Invention Grant
- Patent Title: Machine learning based uplink coverage enhancement using peak reduction tones
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Application No.: US17154607Application Date: 2021-01-21
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Publication No.: US11677605B2Publication Date: 2023-06-13
- Inventor: June Namgoong , Krishna Kiran Mukkavilli , Taesang Yoo , Naga Bhushan , Tingfang Ji , Jay Kumar Sundararajan , Pavan Kumar Vitthaladevuni
- Applicant: QUALCOMM Incorporated
- Applicant Address: US CA San Diego
- Assignee: QUALCOMM Incorporated
- Current Assignee: QUALCOMM Incorporated
- Current Assignee Address: US CA San Diego
- Agency: Patterson + Sheridan, L.L.P.
- Main IPC: H04L27/26
- IPC: H04L27/26 ; H04B3/23 ; G06N3/08 ; G06N3/088 ; H04L5/00 ; H04W72/04 ; G06F18/214 ; H04B3/06 ; H04B3/46 ; G06N3/045

Abstract:
Certain aspects of the present disclosure provide techniques for generating and decoding orthogonal frequency division (OFDM) waveforms with peak reduction tones (PRTs) designed to reduce PAPR. By generating PRT tones with a machine learning (e.g., neural network) based encoder and mapping some of the PRT tones to subcarriers used for physical channels or signals, PAPR may be reduced while efficiently using system resources.
Public/Granted literature
- US20210266210A1 MACHINE LEARNING BASED UPLINK COVERAGE ENHANCEMENT USING PEAK REDUCTION TONES Public/Granted day:2021-08-26
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