• DocumentCode
    3510025
  • Title

    Optimality of binary power-control in a single cell via majorization

  • Author

    Inaltekin, Hazer ; Hanly, Stephen

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Melbourne, VIC, Australia
  • fYear
    2011
  • fDate
    July 31 2011-Aug. 5 2011
  • Firstpage
    2891
  • Lastpage
    2895
  • Abstract
    This paper considers the optimum single cell power-control maximizing the aggregate (uplink) communication rate of the cell when there are peak power constraints at mobile users, and a low-complexity data decoder (without successive decoding) at the base station. It is shown, via the theory of majorization, that the optimum power allocation is binary, which means links are either “on” or “off”. By exploiting further structure of the optimum binary power allocation, a simple polynomial-time algorithm for finding the optimum transmission power allocation is proposed. Sufficient conditions under which channel-state aware time-division-multiple-access (TDMA) maximizes the aggregate communication rate are established. Finally, a simulation study is performed and it is observed that two dominant modes of communication arise, wideband or TDMA. The heuristic algorithm that chooses the best of these two modes is observed to be extremely close to optimal.
  • Keywords
    cellular radio; polynomials; power control; telecommunication control; time division multiple access; wireless channels; TDMA; binary power control optimality; channel state aware time division multiple access; communication rate; heuristic algorithm; low complexity data decoder; optimum binary power allocation; optimum transmission power allocation; peak power constraint; polynomial time algorithm; Base stations; Fading; Heuristic algorithms; Interference; Resource management; Signal to noise ratio; Time division multiple access; Communication networks; TDMA; power-control; sum-rate capacity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2011 IEEE International Symposium on
  • Conference_Location
    St. Petersburg
  • ISSN
    2157-8095
  • Print_ISBN
    978-1-4577-0596-0
  • Electronic_ISBN
    2157-8095
  • Type

    conf

  • DOI
    10.1109/ISIT.2011.6034104
  • Filename
    6034104