- 专利标题： Machine learning based uplink coverage enhancement using peak reduction tones
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申请号： US17154607申请日： 2021-01-21
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公开(公告)号： US11677605B2公开(公告)日： 2023-06-13
- 发明人: June Namgoong , Krishna Kiran Mukkavilli , Taesang Yoo , Naga Bhushan , Tingfang Ji , Jay Kumar Sundararajan , Pavan Kumar Vitthaladevuni
- 申请人： QUALCOMM Incorporated
- 申请人地址： US CA San Diego
- 专利权人： QUALCOMM Incorporated
- 当前专利权人： QUALCOMM Incorporated
- 当前专利权人地址： US CA San Diego
- 代理机构： Patterson + Sheridan, L.L.P.
- 主分类号： H04L27/26
- IPC分类号： H04L27/26 ; H04B3/23 ; G06N3/08 ; G06N3/088 ; H04L5/00 ; H04W72/04 ; G06F18/214 ; H04B3/06 ; H04B3/46 ; G06N3/045
摘要：
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.
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