• DocumentCode
    3253242
  • Title

    Optimal resource allocation for energy harvesting two-way relay systems with channel uncertainty

  • Author

    Ahmed, Ishtiaq ; Ikhlef, A. ; Ng, Derrick Wing Kwan ; Schober, Robert

  • Author_Institution
    Univ. of British Columbia, Vancouver, BC, Canada
  • fYear
    2013
  • fDate
    3-5 Dec. 2013
  • Firstpage
    345
  • Lastpage
    348
  • Abstract
    In this paper, we consider two-way decode-and-forward (DF) multiple access and time division broadcasting relaying protocols with energy harvesting (EH) nodes. We propose optimal offline joint energy and transmission time allocation schemes for the considered relaying protocols taking into account channel state uncertainty. The proposed joint energy and transmission time allocation schemes are obtained based on convex optimization problems and maximize the aggregate system throughput over a finite number of transmission intervals.We compare the optimal throughputs obtained for the multiple access and time division broadcasting protocols via simulations. Our results reveal that the proposed schemes are robust to imperfect channel state information and that multiple access broadcasting is less affected by low harvesting rate at the relay than time division broadcasting.
  • Keywords
    broadcasting; convex programming; decode and forward communication; energy harvesting; protocols; relay networks (telecommunication); resource allocation; time division multiple access; wireless channels; DF multiple access; EH node; channel state information; channel state uncertainty; convex optimization; energy harvesting; optimal resource allocation; time division broadcasting relaying protocol; transmission time allocation scheme; two-way decode-and-forward multiple access; two-way relay system; Channel estimation; Energy harvesting; Protocols; Relays; Resource management; Throughput; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE
  • Conference_Location
    Austin, TX
  • Type

    conf

  • DOI
    10.1109/GlobalSIP.2013.6736886
  • Filename
    6736886