• DocumentCode
    131174
  • Title

    Network coding gain in device-to-device underlaying primary communications

  • Author

    Maher, Engy M. ; Hassan, Khaled S.

  • Author_Institution
    Fac. of Inf. Eng. & Technol., German Univ. in Cairo, Cairo, Egypt
  • fYear
    2014
  • fDate
    2-4 Sept. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Direct device-to-device (D2D) communication between cellular equipments is proposed to increase data-rate and extend conventional cellular coverage, by introducing underlaying communications with cellular network in cognitive fashion. For enhancing D2D coverage and reliability, we consider advanced relaying techniques. We study D2D communications over more than one hop using relay nodes, i.e., we study utilization of idle devices in connecting the D2D Tx and Rx playing the role of relays. This relaying technique can be implemented using network coding (NC) to provide extra redundancy in the network. With the help of Monte Carlo simulations, we investigate the network performance by comparing the sum rate of the D2D underlaying cellular network achieved with and without NC. It is shown that the physical network coding protocol outperforms the traditional routing scheme, while the digital network coding lies between the performance of both thus offering a good compromise. Finally we show that by considering the best case relay selection can significantly increase the system performance.
  • Keywords
    Monte Carlo methods; cellular radio; cognitive radio; network coding; protocols; relay networks (telecommunication); D2D communication; D2D coverage; D2D reliability; Monte Carlo simulations; cognitive fashion; conventional cellular coverage; direct device-to-device communication; network coding gain; physical network coding protocol; relay selection; relaying technique; Interference; Lattices; Network coding; Performance evaluation; Protocols; Relays; Wireless communication; Cellular Network; Device-to-Device; LTE Advanced; Network Coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Cellular Systems (CCS), 2014 1st International Workshop on
  • Conference_Location
    Germany
  • Type

    conf

  • DOI
    10.1109/CCS.2014.6933801
  • Filename
    6933801