Invention Grant
- Patent Title: Machine learning based receiver performance improvement using peak reduction tones
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Application No.: US17154215Application Date: 2021-01-21
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Publication No.: US11804998B2Publication Date: 2023-10-31
- Inventor: June Namgoong , Krishna Kiran Mukkavilli , Taesang Yoo , Naga Bhushan , Tingfang Ji , Pavan Kumar Vitthaladevuni , Jay Kumar Sundararajan
- Applicant: QUALCOMM Incorporated
- Applicant Address: US CA San Diego
- Assignee: QUALCOMM Incorporated
- Current Assignee: QUALCOMM Incorporated
- Current Assignee Address: US CA San Diego
- Agency: The Marbury Law Group
- Main IPC: H04L27/26
- IPC: H04L27/26 ; H04B3/23 ; H04B3/06 ; G06N3/08 ; H04B3/46 ; G06N3/088 ; H04L5/00 ; H04W72/04 ; G06F18/214 ; G06N3/045

Abstract:
Various embodiments include methods performed in receiver circuitry of a wireless communication device for demodulating wireless transmission waveforms to reconstruct data tones, which may include receiving, from a transmitter, wireless transmission waveforms that includes peak reduction tones (PRTs) that were inserted by a PRT neural network in the transmitter, and demodulating the received wireless transmission waveforms using a decoder neural network that has been trained based on outputs of the transmitter to output a reconstruction of the data tones. Further embodiments include exchanging information between the transmitter and receiver circuitry to coordinate the PRT neural network used for inserting PRTs in the transmitting wireless communication device and the decoder neural network used in the receiving wireless communication device for demodulating transmission waveforms received from the transmitting wireless communication device.
Public/Granted literature
- US20210266036A1 Machine Learning Based Receiver Performance Improvement Using Peak Reduction Tones Public/Granted day:2021-08-26
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