认知无线网络频谱协作感知能耗与吞吐量的凸优化研究  

Convex optimize the energy consumption and throughput of cooperative spectrum sensing in cognitive radio networks

作　　者：王朝岗[1] 蔡发书 刘银川[3] 

机构地区：[1]云南经济管理学院人文学院,云南昆明650106 [2]云南经济管理学院就业处,云南昆明650106 [3]中国科学院信息工程研究所,北京100093

出　　处：《重庆邮电大学学报（自然科学版）》2015年第4期506-513,共8页Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)

摘　　要：针对认知无线电(cognitive radio,CR)双门限频谱协作感知能量效率与吞吐量优化的问题,提出了利用凸优化理论使能量效率与网络吞吐量达到最优平衡。在能耗一定条件下推导吞吐量关于虚警率与检测率等参数的目标方程;然后,对虚警率和检测率作合理约束,利用凸优化理论对吞吐量方程分析,推导出最优化目标函数的服从条件在一定范围内,关于感知时间与较大门限值满足联合凸或分别凸,吞吐量目标函数的变形在一定范围内,关于感知时间与较大门限值满足联合凸或分别凸;最后,利用凸优化工具获得感知时间与感知门限的最优值。理论分析和仿真结果表明,在能耗一定条件下,对于较为广泛的信噪比区间,该优化方案均可明显提高网络吞吐量及双门限认知无线电频谱协作感知的能量效率。For current cooperative spectrum sensing algorithms in cognitive radio networks have the problems of tradeoff between achievable throughput and energy efficiency, this paper proposes an approach that realizes the good tradeoff between the two factors with convex optimization analysis. Firstly, with a predefined energy consumption value the object function of maximal network throughput about false alarm ratio and detection ratio etc parameters is derived; secondly, the practicable constraints to the false alarm and detection probabilities is set, then, the throughput object function is analyzed by convex optimal, the conclusion that the subject to conditions of the object function is jointly convex or separately convex about sens- ing time and the bigger threshold value is got, and another form of throughput object function is jointly convex or separately convex about sensing time and the bigger threshold value ; lastly, the optimal values of sensing time and detection thresholds by convex optimize tool is obtained. Simulation results show that the proposed approach establishes a good tradeoff between throughput and energy efficiency, and has better performance than the conventional sensing method in a wide region of signal-to-noise ratio.

关 键 词：认知无线电(CR) 协作频谱感知 凸优化 网络能耗 网络吞吐量 

分 类 号：TN929.5[电子电信—通信与信息系统] TP393[电子电信—信息与通信工程]