• DocumentCode
    2026465
  • Title

    Optimization of spectrum sensing schemes for multi-mini slots distribution

  • Author

    Wu, Zhijie ; Zhao, Qi

  • Author_Institution
    Sch. of Electron. Inf. Eng., Beihang Univ., Beijing, China
  • fYear
    2011
  • fDate
    10-11 June 2011
  • Firstpage
    153
  • Lastpage
    157
  • Abstract
    Spectrum sensing in cognitive radio network is deeply discussed and rationally classified at time diversity channel. Furthermore, a uniform model for multi-mini slots distribution is proposed, in which a consecutive sensing slot is divided into several unequal length mini slots that are located symmetrically in a medium access control frame. Based on these, for a given probability of detection, there are two types of optimal schemes. The first one is designed to minimize the probability of false alarm, the other one is interested in maximizing the achievable throughput for the secondary network. Both of them are implemented by arranging the proportions of every mini slot in length for a limited total sensing time. The numerical simulation results and analysis perfectly supports the models and theoretical conclusions.
  • Keywords
    cognitive radio; numerical analysis; optimisation; probability; cognitive radio network; consecutive sensing slot; medium access control frame; multimini slot distribution; numerical simulation; probability of detection; probability of false alarm; spectrum sensing schemes; time diversity channel; Cognitive radio; Computational modeling; Fading; Noise; Sensors; Simulation; Throughput; Cognitive radio; maximum throughput; multi-mini slots distribution; spectrum sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2011 IEEE 16th International Workshop on
  • Conference_Location
    Kyoto
  • Print_ISBN
    978-1-61284-281-3
  • Electronic_ISBN
    978-1-61284-280-6
  • Type

    conf

  • DOI
    10.1109/CAMAD.2011.5941106
  • Filename
    5941106