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Distributed Sharing of Base Stations for Greening: A Population Game Approach

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Game Theory for Networks (GameNets 2016)

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Abstract

Towards better QoSs and larger market share in highly competitive cellular network market, many mobile network operators (MNOs) aggressively invest in their base station (BS) deployment. As a result, BSs are densely deployed and incur a lot of energy consumptions, resulting in a large portion of operation cost. To save energy consumption, sharing BSs among different MNOs is a promising approach, where each user can be served from any BSs regardless of his or her original subscription, i.e., roaming. In this paper, we address the question of how many users should be roamed in a distributed manner with the goal of some sense of optimality. To answer this question, we take a population game approach, where we model flow-level dynamics of traffic and define an user association game among different MNOs. We prove that the game is an exact potential game with ‘zero’-price-of-anarchy. We develop a distributed algorithm that converges the NE (which is a socially optimal point) that can be used as a light-weight, dynamic user association algorithm.

This work was supported by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIP) (B0126-15-1078).

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Notes

  1. 1.

    The unit of axis is km.

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Authors and Affiliations

  1. Department of Electrical Engineering, KAIST, Daejeon, South Korea

    Soohwan Lee & Yung Yi

Authors
  1. Soohwan Lee
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  2. Yung Yi
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Corresponding author

Correspondence to Soohwan Lee .

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Editors and Affiliations

  1. School of Engineering, University of British Columbia, Kelowna, British Columbia, Canada

    Julian Cheng

  2. University of Manitoba, Winnipeg, Manitoba, Canada

    Ekram Hossain

  3. University of British Columbia, Vancouver, British Columbia, Canada

    Haijun Zhang

  4. Wireless@VT, Bradley Department of ECE, Virginia Tech, Blacksburg, Virginia, USA

    Walid Saad

  5. Department of Electrical Engineering and Computer Science, University of Central Florida, Orlando, Florida, USA

    Mainak Chatterjee

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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Lee, S., Yi, Y. (2017). Distributed Sharing of Base Stations for Greening: A Population Game Approach. In: Cheng, J., Hossain, E., Zhang, H., Saad, W., Chatterjee, M. (eds) Game Theory for Networks. GameNets 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 174. Springer, Cham. https://doi.org/10.1007/978-3-319-47509-7_8

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  • DOI: https://doi.org/10.1007/978-3-319-47509-7_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47508-0

  • Online ISBN: 978-3-319-47509-7

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