• DocumentCode
    787360
  • Title

    Ergodic sum capacity maximization for CDMA:Optimum resource allocation

  • Author

    Kaya, Onur ; Ulukus, Sennur

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Maryland, College Park, MD, USA
  • Volume
    51
  • Issue
    5
  • fYear
    2005
  • fDate
    5/1/2005 12:00:00 AM
  • Firstpage
    1831
  • Lastpage
    1836
  • Abstract
    We solve for the optimum signature sequence and power allocation policies that maximize the information-theoretic ergodic sum capacity of a code-division multiple-access (CDMA) system subject to fading. We show that at most N users may transmit at any given channel state, where N is the processing gain; and those users who are transmitting should be assigned orthogonal signature sequences. We also show that the power allocation policy that maximizes the capacity together with the choice of these signature sequences is single-user water-filling over sets of channel states that are favorable to each user. That is, the capacity maximizing signaling scheme is shown to dictate that the users allocate their powers and signature sequences in such a way that they always avoid interference from each other.
  • Keywords
    channel allocation; channel capacity; code division multiple access; fading channels; interference (signal); iterative methods; optimisation; power control; sequences; CDMA system; capacity maximizing signaling scheme; code-division multiple-access; ergodic sum capacity; fading channel state; interference avoidance; optimum resource allocation; orthogonal signature sequence; power allocation policy; single-user iterative water-filling; Channel capacity; Channel state information; Context; Fading; Interference; Multiaccess communication; Power control; Random variables; Resource management; Wireless communication; Code-division multiple access (CDMA); fading channels; interference avoidance; iterative water-filling; power control; signature sequence optimization; sum capacity;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2005.846413
  • Filename
    1424320