Invention Grant
- Patent Title: Machine learning based nonlinearity mitigation using peak reduction tones
-
Application No.: US17384411Application Date: 2021-07-23
-
Publication No.: US12047216B2Publication Date: 2024-07-23
- Inventor: June Namgoong , Taesang Yoo , Naga Bhushan , Krishna Kiran Mukkavilli , 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, PLLC
- Main IPC: H04L27/26
- IPC: H04L27/26 ; G06N3/08

Abstract:
Various embodiments include methods for demodulating wireless transmission waveforms to reconstruct data tones, performed in receiver circuitry of a wireless communication device. The methods may include receiving time domain wireless transmission waveforms that include time domain peak reduction tones (PRTs) that were generated by a set of PRT neural networks using time domain data signals derived from frequency domain data tones in another wireless communication device, reconstructing the time domain data signals from the time domain wireless transmission waveforms using a receiver neural network that has been trained in conjunction with the set of PRT neural networks to generate a time domain reconstruction of data signals, and transforming the time domain reconstruction of data signals to a frequency domain reconstruction of data tones.
Public/Granted literature
- US20220070040A1 Machine Learning Based Nonlinearity Mitigation Using Peak Reduction Tones Public/Granted day:2022-03-03
Information query