• DocumentCode
    1981600
  • Title

    Energy efficient power control and beamforming in multi-antenna enabled femtocells

  • Author

    Manosha, K. B. Shashika ; Joshi, S. ; Rajatheva, Nandana ; Latva-aho, Matti

  • Author_Institution
    Centre for Wireless Commun., Univ. of Oulu, Oulu, Finland
  • fYear
    2012
  • fDate
    3-7 Dec. 2012
  • Firstpage
    3472
  • Lastpage
    3477
  • Abstract
    Energy efficient beamforming and power control problem is considered for a MISO (multiple input single output) network. We consider an active femtocell within the coverage area of a macrocell. The femto base station is equipped with multi antennas and the users are considered to be single antenna users. A beamforming and power control problem is formulated in order to minimize the energy consumption per bit in the downlink transmission in the femtocell. The objective function is introduced as “sum power/sum rate” which has the unit J/bit to measure the energy efficiency of the network. The problem is non-convex. We introduce a novel method to solve this problem with an approximation. We show that the problem can be solved with convex optimization techniques which has more practical interest even though the solution is suboptimal. In order to measure the energy efficiency we apply an existing power model which considers the total energy consumption of a base station. Thus we expect that our solution indicates realistic energy consumption measurements. Then we introduce a beamforming and power control algorithm which minimizes the energy consumption per bit transmission. Finally, the behavior of the objective function is observed in different antenna configurations by varying the user density in different channel environments.
  • Keywords
    antenna arrays; array signal processing; convex programming; energy conservation; energy consumption; femtocellular radio; power control; telecommunication control; wireless channels; MISO; active femtocell; antenna configurations; antenna users; bit transmission; channel environments; convex optimization techniques; coverage area; downlink transmission; energy consumption; energy efficiency; energy efficient beamforming; energy efficient power control; femto base station; macrocell; multiantenna enabled femtocells; multiple input single output network; objective function; power model; user density;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Communications Conference (GLOBECOM), 2012 IEEE
  • Conference_Location
    Anaheim, CA
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4673-0920-2
  • Electronic_ISBN
    1930-529X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2012.6503652
  • Filename
    6503652