• DocumentCode
    172785
  • Title

    Description of a cognitive radio testbed based on USRP platforms and CogWave

  • Author

    Le Nir, V. ; Scheers, B.

  • Author_Institution
    Dept. CISS 30, R. Mil. Acad., Brussels, Belgium
  • fYear
    2014
  • fDate
    2-4 June 2014
  • Firstpage
    514
  • Lastpage
    519
  • Abstract
    Today, many software defined radio (SDR) platforms are commercially available as off-the-shelf products at a very reasonable price. The concept of cognitive radio (CR) is to have a network of SDRs which can autoconfigure and autonomously change its parameters (waveform, frequency, bandwidth, power) according to the user needs and the electromagnetic environ-ment. CogWave is an open-source software framework aiming at developing CR waveforms. Multiple waveforms have been implemented in CogWave, such as the multichannel DAA-OFDM waveform, the DADS waveform, and GNU Radio waveforms. CogWave provides the means to implement different CR waveforms and to develop rules to switch between different CR waveforms during run-time according to the user needs and the electromagnetic environment. A description of a CR testbed based on USRP platforms and the CogWave framework is given. In the scenario, a jammer perturbs the data transmission between two CR nodes. Results show that when the throughput drops under a predifined threshold, the CR nodes are able to switch from one waveform to another waveform while maintaining communication.
  • Keywords
    cognitive radio; software radio; CogWave; SDR platforms; USRP platforms; cognitive radio testbed; electromagnetic environment; open-source software framework; software defined radio platforms; Bit error rate; Jamming; OFDM; Optimized production technology; Switches; Time-frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM), 2014 9th International Conference on
  • Conference_Location
    Oulu
  • Type

    conf

  • Filename
    6849738