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Memetic Differential Evolution Assisted Minimum Bit Error Rate Detector for Multi-User MIMO System

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Executive Summary

Differential Evolution (DE) is a novel but powerful optimizer. It has been proved that the DE is superior to Genetic Algorithm (GA) in many real life applications. This paper proposed a memetic Differential Evolution assisted Minimum Bit Error Rate (MBER) linear detector for Multiple-Input and Multiple-Output (MIMO) multi-user system. Compared with GA based MBER and other linear MIMO detectors such as Minimum Mean Square Error (MMSE) and Zero Forcing (ZF) detectors, the proposed scheme shows a better performance in terms of the bit error rate.

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