• DocumentCode
    1265894
  • Title

    Charge-based analytical model for the evaluation of power consumption in submicron CMOS buffers

  • Author

    Rosselló, José Luis ; Segura, Jaume

  • Author_Institution
    Dept. de Fisica, Univ. de les Illes Baleares, Palma de Mallorca, Spain
  • Volume
    21
  • Issue
    4
  • fYear
    2002
  • fDate
    4/1/2002 12:00:00 AM
  • Firstpage
    433
  • Lastpage
    448
  • Abstract
    The authors present an accurate analytical method for analyzing the power consumption in CMOS buffers. It is derived from the charge transferred through the circuit and makes use of the physically based MM9 MOSFET model (Velghe et al., 1994), (Foty et al., 1997) as well as a modified Sakurai alpha-power law model. The resulting analytical model accounts for the effects of input slew time, device sizes, carrier velocity saturation effects, input-to-output coupling capacitance, output load, and temperature. Results are compared to HSPICE simulations (level 50) and to other models previously published considering a large set of parameters for a 0.18 and 0.35 μm technologies, showing significant improvements
  • Keywords
    CMOS logic circuits; buffer circuits; capacitance; carrier mobility; circuit simulation; integrated circuit modelling; logic simulation; low-power electronics; 0.18 micron; 0.35 micron; carrier velocity saturation effects; charge-based analytical model; device sizes; input slew time; input-to-output coupling capacitance; modified Sakurai alpha-power law model; output load; physically based MM9 MOSFET model; power consumption; submicron CMOS buffers; temperature; Analytical models; Capacitance; Conductivity; Doping; Energy consumption; MOS devices; MOSFET circuits; Semiconductor device modeling; Threshold voltage; Voltage control;
  • fLanguage
    English
  • Journal_Title
    Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0070
  • Type

    jour

  • DOI
    10.1109/43.992767
  • Filename
    992767