• DocumentCode
    1137252
  • Title

    Hard/soft detection with limited CSI for multi-hop systems

  • Author

    Malkawi, Mamoun ; Kim, Il-Min

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Queen´´s Univ., Kingston, ON, Canada
  • Volume
    8
  • Issue
    7
  • fYear
    2009
  • fDate
    7/1/2009 12:00:00 AM
  • Firstpage
    3435
  • Lastpage
    3441
  • Abstract
    We consider a single-branch, mobile multihop relaying (MMR) network with limited channel state information (CSI) at the destination. The considered CSI signalling strategy reduces the signalling overhead at each relay by at least 50%. We show that this significant overhead reduction comes at the expense of no performance loss at all when hard maximum likelihood detection is carried out at the destination. Furthermore, we consider the use of the MMR system with concatenated channel codes to carry out soft maximum a posteriori (MAP) detection, and demonstrate that with channel codes employed the optimum detection rule becomes prohibitively complex to implement. We propose two approximate soft MAP detection schemes to make the detection feasible for the system, and demonstrate that the performance is either almost identical to or slightly degraded from the ideal case with full CSI at the destination.
  • Keywords
    maximum likelihood detection; maximum likelihood estimation; mobile computing; satellite communication; channel state information; hard/soft detection; maximum a posteriori detection; maximum likelihood detection; mobile multihop relaying network; multihop systems; Base stations; Channel state information; Concatenated codes; Degradation; Detectors; Maximum likelihood detection; Performance loss; Relays; Spread spectrum communication; Wireless sensor networks; Amplify-and-forward protocol, MMR networks, limited CSI.;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/TWC.2009.081108
  • Filename
    5165304