• DocumentCode
    1124915
  • Title

    Asymptotic Throughput Analysis for Channel-Aware Scheduling

  • Author

    Song, Gilyoung ; Li, Yuhua

  • Volume
    54
  • Issue
    8
  • fYear
    2006
  • Firstpage
    1514
  • Lastpage
    1514
  • Abstract
    In this paper, we provide an asymptotic performance analysis of channel-aware packet scheduling based on extreme value theory. We first address the average throughput of systems with a homogeneous average signal-to-noise ratio (SNR) and obtain its asymptotic expression. Compared with the exact throughput expression, the asymptotic one, which is applicable to a broader range of fading channels, is more concise and easier to get insights. Furthermore, we confirm the accuracy of the asymptotic results by theoretical analysis and numerical simulation. For a system with heterogeneous SNRs, normalized-SNR-based scheduling needs to be used for fairness. We also investigate the asymptotic average throughput of the normalized-SNR-based scheduling, and prove that the average throughput in this case is less than that in the homogeneous case with a power constraint.
  • Keywords
    Fading; Numerical simulation; Peak to average power ratio; Performance analysis; Power engineering computing; Processor scheduling; Redundancy; Scheduling algorithm; Signal to noise ratio; Throughput;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2006.878808
  • Filename
    1673689