• DocumentCode
    793292
  • Title

    Asymptotic throughput analysis for channel-aware scheduling

  • Author

    Song, Guocong ; Li, Ye

  • Author_Institution
    Motorola Inc., Libertyville, IL
  • Volume
    54
  • Issue
    10
  • fYear
    2006
  • Firstpage
    1827
  • Lastpage
    1834
  • Abstract
    In this paper, we provide an asymptotic performance analysis of channel-aware packet scheduling based on the 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 from which 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 channels; asymptotic expression; asymptotic throughput analysis; channel-aware packet scheduling; exact throughput expression; extreme value theory; fading channels; homogeneous average signal-to-noise ratio; normalized-SNR-based scheduling; power constraint; Bandwidth; Convergence; Fading; Modulation coding; Multiuser detection; Performance analysis; Scheduling algorithm; Signal to noise ratio; Throughput; Transmitters; Channel-aware scheduling; extreme value theory; multiuser diversity (MUD);
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2006.881254
  • Filename
    1710338