• DocumentCode
    262569
  • Title

    Energy-Efficiency Based Resource Allocation for D2D Communication and Cellular Networks

  • Author

    AlWreikat, Layanah ; Rong Chai ; Abu-Sharkh, Osama M. F.

  • Author_Institution
    Key Lab. of Mobile Commun. Technol., Chongqing Univ. of Posts & Telecommun., Chongqing, China
  • fYear
    2014
  • fDate
    3-5 Dec. 2014
  • Firstpage
    722
  • Lastpage
    728
  • Abstract
    In this paper, we present an energy efficiency based resource allocation scheme for a heterogeneous integrated network consisting of device-to-device (D2D) communication system and a cellular communication system. We study the power allocation and network mode selection scheme for users´ coexistence of both systems in terms of energy efficiency maximization of the heterogeneous network (Het Net). The formulated optimization problem is a fractional non-convex problem, the standard convex optimization techniques cannot be applied directly. With the use of fractional programming and dual problem formulation, we are able to solve the non-convex problem, taking into consideration the minimum data rate required, the minimum received power and the maximum device dependent radiated power constraints. Results show that the optimal solution can be achieved with a relatively small number of iterations. Also results show that the increase in both the number of users and system data rate does not necessarily lead to an increase in the energy efficiency of the network.
  • Keywords
    cellular radio; convex programming; energy conservation; resource allocation; D2D communication; cellular communication system; cellular networks; device-to-device communication system; dual problem formulation; energy-efficiency based resource allocation; formulated optimization problem; fractional nonconvex problem; fractional programming; heterogeneous integrated network consisting; maximum device-dependant radiated power constraints; network mode selection scheme; nonconvex problem; power allocation; standard convex optimization techniques; Bandwidth; Energy efficiency; Linear programming; Optimization; Power demand; Resource management; Transmitters; Device-to-Device communication; energy efficiency; non convex optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Big Data and Cloud Computing (BdCloud), 2014 IEEE Fourth International Conference on
  • Conference_Location
    Sydney, NSW
  • Type

    conf

  • DOI
    10.1109/BDCloud.2014.77
  • Filename
    7034866