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International Conference on Communications and Networking in China

ChinaCom 2016: Communications and Networking pp 44–53Cite as

Price-Based Power Allocation in Energy Harvesting Wireless Cooperative Networks: A Stackelberg Game Approach

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Abstract

In this letter, a wireless cooperative network is considered, in which multiple source-destination pairs communicate with each other via an energy harvesting relay. We propose a price-based power allocation scheme to distribute the harvested energy among the multiple users. We model the interaction between the relay and the destinations as a Stackelberg game and then study the joint utility maximization of the relay and the destination. The Stackelberg equilibriums for the proposed game are characterized. Simulation results show the effectiveness of the proposed algorithm in comparison with the uniform pricing algorithm.

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Authors and Affiliations

  1. School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, 510006, China

    Chongyang Li & Xin Zhao

Authors
  1. Chongyang Li
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  2. Xin Zhao
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Corresponding author

Correspondence to Chongyang Li .

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Editors and Affiliations

  1. Post and Telecommunications, Chongqing University, Chongqing, China

    Qianbin Chen

  2. Harbin Institute of Technology (HIT), Harbin, China

    Weixiao Meng

  3. Xidian University, Xi’an, China

    Liqiang Zhao

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

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Li, C., Zhao, X. (2018). Price-Based Power Allocation in Energy Harvesting Wireless Cooperative Networks: A Stackelberg Game Approach. In: Chen, Q., Meng, W., Zhao, L. (eds) Communications and Networking. ChinaCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 210. Springer, Cham. https://doi.org/10.1007/978-3-319-66628-0_5

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  • DOI: https://doi.org/10.1007/978-3-319-66628-0_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66627-3

  • Online ISBN: 978-3-319-66628-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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