• DocumentCode
    2274240
  • Title

    Interference-aware channel allocation for Device-to-Device communication underlaying cellular networks

  • Author

    Xu, Yanfang ; Yin, Rui ; Han, Tao ; Yu, Guanding

  • Author_Institution
    Dept. of Inf. Sci. & Electron. Eng., Zhejiang Univ., Hangzhou, China
  • fYear
    2012
  • fDate
    15-17 Aug. 2012
  • Firstpage
    422
  • Lastpage
    427
  • Abstract
    Device-to-Device (D2D) communication underlaying cellular networks will become an important technology in future networks such as IMT-Advanced to improve spectral efficiency. In order to enhance the overall system performance, the mutual interference between cellular and D2D communication caused by reusing the spectrum should be properly coordinated and channel allocation is considered as one of the methods to coordinate the interference. In this paper, the problem of channel allocation in a single cell system with several D2D pairs wanting to communicate directly is modeled. Then, an optimal interference-aware channel allocation scheme based on Hungarian algorithm is proposed. The scheme aims to maximize the number of permitted D2D communication pairs in a system meanwhile avoiding the strong interference from D2D communication to the cellular communication. Besides, we also propose a heuristic algorithm to reduce the computational complexity. Simulation results show that the proposed methods enhance the number of permitted D2D communication pairs significantly and the heuristic algorithm has a performance similar to that of the optimal algorithm which is based on Hungarian algorithm.
  • Keywords
    cellular radio; channel allocation; computational complexity; interference suppression; mobile handsets; radiofrequency interference; D2D communication; Hungarian algorithm; IMT-advanced; cellular network; computational complexity; device-to-device communication; heuristic algorithm; mutual interference; optimal interference-aware channel allocation scheme; spectral efficiency; Admission control; Channel allocation; Heuristic algorithms; Interference; Process control; Resource management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications in China (ICCC), 2012 1st IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-2814-2
  • Electronic_ISBN
    978-1-4673-2813-5
  • Type

    conf

  • DOI
    10.1109/ICCChina.2012.6356919
  • Filename
    6356919