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Spectrum Access Based on Energy Harvesting with Optimal Power Allocation

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Communications and Networking (ChinaCom 2016)

Abstract

In this paper, we propose a spectrum access method based on energy harvesting with optimal power allocation. Specifically, in the first phase, the primary user broadcasts its signal. The cognitive user receives the primary signal, and splits the power into two parts, one is to decode information, another is to harvest energy. In the second phase, the cognitive user forwards the primary signal by using the power harvested in the first phase, whlich assists the primary user to achieve the target rate. The cognitive user can access the primary spectrum to transmit its own signal by using its own power as a reward. We study the optimal power allocation to maximize the cognitive achievable rate, meanwhile the target rate of the primary user is achieved. Simulation results indicate that the proposed method can improve the performances of both the primary and cognitive users.

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Acknowledgments

This work was supported by China National Science Foundation under Grant Nos. 61402416 and 61303235, Natural Science Foundation of Zhejiang Province under Grant Nos. LQ14F010003 and LQ14F020005, NSFC-Zhejiang Joint Fund for the Integration of Industrialization of Jiangsu Province under Grant No. BK20140828, the Fundamental Research Funds for the Central Universities under Grant No. DUT16RC(3)045 and the Scientific Foundation for the Returned Overseas Chinese Scholars of State Education Ministry.

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Correspondence to Weidang Lu .

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Wu, J., Lu, W., Peng, H., Liu, X. (2018). Spectrum Access Based on Energy Harvesting with Optimal Power Allocation. In: Chen, Q., Meng, W., Zhao, L. (eds) Communications and Networking. ChinaCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 210. Springer, Cham. https://doi.org/10.1007/978-3-319-66628-0_52

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  • DOI: https://doi.org/10.1007/978-3-319-66628-0_52

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66627-3

  • Online ISBN: 978-3-319-66628-0

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