Invention Grant
- Patent Title: Wireless uplink (UL) bandwidth enhancement with machine learning for compression estimate
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Application No.: US17568368Application Date: 2022-01-04
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Publication No.: US12028742B2Publication Date: 2024-07-02
- Inventor: Vijay Kumar Bolleni , Rajashekar Chilla , Prachi Agrawal , Prasad Gadde
- Applicant: QUALCOMM Incorporated
- Applicant Address: US CA San Diego
- Assignee: QUALCOMM Incorporated
- Current Assignee: QUALCOMM Incorporated
- Current Assignee Address: US CA San Diego
- Agency: QUALCOMM Incorporated
- Main IPC: H04W28/02
- IPC: H04W28/02 ; G06N20/00

Abstract:
A method of wireless communication by a user equipment (UE) includes determining an original amount of uplink data stored in a non-compression buffer, the original amount of data designated to be transmitted to a network. The method also includes predicting, with a machine learning model, an amount of compression gain for the original amount of uplink data. The compression gain is obtained by compressing the original amount of uplink data during a time delay. The method further includes generating a buffer status report based on the original amount of uplink data and the predicted amount of compression gain. The method transmits the buffer status report to the network.
Public/Granted literature
- US20230217302A1 WIRELESS UPLINK (UL) BANDWIDTH ENHANCEMENT WITH MACHINE LEARNING FOR COMPRESSION ESTIMATE Public/Granted day:2023-07-06
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