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