• DocumentCode
    3037340
  • Title

    Signaling With Imperfect Channel State Information: A Battery Power Efficiency Comparison

  • Author

    Qu, Fengzhong ; Duan, Dongliang ; Yang, Liuqing ; Swami, Ananthram

  • Author_Institution
    Department of ECE, University of Florida, Gainesville, FL 32611. jimqufz@ufl.edu
  • fYear
    2007
  • fDate
    29-31 Oct. 2007
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Due to complexity considerations, pulse-based modulations such as pulse position modulation (PPM) and on-off keying (OOK) are well suited for wireless sensor networks (WSNs) since they provide the possibility of carrier-less signaling and, more importantly, non-coherent reception bypassing channel estimation at the receiver. In this paper, we compare PPM and OOK in terms of their battery power efficiencies (BPE), using a nonlinear battery model, and under the same bandwidth efficiency and cutoff rate constraints. Cutoff rate is employed as our comparison criterion because it leads to a tractable analysis that is often impossible through direct evaluation of random coding exponent or capacity. In addition, cutoff rate gives a universal expression for both coherent and non-coherent detection by simply setting different channel state information (CSI) qualities. Our system model integrates typical WSN transmission and reception modules with realistic nonlinear battery models. Circuit power consumption, DC/DC converter efficiency and power amplifier efficiency are also taken into consideration. Our analytical results characterize the signal-to-noise ratio (SNR) - cutoff rate - CSI region where PPM (OOK) is more power efficient than OOK (PPM). We provide an interpretation in terms of transmission range and symbol set size. Numerical results verify the analysis.
  • Keywords
    Bandwidth; Batteries; Channel estimation; Channel state information; Circuits; DC-DC power converters; Energy consumption; Power system modeling; Pulse modulation; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Military Communications Conference, 2007. MILCOM 2007. IEEE
  • Conference_Location
    Orlando, FL, USA
  • Print_ISBN
    978-1-4244-1513-7
  • Electronic_ISBN
    978-1-4244-1513-7
  • Type

    conf

  • DOI
    10.1109/MILCOM.2007.4454910
  • Filename
    4454910