Application of a Machine Learning Model to the realization of a wireless communication system

This paper presents the author's proposal for a neural detector realization of a Massive-MIMO-OFDM system using extended Hopfield neural circuits. An important feature of such an implementation is that the system can be learned without the need to solve multi-parameter optimization tasks requiring high computational power.