• DocumentCode
    1154958
  • Title

    On the Design of Optimal Training Sequence for Bi-Directional Relay Networks

  • Author

    Pham, The-Hanh ; Liang, Ying-Chang ; Nallanathan, A. ; Krishna, Garg Hari

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
  • Volume
    16
  • Issue
    3
  • fYear
    2009
  • fDate
    3/1/2009 12:00:00 AM
  • Firstpage
    200
  • Lastpage
    203
  • Abstract
    In this letter, the problem of training sequence design in a bi-directional relay network is investigated. The two nodes, Tx1 and Tx2, communicate with each other via a relay (RL). The RL receives the signals that are transmitted simultaneously from both nodes and then broadcasts the superposition back to the two nodes. Single carrier cyclic prefix (SCCP) is deployed in the transmission from the two nodes and the RL as well for combating intersymbol interference (ISI). We are interested in the channel estimation problem in this scenario. We propose a design of training sequences from two nodes to minimize the mean-square error (MSE) of the channel estimation according to zero forcing (ZF) criterion. We do not separate the links between each node to RL but incorporate them into the composite channels. Simulation results show that our design performance suffers only 1-dB loss in terms of bit-error rate (BER) as compared to the case with perfect channel information.
  • Keywords
    channel estimation; intersymbol interference; mean square error methods; relays; bidirectional relay networks; channel estimation problem; intersymbol interference; mean-square error; optimal training sequence; single carrier cyclic prefix; zero forcing criterion; Bidirectional control; Bit error rate; Broadcasting; Channel estimation; Intersymbol interference; Peak to average power ratio; Performance loss; Relays; Signal design; Time division multiplexing; Bi-directional relay networks; Zadoff–Chu sequences; channel estimation; training signal design;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2008.2008949
  • Filename
    4781947