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Energy Efficiency Optimization for RF Energy Harvesting Relay System

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Broadband Communications, Networks, and Systems (BROADNETS 2020)

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Abstract

This paper conducts research on the RF energy harvesting relay network, and proposes an improved energy harvesting relay protocol, which allows the energy harvesting source node to retransmit data to improve the system diversity gain, and constructs energy harvesting slot allocation, subcarrier pairing, and power Optimized model of distributed system energy efficiency. A resource allocation algorithm based on optimal energy efficiency is further proposed. The Dinkelbach method is used to transform the nonlinear programming problem into a linear programming problem. Then, the Hungarian algorithm and the sub-gradient method are used to obtain the iterative algorithm based on energy efficiency optimization. Simulation shows that the algorithm reduces the complexity of the algorithm and has good global convergence.

This research has been supported by the National Natural Science Foundation of China (No. 61802155), the High-level Introduction of Talent Scientific Research Start-up Fund of Jiangsu Police Institute (JSPI19GKZL407) and the General Research Project of Anhui Higher Education Promotion Plan (Grant TSKJ2015B18, KZ00215021, KZ00215022), Innovation project for postgraduates of Jiangsu province (KYCX19-0887), Youth Foundation of Anhui Polytechnic University (2014YQ40).

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Authors and Affiliations

  1. Department of Computer Information and Network Security, Jiangsu Police Institute, Nanjing, China

    Guangjun Liang, Qun Wang, Lingling Xia & Meng Li

  2. Jiangsu Provincial Public Security Department Key Laboratory of Digital Forensics, Nanjing, China

    Guangjun Liang, Qun Wang, Lingling Xia & Meng Li

  3. Electrical Engineering School, Anhui Polytechnic University, Wuhu, China

    Jianfang Xin

Authors
  1. Guangjun Liang
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  2. Jianfang Xin
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  3. Qun Wang
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  4. Lingling Xia
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  5. Meng Li
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Corresponding author

Correspondence to Jianfang Xin .

Editor information

Editors and Affiliations

  1. Computing Center, Shanghai University, Shanghai, China

    Honghao Gao

  2. University of Valladolid, Valladolid, Spain

    Ramón J. Durán Barroso

  3. China University of Petroleum, Hangzhou, China

    Pang Shanchen

  4. Xidian University, Xi’an, China

    Rui Li

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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Liang, G., Xin, J., Wang, Q., Xia, L., Li, M. (2021). Energy Efficiency Optimization for RF Energy Harvesting Relay System. In: Gao, H., J. Durán Barroso, R., Shanchen, P., Li, R. (eds) Broadband Communications, Networks, and Systems. BROADNETS 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 355. Springer, Cham. https://doi.org/10.1007/978-3-030-68737-3_4

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  • DOI: https://doi.org/10.1007/978-3-030-68737-3_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-68736-6

  • Online ISBN: 978-3-030-68737-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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