Patent ID: 11863258
Assignee: VIRGINIA TECH INTELLECTUAL PROPERTIES, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC H  G | IPC G  H

Claim 0:
1. A method performed by at least one processor to use at least one machine-learning network to communicate using multiple transmit antennas and multiple receive antennas over a multi-input-multi-output (MIMO) communication channel, the method comprising:
transmitting, by a transmitter using a plurality of transmit antennas of the multiple transmit antennas, a plurality of first radio frequency (RF) signals over the MIMO communication channel to at least one receiver, the plurality of first RF signals comprising first information;
receiving, at the transmitter and from the at least one receiver, a plurality of second RF signals comprising feedback information, the feedback information representing reception of the plurality of first RF signals by the receiver over the MIMO communication channel using one or more receive antennas of the multiple receive antennas;
determining, using the at least one machine learning network based at least on the feedback information, channel state information (CSI) corresponding to the MIMO communication channel;
updating the at least one machine-learning network based on the determined CSI corresponding to the MIMO communication channel; and
determining, using the updated at least one machine learning network, one or more constellations corresponding to the multiple transmit antennas for transmission of RF signals to the at least one receiver over the MIMO communication channel.