• DocumentCode
    1997345
  • Title

    Estimation Feedback and Bandwidth Allocation with the Type-Based Multiple-Access in Wireless Sensor Networks

  • Author

    Wang, Xin ; Yang, Chenyang

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China
  • fYear
    2010
  • fDate
    6-10 Dec. 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, we consider the decentralized estimation over non-orthogonal multiple-access fading channels (MACs) with zero-mean channel coefficients in wireless sensor networks (WSNs). Using the type-based multiple-access (TBMA) with bandwidth extension transmission scheme, we introduce a low-complexity two-stage estimator and analyze its performance. It shows that the performance can be improved by allocating bandwidth among types, but the optimal bandwidth allocation scheme requires a priori information of the parameter being observed. We then introduce a broadcasting feedback method for the sensors to obtain the required information. This feedback scheme is more efficient and feasible than the channel state information (CSI) feedback over orthogonal MACs. Besides the estimation accuracy, we also evaluate the bandwidth efficiency of the proposed methods by introducing a metric as the bandwidth normalized performance gain in simulations. It shows that the proposed feedback and bandwidth allocation schemes outperform the TBMA with CSI feedback in non-orthogonal MACs and the optimal transmission scheme in orthogonal MACs at typical operating signal-to-noise ratio levels of the WSNs.
  • Keywords
    bandwidth allocation; fading channels; feedback; multi-access systems; wireless sensor networks; CSI feedback; TBMA; WSN; a priori information; bandwidth extension transmission scheme; broadcasting feedback method; channel state information feedback; decentralized estimation; estimation feedback; low-complexity two-stage estimator; nonorthogonal multiple access fading channels; optimal bandwidth allocation scheme; optimal transmission scheme; signal-to-noise ratio levels; type-based multiple access; wireless sensor networks; zero-mean channel coefficients; Bandwidth; Channel allocation; Maximum likelihood estimation; Sensors; Signal to noise ratio; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE
  • Conference_Location
    Miami, FL
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4244-5636-9
  • Electronic_ISBN
    1930-529X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2010.5683929
  • Filename
    5683929