• DocumentCode
    125980
  • Title

    Interference model with channel shadowing and fading for device-to-device communications

  • Author

    Yan Li ; Bo Ai ; Xiang Cheng ; Pengyu Liu ; Yuanxuan Li ; Zhangdui Zhong

  • Author_Institution
    State Key Lab. of Rail Traffic Control & Safety, Beijing Jiaotong Univ., Beijing, China
  • fYear
    2014
  • fDate
    16-23 Aug. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Device-to-device (D2D) communications have recently been considered as a promising technology to improve the resource utilization of the cellular network and the user throughput between devices in proximity to each other. In this paper, we present an interference model with the channel shadowing and fading for D2D communications. This model assumes that the D2D user equipments (UEs) can cease their transmission within the interference region centered at the cellular UE. We investigate the impacts of interference region, channel shadowing, and small scale fading on the probability density function (PDF) of the interference power. Simulation results show that the channel shadowing and small scale fading are beneficial in terms of reducing the mean value and outage probability of the interference power, and the Gaussian approximation is no longer valid, while the log-normal distribution seems to be a better description of the interference PDF.
  • Keywords
    Gaussian processes; approximation theory; cellular radio; electromagnetic interference; fading channels; log normal distribution; D2D communications; D2D user equipments; Gaussian approximation; PDF; cellular network; channel fading; channel shadowing; device-to-device communications; interference model; log-normal distribution; outage probability; probability density function; resource utilization; user throughput; Fading; Interference; Log-normal distribution; Nakagami distribution; Power control; Probability density function; Shadow mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    General Assembly and Scientific Symposium (URSI GASS), 2014 XXXIth URSI
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/URSIGASS.2014.6929345
  • Filename
    6929345