A compact neural-network-based CDMA receiver

Abstract

A compact neural-network receiver for code-division multiple-access (CDMA) communication is presented. In the CDMA scheme, the near-far problem is a major impediment for the performance of a conventional detector (CD). By using a compact neural network with hardware annealing function and gradient-descent optimization technique, an optimal multiuser receiver can be implemented. The algorithm and simulation results of the compact neural-network-based CDMA receiver are described.