• DocumentCode
    1512022
  • Title

    Energy Efficient Wireless Multicasting

  • Author

    Han, Tao ; Ansari, Nirwan

  • Author_Institution
    Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
  • Volume
    15
  • Issue
    6
  • fYear
    2011
  • fDate
    6/1/2011 12:00:00 AM
  • Firstpage
    620
  • Lastpage
    622
  • Abstract
    This letter proposes an energy-efficient wireless multicasting scheme in which the base station (BS) and the mobile users cooperate to reduce the total power consumption in wireless multicasting. Minimizing the power consumption under the scheme is an NP-hard problem. The gradient guided approximation algorithm is thus proposed to achieve low computational complexity. The proposed energy-efficient wireless multicasting scheme consumes less energy than other multicasting schemes without cooperation. The energy savings are validated through well designed simulations.
  • Keywords
    approximation theory; computational complexity; cooperative communication; gradient methods; multicast communication; NP-hard problem; base station; computational complexity; cooperative communications; energy-efficient wireless multicasting scheme; gradient guided approximation algorithm; mobile users; power consumption reduction; Array signal processing; Power demand; Receiving antennas; Relays; Signal to noise ratio; Transmitting antennas; Wireless communication; Energy efficient; beamforming; cooperative communications; wireless multicasting;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2011.050311.110077
  • Filename
    5764931