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The Genetic Algorithm in the Minimum Bit Error Rate Multi-User Detection Assisted Space Division Multiple Access System

机译:最小误码率多用户检测辅助空分多址系统中的遗传算法

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This is a recent research on Space Division Multiple Access-Orthogonal Frequency Division Multiplexing (SDMA-OFDM) based on the biological technique of Genetic Algorithm (GA) which is reminiscent of the rules of evolution and survival where a group of fitters' individuals in a population will survive more and more using in the wireless communication in the Multi-User Detection. The goal of this research is using Genetic Algorithm assisted by Minimum Bit Error Rate (MBER) comparatively of the Conjugate Graduate (CG) method to Multi-User Detection on OFDM due to the technique using the symbol chromosomes to obtain an initial Frequency Domain-Channel Transfer Function (FD-CHTF) assisted by Minimum Bit Error Rate that the GA is capable of approaching the MBER solution at a lower complexity than the CG algorithm and it can be achieved by the simulation results provided to demonstrate the improvement of Multi-User Detection using Genetic Algorithm assisted by Minimum Bit Error Rate.
机译:这是一项基于遗传算法(GA)生物学技术的空分多址-正交频分多路复用(SDMA-OFDM)的最新研究,令人联想到进化和生存规则,即一群钳工的个体在多用户检测中的无线通信中,人口将越来越多地生存下来。这项研究的目标是使用最小码元误码率(MBER)辅助的遗传算法,将共轭毕业生(CG)方法用于OFDM的多用户检测,这归因于使用符号染色体来获得初始频域信道的技术。借助最小误码率辅助的传递函数(FD-CHTF),GA能够以比CG算法更低的复杂度来接近MBER解决方案,并且可以通过提供的仿真结果来实现,以证明多用户检测的改进使用遗传算法并辅以最小误码率。

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