• DocumentCode
    16551
  • Title

    Generalized Pollaczek-Khinchin Formula for Markov Channels

  • Author

    Liang Huang ; Lee, T.T.

  • Author_Institution
    Dept. of Inf. Eng., Chinese Univ. of Hong Kong, Shatin, China
  • Volume
    61
  • Issue
    8
  • fYear
    2013
  • fDate
    Aug-13
  • Firstpage
    3530
  • Lastpage
    3540
  • Abstract
    The wireless fading channels with finite input buffer, Poisson arrivals and two-state Markov modulated service processes (MMSP) are modeled as M/MMSP/1/K queues in this paper. The existing performance analyses of Markov channels are almost all based on the matrix-geometric method, which provides little physical insights for system design. By contrast, we focus on deriving closed-form analytic expressions with physical interpretations in terms of system parameters of interest. Our main contribution is to derive the generalized Pollaczek-Khinchin (P-K) formula of M/MMSP/1/K queue from start-service probability to explore the impact of state transitions on the queueing behavior of Markov channels. This generalized P-K formula reveals that the performance of wireless channels with varying rates can be fully characterized by a newly defined system parameter, called state transition factor β, which clearly explains the reason that the channel with slow state transition rate owns a larger delay for the same channel capacity. In the extreme case when the state transition factor β approaches 0, we show that the channel under consideration can be approximately modeled as an M/G/1 queue. We use the Type I Hybrid ARQ system with a fixed data-rate as an example in this paper to illustrate our results.
  • Keywords
    Markov processes; automatic repeat request; fading channels; geometry; matrix algebra; queueing theory; M/MMSP/1/K queues; Markov channels; Poisson arrivals; finite input buffer; generalized Pollaczek-Khinchin formula; matrix-geometric method; start-service probability; two-state Markov modulated service processes; type I hybrid ARQ system; wireless fading channels; Analytical models; Approximation methods; Automatic repeat request; Delays; Fading; Markov processes; Wireless communication; Markov channel; start-service probability; state transition factor; two-state queueing model;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2013.061913.120712
  • Filename
    6549243