Machine Learning and Intelligent Communications. Third International Conference, MLICOM 2018, Hangzhou, China, July 6-8, 2018, Proceedings

Research Article

Reusing Wireless Power Transfer for Backscatter-Assisted Cooperation in WPCN

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  • @INPROCEEDINGS{10.1007/978-3-030-00557-3_24,
        author={Wanran Xu and Suzhi Bi and Xiaohui Lin and Juan Wang},
        title={Reusing Wireless Power Transfer for Backscatter-Assisted Cooperation in WPCN},
        proceedings={Machine Learning and Intelligent Communications. Third International Conference, MLICOM 2018, Hangzhou, China, July 6-8, 2018, Proceedings},
        proceedings_a={MLICOM},
        year={2018},
        month={10},
        keywords={},
        doi={10.1007/978-3-030-00557-3_24}
    }
    
  • Wanran Xu
    Suzhi Bi
    Xiaohui Lin
    Juan Wang
    Year: 2018
    Reusing Wireless Power Transfer for Backscatter-Assisted Cooperation in WPCN
    MLICOM
    Springer
    DOI: 10.1007/978-3-030-00557-3_24
Wanran Xu1,*, Suzhi Bi1,*, Xiaohui Lin1,*, Juan Wang1,*
  • 1: Shenzhen University
*Contact email: xuwanran2016@szu.edu.cn, bsz@szu.edu.cn, xhlin@szu.edu.cn, juanwang@szu.edu.cn

Abstract

This paper studies a novel user cooperation method in a wireless powered communication network (WPCN), where a pair of closely located devices first harvest wireless energy from an energy node (EN) and then use the harvested energy to transmit information to an access point (AP). In particular, we consider the two energy-harvesting users exchanging their messages and then transmitting cooperatively to the AP using space-time block codes. Interestingly, we exploit the short distance between the two users and allow the information exchange to be achieved by energy-conserving backscatter technique. Meanwhile the considered backscatter-assisted method can effectively reuse wireless power transfer for simultaneous information exchange during the energy harvesting phase. Specifically, we maximize the common throughput through optimizing the time allocation on energy and information transmission. Simulation results show that the proposed user cooperation scheme can effectively improve the throughput fairness compared to some representative benchmark methods.