一种基于免疫克隆选择算法的多用户检测器

Yonggang Wang, Zhu Feng, L. Jiao
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引用次数: 2

摘要

研究了免疫克隆选择算法(ICSA)和基于ICSA的多用户检测。与进化算法类似,ICSA是一种基于二进制代码表示的全局最优解的有效工具。它比进化算法显示出更好的解决优化问题的潜在能力。提出了两种新型多用户检测器,即基本ICSA多用户检测器和混合ICSA多用户多级检测器(ICSA- msd - mud)。对于ICSA-MSD- mud, MSD被认为是ICSA算法中的一个操作符。利用ICSA实现全局搜索,利用MSD实现局部搜索,混合检测器可以达到优异的性能。仿真结果表明了所提出的多用户检测器的可行性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel multiuser detector based on immune clone selection algorithm
Immune clone selection algorithm (ICSA) and the multi-user detection based on ICSA are studied. Similar to evolutionary algorithms, ICSA is an efficient tool in searching for the global optimum based on the representation of solutions as binary code. It shows better potential capability to solve the optimization problem than evolution algorithm. Two novel multi-user detectors are presented which are basic ICSA multi-user detector and hybrid ICSA multi-user detector with multi-stage detector (ICSA-MSD-MUD). For ICSA-MSD-MUD, the MSD is considered as an operator inside the ICSA algorithm. The hybrid detector can reach excellent performance by utilizing ICSA to implement global search and by utilizing MSD to implement local search. The results of simulation show the feasibility and validity of the presented multi-user detectors.
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