Invention Grant
- Patent Title: Neural augmentation for device nonlinearity mitigation in x-node machine learning
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Application No.: US17394928Application Date: 2021-08-05
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Publication No.: US11996968B2Publication Date: 2024-05-28
- Inventor: June Namgoong , Taesang Yoo , Naga Bhushan , Krishna Kiran Mukkavilli , Tingfang Ji , Hwan Joon Kwon , 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: QUALCOMM Incorporated
- Main IPC: H04L27/26
- IPC: H04L27/26 ; G06N3/045

Abstract:
Various embodiments include methods for reducing peak to average power ratio of wireless transmission waveforms, performed in transmitter circuitry of a wireless communication. Various embodiments may include receiving frequency domain data tones, transforming the frequency domain data tones to time domain data signals, generating, using a set of peak reduction tone (PRT) neural networks, time domain PRTs using the time domain data signals in which the set of PRT neural networks have been trained in conjunction with an augmentation neural network, and a receiver neural network, generating an output of the augmentation neural network based on an input of final combined time domain signals including the time domain PRTs combined with previous combined time domain signals, and generating time domain wireless transmission waveforms that include the output of the augmentation neural network combined with the final combined time domain signals.
Public/Granted literature
- US20220070041A1 Neural Augmentation For Device Nonlinearity Mitigation In X-Node Machine Learning Public/Granted day:2022-03-03
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