructions executable by the processor, wherein the processor is configured to perform the BWP switching method according to claim 7 .

21 . A non-transitory computer storage medium storing a computer-executable program that, when executed by a processor, causes the processor to perform the BWP switching method according to claim 1 .

22 . A non-transitory computer storage medium storing a computer-executable program that, when executed by a processor, causes the processor to perform the BWP switching method according to claim 7 .

Assignees

• Beijing Xiaomi Mobile Software Co Ltd

Inventors

• Mu Qin
• Hong Wei
• Zhao Zhongyuan
• Wang Yuzhu
• Wang Jingyi

Classifications

• G06N3/045

  Combinations of networks · CPC title

• G06N3/08

  Learning methods · CPC title

• G06N20/00

  Machine learning · CPC title

• H04L5/001

  the frequencies being arranged in component carriers · CPC title

• H04L5/0098

  Signalling of the activation or deactivation of component carriers, subcarriers or frequency bands · CPC title