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Backscatter-Assisted Relaying in Wireless Powered Communications Network

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Abstract

This paper studies a novel cooperation method in a two-user wireless powered communication network (WPCN), in which one hybrid access point (HAP) broadcasts wireless energy to two distributed wireless devices (WDs), while the WDs use the harvested energy to transmit their independent information to the HAP. To tackle the user unfairness problem caused by the near-far effect in WPCN, we allow the WD with the stronger WD-to-HAP channel to use part of its harvested energy to help relay the other weaker user’s information to the HAP. In particular, we exploit the use of backscatter communication during the wireless energy transfer phase such that the helping relay user can harvest energy and receive the information from the weaker user simultaneously. We derive the maximum common throughput performance by jointly optimizing the time duration and power allocations on wireless energy and information transmissions. Our simulation results demonstrate that the backscatter-assisted cooperation scheme can effectively improve the throughput fairness performance in WPCNs.

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Acknowledgement

The work of S. Bi was supported in part by the National Natural Science Foundation of China under Project 61501303, the Foundation of Shenzhen City under Project JCYJ20160307153818306 and JCYJ20170818101824392, the Science and Technology Innovation Commission of Shenzhen under Project 827/000212, and the Department of Education of Guangdong Province under Project 2017KTSCX163. The work of X. H. Lin was supported by research Grant from Guangdong Natural Science Foundation under the Project number 2015A030313552. X. H. Lin is the corresponding author of this paper.

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Correspondence to Yuan Zheng .

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

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Zheng, Y., Bi, S., Lin, X. (2018). Backscatter-Assisted Relaying in Wireless Powered Communications Network. In: Meng, L., Zhang, Y. (eds) Machine Learning and Intelligent Communications. MLICOM 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 251. Springer, Cham. https://doi.org/10.1007/978-3-030-00557-3_28

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  • DOI: https://doi.org/10.1007/978-3-030-00557-3_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00556-6

  • Online ISBN: 978-3-030-00557-3

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