• DocumentCode
    177570
  • Title

    Power allocation for Gaussian multiple access channel with noisy cooperative links

  • Author

    Songze Li ; Akyol, Emrah ; Mitra, U.

  • Author_Institution
    Ming Hsieh Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    474
  • Lastpage
    478
  • Abstract
    In this paper, a new coding scheme for the multiple access channel (MAC) with noisy cooperative links is proposed. The cooperation cost is modelled by powers spent on exchanging common information at transmitters. The optimal power allocation policy is derived to explore the tradeoff between cooperation and transmission. For some important cases, optimal power allocation that maximizes weighted sum rate, is found analytically. The sufficient and necessary condition for which the sum and the individual rates are simultaneously maximized, is identified. Analytical and numerical results suggest that the transmitter, whose power budget is dominated by that of the other, acts purely as a relay. The cooperation gain becomes more significant when the difference between the power budgets is smaller.
  • Keywords
    Gaussian channels; cooperative communication; multi-access systems; radio transmitters; telecommunication links; Gaussian multiple access channel; MAC; coding scheme; noisy cooperative links; power allocation policy; transmitters; Convex functions; Educational institutions; Noise measurement; Resource management; Transmitters; Wireless communication; Wireless sensor networks; convex optimization; cooperation cost; multiple access channel; power allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6853641
  • Filename
    6853641