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Research on the Maximization of Total Information Rate Based on Energy Allocation in Multi-user SWIPT Relaying System

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Artificial Intelligence for Communications and Networks (AICON 2019)

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Abstract

With the rapid development and wide application of the wireless communication network, the communication network based on the simultaneous wireless information and power transfer (SWIPT) technology has attracted more and more extensive research. This technology solves the problem of frequent charging or replacement of the device battery very well, has greatly extended the working hours of the device, and can be adapted to some special communication environments such as high temperature and high pressure. This paper studies the effect of the energy allocation in multi-user SWIPT relaying system on the information rate. Thereinto, the relay uses the energy harvested in the energy harvesting mode to amplify and forward the information of the users. The total information rate maximization model is proposed and the corresponding energy allocation scheme is derived. The simulation results show that the proposed energy allocation scheme can maximize the total information rate of all users.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (Grant No. 51877151, 61372011), and Program for Innovative Research Team in University of Tianjin (Grant No. TD13-5040).

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Authors and Affiliations

  1. School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin, 300387, China

    Jianxiong Li, Xuelong Ding, Xianguo Li, Kunlai Li, Ke Zhao & Weiguang Shi

  2. Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems, Tianjin, 300387, China

    Jianxiong Li, Xuelong Ding, Xianguo Li, Kunlai Li, Ke Zhao & Weiguang Shi

Authors
  1. Jianxiong Li
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  2. Xuelong Ding
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  3. Xianguo Li
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  4. Kunlai Li
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  5. Ke Zhao
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  6. Weiguang Shi
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Corresponding author

Correspondence to Xianguo Li .

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Editors and Affiliations

  1. Harbin Institute of Technology, Harbin, China

    Shuai Han

  2. Harbin Institute of Technology, Harbin, China

    Liang Ye

  3. Harbin Institute of Technology, Harbin, China

    Weixiao Meng

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Li, J., Ding, X., Li, X., Li, K., Zhao, K., Shi, W. (2019). Research on the Maximization of Total Information Rate Based on Energy Allocation in Multi-user SWIPT Relaying System. In: Han, S., Ye, L., Meng, W. (eds) Artificial Intelligence for Communications and Networks. AICON 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 286. Springer, Cham. https://doi.org/10.1007/978-3-030-22968-9_42

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  • DOI: https://doi.org/10.1007/978-3-030-22968-9_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-22967-2

  • Online ISBN: 978-3-030-22968-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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