Learning and deployment of adaptive wireless communications

A method of transmitting and receiving information through a communication channel, the method comprising:

• determining an encoder and a decoder, at least one of which is configured to implement an encoding or decoding that is based on at least one of an encoder machine-learning network or a decoder machine-learning network that has been trained to encode or decode information over a communication channel;
• determining first information;
• using the encoder to process the first information and generate a first RF signal;
• transmitting, by at least one transmitter, the first RF signal through the communication channel;
• receiving, by at least one receiver, a second RF signal that represents the first RF signal altered by transmission through the communication channel;
• and
• using the decoder to process the second RF signal and generate second information as a reconstruction of the first information.

A system comprising:

• at least one processor;
• and
• at least one computer memory coupled to the at least one processor having stored thereon instructions which, when executed by the at least one processor, cause the at least one processor to perform operations comprising:
• determining first information;
• using an encoder machine-learning network to process the first information and generate a first RF signal for transmission through a communication channel;
• determining a second RF signal that represents the first RF signal having been altered by transmission through the communication channel;
• using a decoder machine-learning network to process the second RF signal and generate second information as a reconstruction of the first information;
• calculating a measure of distance between the second information and the first information;
• and
• updating at least one of the encoder machine-learning network or the decoder machine-learning network based on the measure of distance between the second information and the first information.

A system comprising:

• at least one processor;
• and
• at least one computer memory coupled to the at least one processor having stored thereon instructions which, when executed by the at least one processor, cause the at least one processor to perform operations comprising:
• determining an encoder and a decoder, at least one of which is configured to implement an encoding or decoding that is based on at least one of an encoder machine-learning network or a decoder machine-learning network that has been trained to encode or decode information over a communication channel;
• determining first information;
• using the encoder to process the first information and generate a first RF signal;
• transmitting, by at least one transmitter, the first RF signal through the communication channel;
• receiving, by at least one receiver, a second RF signal that represents the first RF signal altered by transmission through the communication channel;
• and
• using the decoder to process the second RF signal and generate second information as a reconstruction of the first information.