• DocumentCode
    1744422
  • Title

    Transmission scheduling for efficient wireless utilization

  • Author

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

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    776
  • 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 fairness constraint. We establish the optimality of the scheduling scheme and also describe a practical scheduling procedure to implement our scheme. Through simulation results, we show that the scheme also works well for nonstationary scenarios and results in performance improvements of 20-150% compared with a scheduling scheme that does not take into account channel conditions. Furthermore, we note that in wireless networks, an important role of resource allocation is to balance the system performance and fairness among “good” and “bad” users. We propose three heuristic time-fraction assignment schemes, which approach the problem from different viewpoints
  • Keywords
    broadband networks; cellular radio; data communication; optimisation; radio networks; time-varying channels; voice communication; efficient wireless utilization; heuristic time-fraction assignment; nonstationary scenarios; opportunistic scheduling policy; optimal scheduling; resource allocation; resource allocation fairness constraint; simulation results; system performance; time-slotted cellular system; time-slotted system; time-varying channel conditions; transmission scheduling; voice communications; wideband data communications; wireless networks; Base stations; Frequency; Processor scheduling; Resource management; Shadow mapping; Signal to noise ratio; System performance; Throughput; Time-varying channels; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM 2001. Twentieth Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings. IEEE
  • Conference_Location
    Anchorage, AK
  • ISSN
    0743-166X
  • Print_ISBN
    0-7803-7016-3
  • Type

    conf

  • DOI
    10.1109/INFCOM.2001.916268
  • Filename
    916268