• DocumentCode
    2814345
  • Title

    Stochastic Power Allocation with Outage-Expectation Constraints in Lognormal Fading Wireless Channels

  • Author

    Hsiung, Kan-Lin

  • Author_Institution
    Stanford Univ., Stanford
  • fYear
    2007
  • fDate
    22-26 April 2007
  • Firstpage
    1547
  • Lastpage
    1548
  • Abstract
    This paper concerns stochastic power allocation in lognormal fading wireless channels. We consider an outage-based quality of service (QoS) specification which requires that, for each channel, the outage expectation (i.e., the average probability/time that a transmitter/receiver pair experiences any outage due to fading) is kept below a given level. The problem of finding an optimal power allocation to achieve this QoS goal over lognormal fading wireless channels (with statistically independent fadings) can be posed as a specific type of stochastic posynomial programming with lognormally distributed random coefficients. We show that this expectation-based stochastic posynomial program (with lognormal variations) can be reformulated as a conventional (i.e., deterministic) posynomial program, which can be furthered solved by the very efficient interior-point method.
  • Keywords
    fading channels; log normal distribution; quality of service; stochastic processes; interior-point method; lognormal fading wireless channels; lognormally distributed random coefficients; outage-based quality of service; outage-expectation constraints; stochastic posynomial programming; stochastic power allocation; Fading; Information systems; Laboratories; Probability; Quality of service; Random variables; Shadow mapping; Stochastic processes; Stochastic systems; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2007. CCECE 2007. Canadian Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    0840-7789
  • Print_ISBN
    1-4244-1020-7
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2007.385
  • Filename
    4233044