• DocumentCode
    1541624
  • Title

    Opportunistic transmission scheduling with resource-sharing constraints in wireless networks

  • Author

    Liu, Xin ; Chong, Edwin K P ; Shroff, Ness B.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
  • Volume
    19
  • Issue
    10
  • fYear
    2001
  • fDate
    10/1/2001 12:00:00 AM
  • Firstpage
    2053
  • Lastpage
    2064
  • Abstract
    We present an “opportunistic” transmission scheduling policy that exploits time-varying channel conditions and maximizes the system performance stochastically under a certain resource allocation constraint. We establish the optimality of the scheduling scheme and also that every user experiences a performance improvement over any nonopportunistic scheduling policy when users have independent performance values. We demonstrate via simulation results that the scheme is robust to estimation errors and also works well for nonstationary scenarios, resulting in performance improvements of 20%-150% compared with a scheduling scheme that does not take into account channel conditions. Last, we discuss an extension of our opportunistic scheduling scheme to improve “short-term” performance
  • Keywords
    cellular radio; parameter estimation; radio networks; time-varying channels; cellular radio; estimation errors; nonopportunistic scheduling; nonstationary scenarios; opportunistic transmission scheduling; parameter estimation algorithm; resource allocation constraint; resource-sharing constraints; short-term performance; simulation results; system performance; time-varying channel conditions; wireless networks; Base stations; Intelligent networks; Quality of service; Resource management; Robustness; Shadow mapping; System performance; Throughput; Time-varying channels; Wireless networks;
  • fLanguage
    English
  • Journal_Title
    Selected Areas in Communications, IEEE Journal on
  • Publisher
    ieee
  • ISSN
    0733-8716
  • Type

    jour

  • DOI
    10.1109/49.957318
  • Filename
    957318