• DocumentCode
    1464644
  • Title

    Handoff ordering using signal prediction priority queuing in personal communication systems

  • Author

    Ebersman, Howard G. ; Tonguz, Ozan K.

  • Author_Institution
    Microwave Data Syst., Rochester, NY, USA
  • Volume
    48
  • Issue
    1
  • fYear
    1999
  • fDate
    1/1/1999 12:00:00 AM
  • Firstpage
    20
  • Lastpage
    35
  • Abstract
    Handoffs in a mobile cellular communications environment will become an increasingly important issue as cell sizes shrink to accommodate an increasingly large demand for services. A new handoff ordering method is proposed which can be used to provide rapid handovers with a smaller percentage of dropped calls than other methods. Signal prediction priority queuing (SPPQ) is a generic queuing method which can be adapted to almost any handover technique for the benefit of decreased dropped calls. In typical personal communication systems (PCSs) environment, it is shown that for realistic call-blocking probabilities (2%-6%), SPPQ leads to about 15% fewer dropped calls compared to first-in-first-out (FIFO) queuing. This benefit comes at the expense of a slight increase (<1%) in blocked call percentage. The proposed SPPQ scheme is also compared to a previously developed method called measurement-based priority scheme (MBPS), and, based on worst case scenarios, it is shown to outperform MBPS as well
  • Keywords
    cellular radio; personal communication networks; prediction theory; probability; queueing theory; telecommunication traffic; FIFO; PCS; blocked call percentage; call-blocking probabilities; cell sizes; dropped calls; first-in-first-out queuing; generic queuing method; handoff ordering; measurement-based priority scheme; mobile cellular communications; personal communication systems; signal prediction priority queuing; Base stations; Data systems; Degradation; Fading; Mobile communication; Traffic control; Vehicles; Wireless communication;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/25.740057
  • Filename
    740057