• DocumentCode
    2521877
  • Title

    Energy Efficient Two-Way AF Relay System with Multiple-Antennas

  • Author

    Kim, Hongjoon ; Lee, Namjeong ; Kang, Joonhyuk

  • Author_Institution
    Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea
  • fYear
    2011
  • fDate
    5-8 Sept. 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, we study an energy efficient two-way amplify-and-forward (AF) relay network equipped with multiple antennas at both sources and relay. To minimize the transmit power while satisfying quality of service (QoS) of both sources, transmit beamformers and receive combiners are designed with ZF-based relay processing matrix. Due to the non-convexity of the optimization problem, the original problem is decomposed into two simpler optimization problems which can be solved through iteration algorithm. As an alternative, eigen-beamforming based technique is also provided to reduce the complexity of the iterative solution at the expense of the power usage. Numerical results show that the proposed solution efficiently reduces the additional power usage of the system compared to the eigenbeamforming based technique while meeting the QoS constraint of each source. Moreover, we can see the proposed algorithm converges to the steady-state value in a reasonable number of iterations.
  • Keywords
    amplify and forward communication; antennas; concave programming; eigenvalues and eigenfunctions; iterative methods; matrix algebra; quality of service; QoS constraint; amplify-and-forward relay network; eigenbeamforming based technique; energy efficient two-way AF relay system; iterative solution; multiple antennas; nonconvexity; optimization problem; power usage; quality of service; receive combiners; transmit beamformers; zero-forcing-based relaying processing matrix; Array signal processing; Minimization; Optimization; Quality of service; Relays; Transceivers; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Fall), 2011 IEEE
  • Conference_Location
    San Francisco, CA
  • ISSN
    1090-3038
  • Print_ISBN
    978-1-4244-8328-0
  • Type

    conf

  • DOI
    10.1109/VETECF.2011.6093009
  • Filename
    6093009