Method and apparatus to decode packets to compute log likelihood ratio in wireless network

An apparatus for decoding user data in a wireless network, the apparatus comprising:

• memory;
• and
• at least one processor coupled with the memory,
• wherein the memory store one or more computer programs including computer-executable instructions that, when executed by the at least one processor, cause the apparatus to:
• segregate in-phase data and quadrature data (IQ data) streams based on quadrature amplitude modulation (QAM) scheme of each of the IQ data streams,
• determine a channel condition associated with each of the QAM schemes of the segregated IQ data streams,
• receive the user data associated with a plurality of network parameters, based on the segregated IQ data streams and the determined channel conditions,
• train a neural network using the plurality of network parameters,
• compute a log likelihood ratio (LLR) using the trained neural network,
• transfer the computed LLR to a physical layer, and
• decode the received user data using the computed LLR.