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Analysis of secondary user performance in cognitive radio networks with reactive spectrum handoff

Author

Listed:
  • Osama Salameh

    (Arab American University
    Ghent University)

  • Koen De Turck

    (CentraleSupélec)

  • Herwig Bruneel

    (Ghent University)

  • Chris Blondia

    (University of Antwerp)

  • Sabine Wittevrongel

    (Ghent University)

Abstract

Cognitive radio networks use dynamic spectrum access of secondary users (SUs) to deal with the problem of radio spectrum scarcity . In this paper, we investigate the SU performance in cognitive radio networks with reactive-decision spectrum handoff. During transmission, a SU may get interrupted several times due to the arrival of primary (licensed) users. After each interruption in the reactive spectrum handoff, the SU performs spectrum sensing to determine an idle channel for retransmission. We develop two continuous-time Markov chain models with and without an absorbing state to study the impact of system parameters such as sensing time and sensing room size on several SU performance measures. These measures include the mean delay of a SU, the variance of the SU delay, the SU interruption probability, the average number of interruptions that a SU experiences, the probability of a SU getting discarded from the system after an interruption and the SU blocking probability upon arrival.

Suggested Citation

  • Osama Salameh & Koen De Turck & Herwig Bruneel & Chris Blondia & Sabine Wittevrongel, 2017. "Analysis of secondary user performance in cognitive radio networks with reactive spectrum handoff," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 65(3), pages 539-550, July.
    • Handle: RePEc:spr:telsys:v:65:y:2017:i:3:d:10.1007_s11235-016-0250-7
    DOI: 10.1007/s11235-016-0250-7
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    References listed on IDEAS

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    1. Ronald W. Wolff, 1982. "Poisson Arrivals See Time Averages," Operations Research, INFORMS, vol. 30(2), pages 223-231, April.
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    Cited by:

    1. Jain, Madhu & Dhibar, Sibasish, 2023. "ANFIS and metaheuristic optimization for strategic joining policy with re-attempt and vacation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 211(C), pages 57-84.
    2. Tuan Phung-Duc & Kohei Akutsu & Ken’ichi Kawanishi & Osama Salameh & Sabine Wittevrongel, 2022. "Queueing models for cognitive wireless networks with sensing time of secondary users," Annals of Operations Research, Springer, vol. 310(2), pages 641-660, March.
    3. K. M. Mridula & P. M. Ameer, 2019. "On the fundamental limit to the use of cognitive radio in underwater acoustic sensor networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 71(2), pages 303-308, June.

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