电讯技术2017，Vol.57Issue(8)：855-860,6.DOI:10.3969/j.issn.1001-893x.2017.08.001
认知网络中的能量回收技术:性能分析及优化设计
Energy Harvesting in Cognitive Radio Networks:Performance Analysis and Optimization
摘要
Abstract
The limited energy and spectrum resources in wireless networks constrain the further enhance-ment of network capacity. Therefore, considering the application of energy harvesting technique in cogni-tive radio networks, it is necessary to analyze and optimize the harvested energy and achievable throughput of cognitive users. In the proposed system, the secondary user ( SU) , which has no authorization to access the spectrum when the primary user ( PU) is active, can harvest and store the radio frequency energy from PU's signal. Meanwhile, the harvested energy can be used to assist SU's information transmission when the spectrum is idle. Instead of traditional queuing theory, Markov chain model is used to analyze states transi-tion process of SU and quantify the steady state probabilities, and it is found hat the active degree of PU can affect the throughput and harvested energy of the system. An optimal scheme is proposed to maximize the energy-efficiency and spectrum-efficiency by controlling the traffic density of the PU. Numerical re-sults proves the theoretical analysis.关键词
认知无线电网络/能量回收/频谱检测/马尔可夫过程Key words
cognitive radio network/energy harvesting/spectrum sensing/Markov process分类
信息技术与安全科学引用本文复制引用
姚瑶,许丁杰,易星辉..认知网络中的能量回收技术:性能分析及优化设计[J].电讯技术,2017,57(8):855-860,6.基金项目
国家高技术研究发展计划(863计划)项目(2014AA01A704) （863计划）
