• DocumentCode
    3577328
  • Title

    Handover Analysis of Macro-Assisted Small Cell Networks

  • Author

    Chia-Han Lee ; Zih-Siang Syu

  • Author_Institution
    Res. Center for Inf. Technol. Innovation, Taipei, Taiwan
  • fYear
    2014
  • Firstpage
    604
  • Lastpage
    609
  • Abstract
    The concept of macro-assisted small cell networks, or phantom cells, has recently been proposed to tackle the problem of mobility and handover issues in small cell networks. In this paper we analyze the mean handover rate and the mean sojourn time in cellular networks deploying the phantom cell architecture. The random waypoint model is used to describe the user mobility. The locations of base stations are modeled by a Poisson point process (PPP) and the base station serving zones are modeled by Poisson Voronoi tessellations (PVT). The closed-form expressions derived in this paper show that the handover rate and the sojourn time are simply a function of user velocity, transmission probability, and base station density. We further show that by adopting the macro-assisted small cell (phantom cell) architecture, the interruption ratio can be much smaller, and the improvement is equal to the square root of the ratio of densities of macro base stations and small cell base stations. The results thus provide useful design guidelines for phantom cell deployment in 5G.
  • Keywords
    cellular radio; mobility management (mobile radio); stochastic processes; 5G; Poisson Voronoi tessellations; Poisson point process; base station; base station density; cellular networks; handover analysis; handover issues; macroassisted small cell networks; mobility issues; phantom cell architecture; phantom cell deployment; transmission probability; Analytical models; Base stations; Computer architecture; Handover; Microprocessors; Phantoms; 5G; Poisson Voronoi tessellations; Poisson point process; handover; phantom cell; small cell; stochastic geometry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet of Things (iThings), 2014 IEEE International Conference on, and Green Computing and Communications (GreenCom), IEEE and Cyber, Physical and Social Computing(CPSCom), IEEE
  • Print_ISBN
    978-1-4799-5967-9
  • Type

    conf

  • DOI
    10.1109/iThings.2014.103
  • Filename
    7059729