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Max-Min Fairness Scheme in Wireless Powered Communication Networks with Multi-user Cooperation

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Wireless Algorithms, Systems, and Applications (WASA 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10874))

Abstract

In wireless powered communication networks (WPCNs), different channel states of energy harvesting and information transfer result in the large gap of throughput performance between user nodes. In this paper, the multi-user cooperation was used to improve the throughput fairness in the WPCN. We discuss one important fairness problem called the max-min throughput problem with resource allocation. The problem is modeled as a mixed-integer nonlinear programming. Although it is hard to be solved by existing methods, we use a branch and bound method based on the piece-wise linear method to obtain the lower bound. The simulation results that the proposed method achieves an average of 97% performance gain when path loss component \( \alpha = \text{3} \) with random progress method.

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Acknowledgments

This work was supported by the project DETERMINE funded under the Marie Curie IRSES Actions of the European Union Seventh Framework Program (EU-FP7 Contract No. 318906), and the NSFC project (Grant No. 61572394).

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Authors and Affiliations

  1. Xi’an Jiaotong University, Xi’an, China

    Ming Lei, Xingjun Zhang & Bocheng Yu

Authors
  1. Ming Lei
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  2. Xingjun Zhang
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  3. Bocheng Yu
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Corresponding author

Correspondence to Xingjun Zhang .

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Editors and Affiliations

  1. University of South Florida, Tampa, Florida, USA

    Sriram Chellappan

  2. Virginia Commonwealth University, Richmond, Virginia, USA

    Wei Cheng

  3. Georgia State University, Atlanta, Georgia, USA

    Wei Li

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Lei, M., Zhang, X., Yu, B. (2018). Max-Min Fairness Scheme in Wireless Powered Communication Networks with Multi-user Cooperation. In: Chellappan, S., Cheng, W., Li, W. (eds) Wireless Algorithms, Systems, and Applications. WASA 2018. Lecture Notes in Computer Science(), vol 10874. Springer, Cham. https://doi.org/10.1007/978-3-319-94268-1_18

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  • DOI: https://doi.org/10.1007/978-3-319-94268-1_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94267-4

  • Online ISBN: 978-3-319-94268-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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