Neural Augmentation For Device Nonlinearity Mitigation In X-Node Machine Learning

A transmitter wireless communication device, comprising:

• a processing device configured with processor-executable instructions to perform operations comprising:
• 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, wherein 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.

A wireless computing device, comprising:

• means for receiving frequency domain data tones;
• means for transforming the frequency domain data tones to time domain data signals;
• means for generating, using a set of peak reduction tone (PRT) neural networks, time domain PRTs using the time domain data signals, wherein the set of PRT neural networks have been trained in conjunction with an augmentation neural network and a receiver neural network;
• means for 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
• means for generating time domain wireless transmission waveforms that include the output of the augmentation neural network combined with the final combined time domain signals.

A non-transitory, processor-readable medium having stored thereon processor-executable instructions configured to cause a processor of a wireless computing device to perform operations comprising:

• 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, wherein 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.