• DocumentCode
    259844
  • Title

    Multi-channel collaborative spectrum sensing in cognitive radio networks

  • Author

    Althunibat, Saud ; Tung Manh Vuong ; Granelli, Fabrizio

  • Author_Institution
    DISI, Univ. of Trento, Trento, Italy
  • fYear
    2014
  • fDate
    1-3 Dec. 2014
  • Firstpage
    234
  • Lastpage
    238
  • Abstract
    Collaborative spectrum sensing (CSS) consumes a significant amount of energy during sensing and reporting the sensing results. Such an issue becomes a challenge in the multi-channel systems. In this paper we propose two different energy-efficient CSS schemes, namely, Reduced-Energy Sensing Scheme (RESS) and Reduced-Energy Reporting Scheme (RERS). In RESS, the channels that have been identified as occupied will not be sensed for a number of next sensing rounds, while in RERS, only the sensing results of a subset of the sensed channels will be reported channels. In both schemes, the energy and time resources expended in CSS will be saved. Moreover, the saved time will be exploited in data transmission, improving the throughput. Simulation results show a significant improvement in the energy efficiency of multi-channel CSS.
  • Keywords
    cognitive radio; data communication; radio spectrum management; signal detection; telecommunication power management; RERS; RESS; cognitive radio networks; data transmission; energy-efficient CSS schemes; multichannel collaborative spectrum sensing; multichannel systems; reduced-energy reporting scheme; reduced-energy sensing scheme; Cascading style sheets; Cognitive radio; Data communication; Energy consumption; Sensors; Simulation; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2014 IEEE 19th International Workshop on
  • Conference_Location
    Athens
  • Type

    conf

  • DOI
    10.1109/CAMAD.2014.7033241
  • Filename
    7033241