US 11,804,998 B2 · Machine learning based receiver performance improvement using peak reduction tones

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.

Claims28

Dependent claims

A method performed in receiver circuitry of a wireless communication device for demodulating wireless transmission waveforms to reconstruct data tones, comprising:

receiving, from a transmitter, wireless transmission waveforms that include peak reduction tones (PRTs) that were generated by a PRT neural network in the transmitter;
and
demodulating the received wireless transmission waveforms using a receiver neural network that has been trained based on outputs of the transmitter to output a reconstruction of the data tones.

A receiver wireless communication device, comprising:

a processing device configured with processor-executable instructions to perform operations comprising:
receiving, from a transmitter, wireless transmission waveforms that include peak reduction tones (PRTs) that were generated by a PRT neural network in the transmitter;
and
demodulating the received wireless transmission waveforms using a receiver neural network that has been trained based on outputs of the transmitter to output a reconstruction of data tones.

1 more element

A transmitter wireless communication device, comprising:

a processing device configured with processor-executable instructions to perform operations comprising:
processing data tones through a peak reduction tone (PRT) neural network trained to generate PRTs that when combined with the data tones will result in a transmission waveform that will exhibit a peak-to-average power ratio (PAPR) within a PAPR limit threshold;
and
combining the data tones with PRTs output by the PRT neural network to output a transmission waveform for transmission to a receiving wireless communication device configured with a receiver neural network that has been trained based on outputs of transmitter circuitry to demodulate wireless transmission waveforms from the transmitter circuitry.

1 more element

Dependencies are inferred from the claim text.

Machine learning based receiver performance improvement using peak reduction tones

Life of this patent

Machine learning based receiver performance improvement using peak reduction tones

Life of this patent

Abstract

Claims28