• DocumentCode
    2520581
  • Title

    Power and resource allocation for orthogonal multiple access relay systems

  • Author

    Mesbah, Wessam ; Davidson, Timothy N.

  • Author_Institution
    Dept. Elec. & Comp. Eng., McMaster Univ., Hamilton, ON
  • fYear
    2008
  • fDate
    6-11 July 2008
  • Firstpage
    2272
  • Lastpage
    2276
  • Abstract
    We study the problem of jointly allocating power and the channel resource of an orthogonal multiple access relay systems in order to maximize the achievable rate region. Four relaying strategies are considered: regenerative decode-and- forward (RDF), non-regenerative decode-and-forward (NDF), amplify-and-forward (AF), and compress-and-forward (CF). For RDF and NDF we show that the problem can be formulated as a quasi-convex problem, while for AF and CF we show that the problem can be made quasi-convex if the signal to noise ratios of the direct channels are at least -3 dB. Therefore, efficient algorithms can be used to obtain the jointly optimal power and channel resource allocation. Furthermore, we show that the convex subproblems in those algorithms admit a closed-form solution. Our numerical results show that the joint allocation of power and the channel resource achieves significantly larger achievable rate regions than those achieved by power allocation alone with fixed channel resource allocation. We also demonstrate that assigning different relaying strategies to different users together with the joint allocation of power and the channel resources can further enlarge the achievable rate region.
  • Keywords
    convex programming; multi-access systems; telecommunication channels; amplify-and-forward; channel resource; compress-and-forward; nonregenerative decode-and-forward; orthogonal multiple access relay systems; power allocation; quasi-convex problem; regenerative decode-and-forward; resource allocation; signal to noise ratios; Circuits; Closed-form solution; Decoding; Power engineering and energy; Power system relaying; Relays; Resource description framework; Resource management; Signal to noise ratio; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2008. ISIT 2008. IEEE International Symposium on
  • Conference_Location
    Toronto, ON
  • Print_ISBN
    978-1-4244-2256-2
  • Electronic_ISBN
    978-1-4244-2257-9
  • Type

    conf

  • DOI
    10.1109/ISIT.2008.4595395
  • Filename
    4595395