Joint Optimal Energy-Efficient Cooperative Spectrum Sensing and Transmission in Cognitive Radio

作     者：Weizhi Zhong Kunqi Chen Xin Liu 

作者机构：College of Astronautics Nanjing University of Aeronautics and Astronautics School of Information and Communication Engineering Dalian University of Technology 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2017年第14卷第1期

页      面：98-110页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0839[工学-网络空间安全] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the National Natural Science Foundations of China under Grant Nos. 61301105, 61401288 and 61601221 the Natural Science Foundations of Jiangsu Province under Grant No. BK20140828 the China Postdoctoral Science Foundations under Grant Nos. 2015M581791 and 2015M580425 the Fundamental Research Funds for the Central Universities under Grant No. DUT16RC(3)045 

主　　题：cognitive radio energy efficiency cooperative spectrum sensing throughput 

摘      要：In order to improve the energy efficiency(EE) in cognitive radio(CR), a joint optimal energy-efficient cooperative spectrum sensing(CSS) and transmission in multi-channel CR is proposed in this paper. EE is described as a tradeoff between the throughput and the entirely consumed power. A joint optimization problem is formulated to maximize EE by jointly optimizing local sensing time, number of cooperative sensing secondary users(SU), transmission bandwidth and power. A combined optimization algorithm of bi-level optimization, Polyblock optimization and Dinkelbach s optimization is proposed to solve the proposed non-convex optimization problem effectively. The simulation results show that, compared with throughput maximization model(TMM), the energy efficiency maximization model(EEMM) improves EE of the CR system and limits the excessive power consumption effectively.