• DocumentCode
    2658706
  • Title

    Graphical modeling and optimization of air interface standards for Software Defined Radios

  • Author

    Gul, Sufi Tabassum ; Moy, Christophe ; Palicot, Jacques

  • Author_Institution
    SCEE Res. Team, SUPELEC/IETR, Cesson-Sevigne
  • fYear
    2008
  • fDate
    23-24 Dec. 2008
  • Firstpage
    473
  • Lastpage
    479
  • Abstract
    Design of software defined radio (SDR) systems is very challenging because it is very difficult to design a system that preserves most of the properties of the ideal software radio while being realizable with current day technology. The complexity of such systems is the bottleneck and without a careful design approach, no feasible realization may appear. This article introduces a new methodology for selecting the common operators to design SDR. It aims at minimizing the resources use. An SDR consists of software components whose behavior can be changed by reconfiguration procedure. In a common operator design this change requires only an adjustment of certain parameters. In order to optimize the choice of these operators we first make an oriented graph that shows the interrelationship between various components of the system. Then, an architectural exploration extracts the common operators of a given multi-standard system. The need for optimization in software defined radios is underlined and the two selected techniques for the optimization are thoroughly described. The benefits of simulating annealing (SA) technique are exemplified by a comparison with exhaustive search strategies for optimization.
  • Keywords
    simulated annealing; software radio; air interface standards; exhaustive search strategies; graphical modeling; reconfiguration procedure; simulating annealing technique; software components; software defined radios; Broadband antennas; Design optimization; Hardware; Mobile communication; Receiving antennas; Simulated annealing; Software radio; Software standards; Switches; Transmitting antennas; Software Defined Radio; common operators; optimization; simulated annealing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multitopic Conference, 2008. INMIC 2008. IEEE International
  • Conference_Location
    Karachi
  • Print_ISBN
    978-1-4244-2823-6
  • Electronic_ISBN
    978-1-4244-2824-3
  • Type

    conf

  • DOI
    10.1109/INMIC.2008.4777785
  • Filename
    4777785