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Energy Efficient Clustering and Beamforming for Cooperative Multicell Networks

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Game Theory for Networks (GameNets 2016)

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Abstract

Network densification is the most important way to improve the network capacity and hence is widely adopted to handle the ever-increasing mobile traffic demand. However, network densification will make the inter-cell interference severe and also significantly increase the energy budget. Multicell cooperative transmission is an efficient way to mitigate the inter-cell interference and plays an important role in energy efficiency optimization. This paper investigates the energy efficient multicell cooperation strategy for dense wireless networks. Joint cluster forming and beamforming are considered to optimize the energy efficiency (evaluated by bits/Hz/J). The optimization problem is then decoupled into two subproblems, i.e., energy efficient beamforming problem and energy efficient cluster forming problem. The fractional programming and Lagrangian duality theory are used to obtain the optimal beamformer. Coalition formation game theory is exploited to solve the cluster forming problem. The proposed energy efficient clustering and beamforming strategy can provide flexible network service according to spatially uneven traffic and greatly improve the network energy efficiency.

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Acknowledgment

This work is supported by the National Natural Science Foundation of China, No. 61271179, the Beijing Municipal Science and Technology Commission research fund project “Research on 5G Network Architecture and Its Intelligent Management Technologies”, No. D151100000115002, and the Fundamental Research Funds for the Central Universities, No. 2014ZD03-01.

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Authors and Affiliations

  1. Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, China

    Yawen Chen, Xiangming Wen, Zhaoming Lu, Hua Shao, Jingyu Lu & WenPeng Jing

  2. Beijing Laboratory of Advanced Information Networks, Beijing, China

    Yawen Chen, Xiangming Wen, Zhaoming Lu, Hua Shao, Jingyu Lu & WenPeng Jing

Authors
  1. Yawen Chen
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  2. Xiangming Wen
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  3. Zhaoming Lu
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  4. Hua Shao
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  5. Jingyu Lu
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  6. WenPeng Jing
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Corresponding author

Correspondence to Yawen Chen .

Editor information

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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Chen, Y., Wen, X., Lu, Z., Shao, H., Lu, J., Jing, W. (2017). Energy Efficient Clustering and Beamforming for Cooperative Multicell Networks. 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_3

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  • DOI: https://doi.org/10.1007/978-3-319-47509-7_3

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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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