Performance optimization for energy harvesting cognitive cooperative networks with imperfect spectrum sensing

被引:2
|
作者
Wang, Yao [1 ]
Zhao, Xiaohui [1 ]
Liang, Hui [1 ]
机构
[1] Jilin Univ, Coll Commun Engn, Changchun, Jilin, Peoples R China
基金
中国国家自然科学基金;
关键词
Cognitive cooperative network; Performance optimization; Imperfect spectrum sensing; Scheduling probability; RF energy harvesting; RADIO NETWORKS; STABILITY ANALYSIS; STABLE THROUGHPUT; WIRELESS NETWORKS; ACCESS;
D O I
10.1007/s11276-018-1754-8
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, considering imperfect spectrum sensing in a cognitive cooperative system, we study the performance optimization for throughput maximization of secondary user (SU) and average delay minimization under maximum delay constraint of primary user (PU) with harvested energy from radio frequency signal of active PU by cooperative SU. We use a one-dimension linear search method to decompose the two optimization problems due to the non-convexity of the original optimization. We prove that the above maximization and minimization have same forms of solution under the same constraints. Simulation results indicate that the throughput performance of SU is higher than that of traditional cognitive system.
引用
收藏
页码:4611 / 4623
页数:13
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