• DocumentCode
    3105761
  • Title

    Transmission policies for asymmetric interference channels with energy harvesting nodes

  • Author

    Tutuncuoglu, Kaya ; Yener, Aylin

  • Author_Institution
    Electr. Eng. Dept., Pennsylvania State Univ., University Park, PA, USA
  • fYear
    2011
  • fDate
    13-16 Dec. 2011
  • Firstpage
    197
  • Lastpage
    200
  • Abstract
    Energy harvesting terminals are emerging as favorable alternatives to conventional terminals for wireless (sensor) networking due to environmental concerns and their potential to extend the network lifetime. Stochastic availability of energy for such networks calls for new network design insights on power control and scheduling, particularly in multi-user settings with interference. This paper considers an asymmetric interference channel with two transmitters and two receivers, and seeks optimal power policies to maximize sum capacity in an energy harvesting setting. It is shown that in the asymmetric interference case, the optimal sum capacity for the channel can be found by iteratively employing single-user optimizations, and the corresponding single-user problems are solved using modified water-filling algorithms such as directional water-filling and generalized water-filling. The performance of the proposed iterative algorithm is demonstrated through numerical results.
  • Keywords
    energy harvesting; interference (signal); iterative methods; stochastic processes; wireless channels; wireless sensor networks; asymmetric interference case; asymmetric interference channels; directional water-filling; energy harvesting nodes; energy harvesting terminals; environmental concerns; generalized water-filling; iterative algorithm; multiuser settings; network design insights; network lifetime; optimal power policies; optimal sum capacity; power control; scheduling; single-user optimizations; stochastic availability; transmission policies; water-filling algorithms; wireless sensor networking; Energy harvesting; Interference channels; Iterative methods; Resource management; Transmitters; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2011 4th IEEE International Workshop on
  • Conference_Location
    San Juan
  • Print_ISBN
    978-1-4577-2104-5
  • Type

    conf

  • DOI
    10.1109/CAMSAP.2011.6135980
  • Filename
    6135980