• DocumentCode
    630790
  • Title

    Efficient OOK/DS-CDMA detection threshold selection

  • Author

    Katselis, Dimitrios ; Fischione, Carlo ; Hjalmarsson, Hakan

  • Author_Institution
    ACCESS Linnaeus Center, KTH R. Inst. of Technol., Stockholm, Sweden
  • fYear
    2013
  • fDate
    17-19 June 2013
  • Firstpage
    3523
  • Lastpage
    3528
  • Abstract
    A major constraint in deployments of wireless sensor networks (WSNs) is the energy consumption related to the battery lifetime of the network nodes. To this end, power efficient digital modulation techniques such as On-Off keying (OOK) are highly attractive. However, the OOK detection thresholds, namely the thresholds against which the received signals are compared to detect which bit is transmitted, must be carefully selected to minimize the bit error rate. This is challenging to accomplish in resource-limited nodes with constrained computational capabilities. In this paper, the system scenario considers simultaneously transmitting nodes in Rayleigh fading conditions. Various iterative algorithms to numerically select the detection thresholds are established. Convergence analysis accompanies these algorithms. Numerical simulations are provided to support the derived results and to compare the proposed algorithms. It is concluded that OOK modulation is beneficial in resource constrained WSNs provided that efficient optimization algorithms are employed for the threshold selection.
  • Keywords
    amplitude shift keying; code division multiple access; error statistics; telecommunication power supplies; wireless sensor networks; OOK detection thresholds; OOK/DS-CDMA detection threshold selection; battery lifetime; bit error rate; energy consumption; network nodes; on-off keying; power efficient digital modulation techniques; wireless sensor networks; Approximation algorithms; Approximation methods; Convergence; Fading; Receivers; Transmitters; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2013
  • Conference_Location
    Washington, DC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-0177-7
  • Type

    conf

  • DOI
    10.1109/ACC.2013.6580376
  • Filename
    6580376