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Simultaneous Cooperative Spectrum Sensing and Energy Harvesting in Multi-antenna Cognitive Radio

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Abstract

In cognitive radio (CR), the secondary user (SU) may use more battery energy to perform spectrum sensing, thus decreasing the transmission energy. In order to guarantee the transmission performance, an energy harvesting-based multi-antenna CR is proposed, which lets the SU harvest the radio frequency (RF) energy of the PU signal and the noise to supplement the energy loss. Time splitting model and antenna splitting model have been proposed to realize the simultaneous cooperative spectrum sensing and energy harvesting for multi-antenna CR, in which cooperative spectrum sensing, energy harvesting and data transmission can be performed in one SU. The joint resource allocations of these two models have been formulated as a class of optimization problems about sensing time, harvesting time, the number of sensing antennas and transmission power. The joint optimization algorithm has been proposed to obtain the optimal solutions to the optimization problems. The simulation results have indicated that the proposed models can achieve larger throughput compared with the sensing-throughput tradeoff model.

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Acknowledgements

This work was supported by the National Natural Science Foundations of China under Grant Nos. 61601221, 61402416 and 61371100, the Natural Science Foundations of Jiangsu Province under Grant No. BK20140828, the China Postdoctoral Science Foundations under Grant No. 2015M580425, and the Fundamental Research Funds for the Central Universities under Grant No. DUT16RC(3)045.

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Authors and Affiliations

  1. School of Information and Communication Engineering, Dalian University of Technology, Dalian, 116024, China

    Xin Liu

  2. School of Information and Electrical Engineering, Harbin Institute of Technology (Weihai), Weihai, 264209, China

    Bo Li & Gongliang Liu

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  1. Xin Liu
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  2. Bo Li
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  3. Gongliang Liu
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Correspondence to Xin Liu.

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Liu, X., Li, B. & Liu, G. Simultaneous Cooperative Spectrum Sensing and Energy Harvesting in Multi-antenna Cognitive Radio. Mobile Netw Appl 23, 263–271 (2018). https://doi.org/10.1007/s11036-017-0946-2

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