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Reduced-complexity near-optimum genetic algorithm assisted multiuser detection for synchronous multicarrier CDMA

机译:降低复杂度的近最优遗传算法辅助同步多载波CDMA的多用户检测

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摘要

A genetic algorithm (GA) assisted multiuser detector (MUD) designed for MC-CDMA is investigated in the context of frequency selective Rayleigh fading channels. The achievable BER performance of the GA assisted MUD as well as its near-far resistance are investigated for a range of parameter values. It is shown that the proposed GA assisted MUD is capable of significantly reducing the complexity in comparison to that of Verdu's (1998) optimum MUD. For example, when supporting K = 20 users. the number of likelihood function evaluations is reduced by a factor of 1300.
机译:在频率选择性瑞利衰落信道的背景下,研究了一种为MC-CDMA设计的遗传算法(GA)辅助多用户检测器(MUD)。针对一系列参数值,研究了GA辅助MUD可获得的BER性能及其远近抗性。结果表明,与Verdu(1998)的最佳MUD相比,GA辅助的MUD能够显着降低复杂性。例如,当支持K = 20个用户时。似然函数评估的次数减少了1300倍。

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