• DocumentCode
    2325524
  • Title

    CTH03-5: Optimal Resource Allocation via Geometric Programming for OFDM Broadcast and Multiple Access Channels

  • Author

    Seong, Kibeom ; Yu, David D. ; Kim, Youngjae ; Cioffi, John M.

  • Author_Institution
    Dept. of Electr. Eng., Stanford Univ., Stanford, CA
  • fYear
    2006
  • fDate
    Nov. 27 2006-Dec. 1 2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    For multi-user orthogonal frequency division multiplexing (OFDM) systems, efficient optimal rate and power allocation algorithms are presented via geometric programming (GP), a special form of convex optimization problem for which very efficient interior point methods exist. Both multiple access channel (MAC) and broadcast channel (BC) are considered and the following two resource allocation problems are of main interest: weighted sum-rate maximization (WSRmax) and weighted sum-power minimization (WSPmin). Utilizing degradedness of BC on each tone, WSRmax and WSPmin in the BC can be all formulated as GP. By using the duality relation between MAC and BC, it is shown that the above resource allocation problems in the MAC can be converted into GP problems as well. This GP perspective of multi-user OFDM resource allocation problems provides numerical efficiency as well as strong scalability for any additional constraints of GP form.
  • Keywords
    OFDM modulation; broadcast channels; channel capacity; geometric programming; multi-access systems; multiuser channels; resource allocation; OFDM broadcast channels; geometric programming; multiple access channels; multiuser orthogonal frequency division multiplexing systems; optimal resource allocation; power allocation algorithms; weighted sum-power minimization; weighted sum-rate maximization; Broadcasting; Degradation; Downlink; Fading; Intersymbol interference; Iterative algorithms; OFDM; Optimization methods; Resource management; Scalability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2006. GLOBECOM '06. IEEE
  • Conference_Location
    San Francisco, CA
  • ISSN
    1930-529X
  • Print_ISBN
    1-4244-0356-1
  • Electronic_ISBN
    1930-529X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2006.50
  • Filename
    4150680