• DocumentCode
    1775047
  • Title

    Uplink dynamic resource sharing of underlaying D2D and cellular communications

  • Author

    Dan Wu ; Yueming Cai ; Jiannan Qi ; Rodrigues, Joel J. P. C.

  • Author_Institution
    Inst. of Commun. Eng., PLA Univ. of Sci. & Technol., Nanjing, China
  • fYear
    2014
  • fDate
    23-25 Oct. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this work, we propose a dynamic distributed resource sharing scheme which jointly considers mode selection, resource allocation, and power control in a unified framework for general D2D communications. Specifically, we model the joint problem of mode selection and resource allocation as a hedonic coalition formation game, and develop a coalition formation process based on the switch rule. Through this process, each cellular user makes an individual decision to form a Nash-stable partition, while accounting for the tradeoff between the benefits in terms of available rate and the costs in terms of the mutual interference. Moreover, we view the members of each coalition as a whole, and formulate a power control optimization problem to share the aim of maximizing the sum-rate of cellular links in this coalition. In order to solve this non-convex and multi-variable optimization problem with the online operation, we present a power control process, which employs the local piecewise-linear approach to take a locally and separately approximate optimal outcome. Then, we develop a dynamic resource sharing algorithm which iteratively operates the coalition formation process and the power control process. It allows cellular users to adapt to environmental changes in a distributed manner.
  • Keywords
    approximation theory; cellular radio; concave programming; game theory; iterative methods; mobile handsets; power control; radio links; radiofrequency interference; resource allocation; Nash-stable partition; cellular communication link; hedonic coalition formation game process; local piecewise-linear approach; multivariable optimization problem; mutual interference; nonconvex optimization problem; power control optimization problem; resource allocation; sum-rate maximization; underlaying D2D communication; uplink dynamic distributed resource sharing scheme; Games; Heuristic algorithms; Power control; Resource management; Silicon; Switches; Uplink; D2D communication; mode selection; power control; resource allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Signal Processing (WCSP), 2014 Sixth International Conference on
  • Conference_Location
    Hefei
  • Type

    conf

  • DOI
    10.1109/WCSP.2014.6992180
  • Filename
    6992180