Simultaneous cooperative spectrum sensing and wireless power transfer in multi-antenna cognitive radio

被引:7
作者
Song, Zhiqun [1 ,2 ]
Zhang, Zhongzhao [1 ]
Liu, Xin [3 ]
Liu, Yutao [2 ]
Fan, Lisheng [4 ]
机构
[1] Harbin Inst Technol, Sch Elect & Informat Engn, Harbin 150080, Heilongjiang, Peoples R China
[2] 54th Res Inst CECT, Shijiazhuang 050081, Hebei, Peoples R China
[3] Dalian Univ Technol, Sch Informat & Commun Engn, Dalian 116024, Peoples R China
[4] Guangzhou Univ, Sch Comp Sci & Educ Software, Guangzhou 510006, Guangdong, Peoples R China
关键词
Multi-antenna cognitive radio; Cooperative spectrum sensing; Wireless power transfer; Energy harvesting; Spectrum efficiency; INTERFERENCE ALIGNMENT NETWORKS; RADIATIVE THERMAL-PROPERTIES; CORRELATED FADING CHANNELS; FIBROUS INSULATIONS; TRANSMISSION; OPTIMIZATION; PREDICTION; MIMO;
D O I
10.1016/j.phycom.2018.04.022
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In multi-antenna cognitive radio (CR), the sensing performance of detecting the presence of primary user (PU) in fading channel can be improved through multi-antenna cooperative spectrum sensing. However, the CR may consume more stored energy due to the cooperative spectrum sensing and thus decrease its transmission performance. In this paper, to guarantee the transmission performance, a simultaneous cooperative spectrum sensing and wireless power transfer (SCSSWPT) scheme has been proposed, which can harvest the radio frequency (RF) energy of the PU signal to supply the consumed energy of spectrum sensing. Time splitting model, power splitting and antenna splitting model are proposed to implement cooperative spectrum sensing, energy harvesting and data transmission simultaneously. Three optimization problems have been formulated to maximize spectrum efficiency of the CR in the three SCSSWPT models, respectively, subject to the constraints of detection probability and harvested energy. The simulation results have shown that there is an optimal number of sensing antennas to maximize the spectrum efficiency of the CR, and the time splitting model can achieve higher spectrum efficiency. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:78 / 85
页数:8
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