• DocumentCode
    3741806
  • Title

    User average data rate analysis in future dense small cells

  • Author

    Di Wu; Jun Gu; Xinyu Gu; Shiwen Nie; Ming Zhao; Lin Zhang

  • Author_Institution
    Beijing University of Posts and Telecommunications, 100876, China
  • fYear
    2015
  • Firstpage
    481
  • Lastpage
    486
  • Abstract
    In the fifth generation (5G) mobile communication system, the experienced user data rate is expected to achieve at least 0.1Gbps. And the connection density may be one million connections per square kilometers. To satisfy this requirement, deploying dense small cell networks as an overlay to conventional macro cell is regarded as an effective method. In this paper, we analyze the deployment of dense small cells to meet with 5G data rate requirement using stochastic geometry theory. A two-tier heterogeneous cellular network (HCN) which contains both macro cells and small cells is used as the cellular network model. And base stations (BSs) in each tier are randomly located following spatial Poisson point process (PPP) distribution. Both macro BSs and small cells deployed in a separate frequency band and in the same frequency band are analyzed as a comparison. Also other factors which have impacts on the user data rate are considered for a comprehensive assessment of the small cell densification degree, such as the bandwidth, the interference elimination factor and the transmission power ratio.
  • Keywords
    "Interference","Phase locked loops","Shape"
  • Publisher
    ieee
  • Conference_Titel
    Communication Technology (ICCT), 2015 IEEE 16th International Conference on
  • Print_ISBN
    978-1-4673-7004-2
  • Type

    conf

  • DOI
    10.1109/ICCT.2015.7399883
  • Filename
    7399883