Apparatus and method for generating symbols using a neural network based symbol generator in a wireless communications system

A processor for wireless communication, comprising:

• at least one controller coupled with at least one memory and configured to cause the processor to:
• receive a plurality of input bits of a codeword or encode a plurality of information bits corresponding to a transport block with a forward error correction code to generate the plurality of input bits of the codeword, wherein a quantity of the plurality of input bits is a multiple of a characteristic parameter of a neural network-based symbol generator;
• generate a plurality of symbols based on the plurality of input bits and the neural network-based symbol generator, wherein a first symbol of the plurality of symbols is based on a first subset of the plurality of input bits, the first subset comprising a first quantity of bits that is larger than the characteristic parameter of the neural network-based symbol generator, and wherein a second symbol of the plurality of symbols is based on a second subset of the plurality of input bits, and wherein at least a portion of the first subset and the second subset are the same;
• and
• transmit, to a second node, a mapping of the plurality of symbols based on a transmission scheme.

A method performed by a first node, the method comprising:

• receiving a plurality of input bits of a codeword or encoding a plurality of information bits corresponding to a transport block with a forward error correction code to generate the plurality of input bits of the codeword, wherein a quantity of the plurality of input bits is a multiple of a characteristic parameter of a neural network-based symbol generator;
• generating a plurality of symbols based on the plurality of input bits and the neural network-based symbol generator, wherein a first symbol of the plurality of symbols is based on a first subset of the plurality of input bits, the first subset comprising a first quantity of bits that is larger than the characteristic parameter of the neural network-based symbol generator, and wherein a second symbol of the plurality of symbols is based on a second subset of the plurality of input bits, and wherein at least a portion of the first subset and the second subset are the same;
• and
• transmitting, to a second node, a mapping of the plurality of symbols based on a transmission scheme.

A second node, comprising:

• at least one memory;
• and
• at least one processor coupled with the at least one memory and configured to cause the second node to:
• receive a plurality of symbols associated with a plurality of time-frequency resources for a plurality of receiving antennas;
• select a subset of the plurality of symbols for each antenna of the plurality of receiving antennas and generating a plurality of input streams for the plurality of receiving antennas based on the selected subset of the plurality of symbols;
• and
• generate a plurality of output-data estimations based on the plurality of input streams and a neural network-based bit-estimation-generator.