• DocumentCode
    1804362
  • Title

    Exploring full-duplex gains in multi-cell wireless networks: A spatial stochastic framework

  • Author

    Shu Wang ; Venkateswaran, Vignesh ; Xinyu Zhang

  • Author_Institution
    Univ. of Wisconsin-Madison, Madison, WI, USA
  • fYear
    2015
  • fDate
    April 26 2015-May 1 2015
  • Firstpage
    855
  • Lastpage
    863
  • Abstract
    Full-duplex radio technology is becoming mature and holds potential to boost the spectrum efficiency of a point-to-point wireless link. However, a fundamental understanding is still lacking, with respect to its advantage over half-duplex in multi-cell wireless networks with contending links. In this paper, we establish a spatial stochastic framework to analyze the mean network throughput gain from full-duplex, and pinpoint the key factors that determine the gain. Our framework extends classical stochastic geometry analysis with a new tool-set, which allows us to model a trade-off between the benefit from concurrent full-duplex transmissions and the loss of spatial reuse, particularly for CSMA-based transmitters with random backoff. The analysis derives closed-form expressions for the full-duplex gain as a function of link distance, interference range, network density, and carrier sensing schemes. It can be easily applied to guide the deployment choices during the early stage of network planning.
  • Keywords
    access protocols; radio networks; carrier sensing; closed-form expressions; full-duplex gains; interference range; link distance; multi-cell wireless networks; network density; point-to-point wireless link; spatial stochastic framework; stochastic geometry analysis; Analytical models; Interference; Radio transmitters; Receivers; Sensors; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communications (INFOCOM), 2015 IEEE Conference on
  • Conference_Location
    Kowloon
  • Type

    conf

  • DOI
    10.1109/INFOCOM.2015.7218456
  • Filename
    7218456