Cooperative spectrum sensing optimization algorithm based on maximum energy efficiency

被引：0

作者：

Tang, Jingmin ^{[1
]}

Cao, Cao ^{[1
]}

Zhang, Xiaoying ^{[1
]}

Ma, Shefang ^{[1
]}

机构：

[1] Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China

来源：

Journal of Information and Computational Science | 2015年 / 12卷 / 16期

关键词：

Achievable performance - Analysis and simulation - Bisection algorithms - Co-operative spectrum sensing - Collaborative spectrum sensing - Maximize throughput - Optimization algorithms - System throughput;

D O I：

10.12733/jics20106887

中图分类号：

学科分类号：

摘要：

This paper investigates the effects of Cooperative Spectrum Sensing (CSS) on energy consumption and achievable performance to maximize the energy of the system efficiency by studying the existing cooperative spectrum sensing method, and proposes the optimization algorithm that optimizing the number of sensing users to get the method for maximizing system throughput and minimizing energy consumption. Then, the paper presents an iterative bisection algorithm for maximizing energy efficiency. Theoretical analysis and simulation results show that using this method to select a number of cognitive users to participate in collaborative spectrum sensing can improve the performance of the system, maximize throughput, at the same time, minimize the energy consumption, as a result, it maximizes the energy efficiency of the system. © 2015 by Binary Information Press

引用

页码：6121 / 6130

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