• DocumentCode
    1779072
  • Title

    Worst-Case Based Robust Distributed Beamforming for Two-Way Relay Networks

  • Author

    Li Zhang ; Haihua Chen ; Guiling Sun

  • Author_Institution
    Coll. of Electron. Inf. & Opt. Eng., Nankai Univ., Tianjin, China
  • fYear
    2014
  • fDate
    18-20 Sept. 2014
  • Firstpage
    968
  • Lastpage
    973
  • Abstract
    In this paper, we consider a worst-case based robust beam forming approach for two-way relay networks that consist of two transceivers and multiple relays. Both the transceiver-to relay channels are assumed to have norm-bounded channel estimation errors. The worst case of the problem in a norm defined error set is optimized to guarantee the performance of the actual case. The resultant beam forming problem minimizes the worst-case total relay transmit power subject to the constraints of quality of service (QoS) of both receivers. We show that the robust beam forming problem can be formulated to a second-order-cone programming (SOCP) problem and can be solved efficiently using interior point method. Simulation results show that the proposed robust beam forming method guarantees no QoS outage at the price of 2 dB of total relay transmit power.
  • Keywords
    array signal processing; channel estimation; convex programming; quality of service; radio transceivers; relay networks (telecommunication); QoS constraints; SOCP problem; interior point method; multiple relays; norm defined error set; norm-bounded channel estimation errors; quality of service; second-order-cone programming; transceiver-to relay channels; two-way relay networks; worst-case based robust distributed beamforming approach; worst-case total relay transmit power; Array signal processing; Interference; Relay networks (telecommunications); Robustness; Signal to noise ratio; Transceivers; Distributed beamforming; robust; two-way relay networks; worst-case;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement, Computer, Communication and Control (IMCCC), 2014 Fourth International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4799-6574-8
  • Type

    conf

  • DOI
    10.1109/IMCCC.2014.204
  • Filename
    6995174