Optimization of OFDM systems resources using multi-objective Estimation Distribution Algorithms

R. Annauth, H. Rughooputh
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引用次数: 1

Abstract

OFDM has been recognized as a promising technique for providing high spectral efficiency in future wireless system. In this paper, a novel optimization technique, the Estimation Distribution Algorithm (EDA) is proposed for multi-objective optimization of OFDM systems resources. The performance and effectiveness of the optimizer are analyzed and compared with the state of art NSGA II and multi-objective particle swarm optimization algorithm.
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基于多目标估计分布算法的OFDM系统资源优化
在未来的无线系统中,OFDM被认为是一种很有前途的技术,可以提供较高的频谱效率。本文提出了一种新的优化技术——估计分布算法(EDA),用于OFDM系统资源的多目标优化。分析了优化器的性能和有效性,并与NSGA II和多目标粒子群优化算法进行了比较。
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