• DocumentCode
    3375611
  • Title

    BER and power consumption estimation based on hierarchical modeling of a 2.4 GHz power amplifier

  • Author

    Silva, Lucas Alves da ; Tatinian, William ; Jacquemod, Gilles

  • Author_Institution
    LEAT, UNS, Sophia Antipolis, France
  • fYear
    2010
  • fDate
    23-24 Sept. 2010
  • Firstpage
    31
  • Lastpage
    35
  • Abstract
    This paper presents a power consumption estimation methodology for wireless devices, consisting in hierarchical modeling of specific AMS-RF IP (Intellectual Properties). It provides accurate energy consumption models for specific devices, based on simulations and/or analytical expressions extraction. Thus, within a unified simulation environment, full system´s characteristics such as BER (bit-error rate), PER (packet-error rate) and DC power consumption can be evaluated in terms of block specifications (in this case, the RF power amplifier). It can be seen that the platform provides realistic accuracy with minimal electrical information, while maintaining acceptable simulation times. Also, the co-simulation advantages and drawbacks of coupling these power consumption models with network analysis are discussed.
  • Keywords
    UHF power amplifiers; error statistics; network analysis; power consumption; AMS-RF IP; BER; DC power consumption estimation methodology; PER; RF power amplifier; analytical expression extraction; bit-error rate; frequency 2.4 GHz; full system characteristic; intellectual property; network analysis; packet-error rate; wireless device; Analytical models; Energy consumption; Integrated circuit modeling; Power amplifiers; Power demand; Radio frequency; Solid modeling; AMS IP; BER; RF; SystemC; hierarchical library; power amplifier; power estimation; system design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Behavioral Modeling and Simulation Conference (BMAS), 2010 IEEE International
  • Conference_Location
    San Jose, CA
  • ISSN
    2160-3804
  • Print_ISBN
    978-1-4244-8996-1
  • Type

    conf

  • DOI
    10.1109/BMAS.2010.6156594
  • Filename
    6156594