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Optimal energy-efficient power control for cognitive radio based on static and dynamic features of primary users

Optimal energy-efficient power control for cognitive radio based on static and dynamic features of primary users
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摘要 In this paper, the energy-efficient power control problem in cognitive radio (CR) networks is studied not only to provide energy-efficient transmission, but also to guarantee the normal operation of primary users (PUs). Moreover, the static energy-efficient power control (SEPC) algorithm is proposed in static scenario to maximize the capacity of secondary users (SUs) and to reduce the power consumption according to the interference from PU to SU. Furthermore, based on the analysis of PU's dynamic feature with Markov chain and SEPC algorithm,the dynamic energy-efficient power control (DEPC) algorithm is proposed taking into account the probability of detection and false alarm caused by sensing errors. Extensive simulation results show that the performance of the proposed algorithms is significantly improved compared with the existing algorithm.
出处 《High Technology Letters》 EI CAS 2011年第4期350-353,共4页 高技术通讯(英文版)
基金 the National Natural Science Foundation of China,Beijing Municipal Natural Science Foundation,the Key Project of Ministry of Industry and Information Technology,the National Youth Science Foundation
关键词 cognitive radio(CR) power control ENERGY-EFFICIENT MARKOV false alarm 功率控制算法 动态特性分析 认知无线电 高效节能 用户 静态 山西省电力公司 马尔可夫链
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参考文献9

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