• DocumentCode
    2332228
  • Title

    Load Based Cell Selection Algorithm for Faulted Handover in Indoor Femtocell Network

  • Author

    Kwon, Yong Jin ; Cho, Dong-Ho

  • Author_Institution
    Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea
  • fYear
    2011
  • fDate
    15-18 May 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In wireless network, a femtocell, a device with small coverage, becomes an inevitable technology due to the increasing demand for high data rate. However, at present, femtocells are not sufficiently reliable. Thus, it is a critical issue to provide good protocols for diagnosing and managing faults in femtocells. In this paper, we contribute to satisfying these requirements by suggesting a queuing model including faulty handover to analyze a dynamics of an indoor network and proposing an efficient cell selection algorithm that minimizes handover failure and achieves a load balancing between neighboring cells when the femtocell generates a fault. Simulation results reveal that mobile users of a faulty femtocell can handover successfully to neighboring cells when the proposed algorithm is used.
  • Keywords
    femtocellular radio; indoor radio; mobility management (mobile radio); protocols; queueing theory; telecommunication network reliability; cell selection algorithm; fault diagnosis; fault management; faulty handover; handover failure minimization; indoor femtocell network; load balancing; load based cell selection algorithm; mobile users; protocols; queuing model; wireless network; Algorithm design and analysis; Analytical models; Computer architecture; Microprocessors; Simulation; Steady-state; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Spring), 2011 IEEE 73rd
  • Conference_Location
    Yokohama
  • ISSN
    1550-2252
  • Print_ISBN
    978-1-4244-8332-7
  • Type

    conf

  • DOI
    10.1109/VETECS.2011.5956436
  • Filename
    5956436