中国物理B ›› 2015, Vol. 24 ›› Issue (12): 128401-128401.doi: 10.1088/1674-1056/24/12/128401
• INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY • 上一篇 下一篇
李赞, 刘伯阳, 司江勃, 周福辉
Li Zan (李赞), Liu Bo-Yang (刘伯阳), Si Jiang-Bo (司江勃), Zhou Fu-Hui (周福辉)
摘要: A cognitive radio (CR) network with energy harvesting (EH) is considered to improve both spectrum efficiency and energy efficiency. A hidden Markov model (HMM) is used to characterize the imperfect spectrum sensing process. In order to maximize the whole satisfaction degree (WSD) of the cognitive radio network, a tradeoff between the average throughput of the secondary user (SU) and the interference to the primary user (PU) is analyzed. We formulate the satisfaction degree optimization problem as a mixed integer nonlinear programming (MINLP) problem. The satisfaction degree optimization problem is solved by using differential evolution (DE) algorithm. The proposed optimization problem allows the network to adaptively achieve the optimal solution based on its required quality of service (Qos). Numerical results are given to verify our analysis.
中图分类号: (Telecommunications: signal transmission and processing; communication satellites)