• DocumentCode
    580494
  • Title

    Flexible front-end processing for software defined radio applications using application specific instruction-set processors

  • Author

    Schmidt-Knorreck, C. ; Pacalet, R. ; Minwegen, A. ; Deidersen, U. ; Kempf, T. ; Knopp, R. ; Ascheid, G.

  • Author_Institution
    Mobile Commun. Dept., EURECOM, Sophia Antipolis, France
  • fYear
    2012
  • fDate
    23-25 Oct. 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    High computational demands of today´s wireless communication standards require the design of highly flexible Software Defined Radio (SDR) platforms like the OpenAirInter-face ExpressMIMO platform. A DSP engine of major importance is the Front-End Processor (FEP) which deals with the different air-interface operations at the transceiver side. In this paper we propose an Application Specific Instruction-Set Processor (ASIP) architecture for front-end processing and compare it to a programmable DSP engine as well as to other ASIP solutions. For design comparison we mainly focus on architectural differences and the runtime performance in terms of processing time. The synthesis results are provided for different target technologies.
  • Keywords
    instruction sets; radio transceivers; software radio; system-on-chip; telecommunication computing; ASIP architecture; FEP; SDR platforms; application specific instruction-set processors; architectural differences; computational demands; flexible front-end processing; front-end processor; open air interface express MIMO platform; processing time; programmable DSP engine; runtime performance; software defined radio applications; target technologies; wireless communication standards; Computer architecture; Digital signal processing; Engines; OFDM; Program processors; Standards; Vectors; ASIP; SDR; flexible HW platform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design and Architectures for Signal and Image Processing (DASIP), 2012 Conference on
  • Conference_Location
    Karlsruhe
  • Print_ISBN
    978-1-4673-2089-4
  • Electronic_ISBN
    978-2-9539987-4-0
  • Type

    conf

  • Filename
    6385365