• DocumentCode
    2503676
  • Title

    LTE RF subsystem power consumption modeling

  • Author

    Musiige, Deogratius ; Vincent, Laulagnet ; Anton, Francois ; Mioc, Darka

  • Author_Institution
    Renesas Mobile Eur., Copenhagen, Denmark
  • fYear
    2012
  • fDate
    2-5 Oct. 2012
  • Firstpage
    645
  • Lastpage
    649
  • Abstract
    This paper presents a new power consumption emulation model, for all possible scenarios of the RF subsystem, when transmitting a LTE signal. The model takes the logical interface parameters, Tx power, carrier frequency and bandwidth between the baseband and RF subsystem as inputs to compute the power consumption. An analysis of modeling approaches was conducted and the modeling approach with the least sum of squared errors is used to compute the emulation model. The neural networks applying the Pseudo-Gauss Newton algorithm for optimization proved to have the least sum of squared errors. This approach was validated against a real life scenario with a relative error of 5.77%.
  • Keywords
    Gaussian processes; Long Term Evolution; Newton method; neural nets; optimisation; power consumption; telecommunication computing; LTE RF subsystem power consumption modeling; logical interface parameter; neural network; optimization; power consumption emulation model; pseudo-Gauss Newton algorithm; squared error; Bandwidth; Computational modeling; Emulation; Neural networks; Power demand; Power measurement; Radio frequency; Baseband; Emulation; LTE; Modem platform; RF subsystem; Tx power; logical interface; neural networks; system Level;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (GCCE), 2012 IEEE 1st Global Conference on
  • Conference_Location
    Tokyo
  • Print_ISBN
    978-1-4673-1500-5
  • Type

    conf

  • DOI
    10.1109/GCCE.2012.6379941
  • Filename
    6379941