• DocumentCode
    1801889
  • Title

    A stochastic geometry analysis of D2D overlaying multi-channel downlink cellular networks

  • Author

    Jiajia Liu ; Shangwei Zhang ; Nishiyama, Hiroki ; Kato, Nei ; Jun Guo

  • Author_Institution
    State Key Lab. of Integrated Services Networks, Xidian Univ., Xi´an, China
  • fYear
    2015
  • fDate
    April 26 2015-May 1 2015
  • Firstpage
    46
  • Lastpage
    54
  • Abstract
    Based on the tool of stochastic geometry, we present in this paper a framework for analyzing the coverage probability and ergodic rate in a D2D overlaying multi-channel downlink cellular network. Different from previous works, 1) we consider a flexible new scheme for mobile UEs to select operation mode individually, under which a mobile UE decides to establish a cellular link (with a BS) or a D2D link (with a neighboring UE) based on the pilot signal strength received from its nearest BS; 2) we allow a mobile UE which is located far from BSs to connect to a nearby BS via another intermediate UE in a two-hop manner. Our results indicate that the developed framework is very helpful for network designers to efficiently determine the optimal network parameters at which the optimum system performance can be achieved. Furthermore, as corroborated by extensive numerical results, enabling the D2D link based two-hop connection can significantly improve the network coverage performance, especially for the low SIR regime.
  • Keywords
    cellular radio; probability; resource allocation; stochastic processes; D2D overlaying multi-channel downlink cellular networks; cellular link; coverage probability; ergodic rate; optimal network parameters; stochastic geometry analysis; two-hop connection; Channel allocation; Data communication; Downlink; Interference; Mobile communication; Mobile computing; Resource management; Device-to-device communication; downlink; multi-channel; performance analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communications (INFOCOM), 2015 IEEE Conference on
  • Conference_Location
    Kowloon
  • Type

    conf

  • DOI
    10.1109/INFOCOM.2015.7218366
  • Filename
    7218366