• DocumentCode
    646859
  • Title

    Downlink interference management for D2D communication underlying cellular networks

  • Author

    Bin Guo ; Shaohui Sun ; Qiubin Gao

  • Author_Institution
    Sch. of Electr. & Inf. Eng., Beihang Univ., Beijing, China
  • fYear
    2013
  • fDate
    12-14 Aug. 2013
  • Firstpage
    193
  • Lastpage
    196
  • Abstract
    Device-to-Device (D2D) communication underlying cellular networks and reusing cellular resources enhances the network capacity and spectrum efficiency, but causes severe interference which can degrade the system performance. In this paper, we concentrate on managing the downlink interference from D2D communication to cellular networks when sharing channel resources. First of all, a strategy based on interference-suppression-area (ISA) is proposed to classify the cellular user equipments (CUEs). Secondly, resource scheduling is processed to reduce the interference from D2D communication to CUEs inside the ISA. Finally, the size of ISA is discussed, which will influence the system performance heavily. The simulation results show that this interference management strategy by resources scheduling within ISA significantly improves system performance, and there exists an optimal size of ISA maximizing the system performance.
  • Keywords
    cellular radio; interference suppression; resource allocation; scheduling; CUE; D2D communication; ISA; cellular networks; cellular resources; cellular user equipments; channel resources; device-to-device communication; downlink interference management; interference-suppression-area; network capacity; resource scheduling; spectrum efficiency; Conferences; Downlink; Interference; Resource management; Signal to noise ratio; Simulation; System performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications in China - Workshops (CIC/ICCC), 2013 IEEE/CIC International Conference on
  • Conference_Location
    Xi´an
  • Type

    conf

  • DOI
    10.1109/ICCChinaW.2013.6670592
  • Filename
    6670592