Multiple-antenna-aided OFDM employing genectic-algorithm-assisted minimum bit error rate multiuser detection

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Description/Abstract

The family of minimum bit error rate (MBER) multiuser detectors (MUD) is capable of outperforming the classic minimum mean-squared error (MMSE) MUD in terms of the achievable bit-error rate (BER) owing to directly minimizing the BER cost function. In this paper,wewill invoke genetic algorithms (GAs) for finding the optimum weight vectors of the MBER MUD in the context of multiple-antenna-aided multiuser orthogonal frequency division multiplexing (OFDM) .We will also show that the MBER MUD is capable of supporting more users than the number of receiver antennas available, while outperforming the MMSE MUD. Index Terms—Algorithm, genetic, minimum bit error rate, multiuser detector, orthogonal frequency division multiplexing (OFDM), space division multiple-access (SDMA).