• DocumentCode
    2945436
  • Title

    Optimal Resource Allocation for OFDMA Downlink Systems

  • Author

    Seong, Kibeom ; Mohseni, Mehdi ; Cioffi, John M.

  • Author_Institution
    Dept. of Electr. Eng., Stanford Univ., CA
  • fYear
    2006
  • fDate
    9-14 July 2006
  • Firstpage
    1394
  • Lastpage
    1398
  • Abstract
    This paper proposes efficient rate and power allocation algorithms for OFDMA downlink systems where each tone is taken by at most one user. Weighted sum rate maximization (WSRmax) and weighted sum power minimization (WSPmin) problems are considered. Since these resource allocation problems are non-convex, complexity of finding the optimal solutions is prohibitively high. This paper employs the Lagrange dual decomposition method to efficiently solve both optimization problems. Because of their non-convex nature, there is no guarantee for the solution obtained by the dual decomposition method to be optimal. However, it is shown that with practical number of tones, the duality gap is virtually zero and the optimal solutions can be efficiently obtained
  • Keywords
    OFDM modulation; duality (mathematics); frequency division multiple access; optimisation; Lagrange dual decomposition method; OFDMA downlink systems; duality gap; nonconvex problem; optimal resource allocation; optimization problems; power allocation algorithm; rate allocation algorithm; weighted sum power minimization problem; weighted sum rate maximization problem; DSL; Downlink; Lagrangian functions; OFDM modulation; Optimization methods; Quality of service; Resource management; Signal to noise ratio; Throughput; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2006 IEEE International Symposium on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    1-4244-0505-X
  • Electronic_ISBN
    1-4244-0504-1
  • Type

    conf

  • DOI
    10.1109/ISIT.2006.262075
  • Filename
    4036195