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Performance Simulation of Non-reliable Servers in Finite-Source Cognitive Radio Networks with Collision

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Information Technologies and Mathematical Modelling. Queueing Theory and Applications (ITMM 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 800))

Abstract

This paper introduces a finite-source retrial queueing system which models cognitive radio networks. We assume two non-independent frequency bands servicing two classes of users: Primary Users (PUs) and Secondary Users (SUs). A service unit with a priority queue and another service unit with an orbit are assigned to the PUs and SUs, respectively.

In this work, we focus on the non-reliability of the servers and the collisions at the secondary servers. The primary and secondary servers are subject to random breakdowns and repairs. A collision is introduced at the retrial part of the cognitive radio network. This conflict invokes the interruption of a servicing packet when a new arriving call requests the server unit.

The novelty of the investigation is the non-reliability of servers and the inclusion of conflicts at the secondary server.

By the use of simulation, we analyze the effect of the non-reliability of the servers on the mean response time of the secondary users.

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Acknowledgments

The work of Nemouchi H. was supported by the Stipendium Hungaricum Scholarship.

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Authors and Affiliations

  1. Faculty of Informatics, University of Debrecen, Debrecen, Hungary

    Hamza Nemouchi & Janos Sztrik

Authors
  1. Hamza Nemouchi
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  2. Janos Sztrik
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Corresponding author

Correspondence to Janos Sztrik .

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Editors and Affiliations

  1. Belarusian State University, Minsk, Belarus

    Alexander Dudin

  2. Tomsk State University, Tomsk, Russia

    Anatoly Nazarov

  3. Kazan National Research Technological University, Kazan, Russia

    Alexander Kirpichnikov

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Nemouchi, H., Sztrik, J. (2017). Performance Simulation of Non-reliable Servers in Finite-Source Cognitive Radio Networks with Collision. In: Dudin, A., Nazarov, A., Kirpichnikov, A. (eds) Information Technologies and Mathematical Modelling. Queueing Theory and Applications. ITMM 2017. Communications in Computer and Information Science, vol 800. Springer, Cham. https://doi.org/10.1007/978-3-319-68069-9_16

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  • DOI: https://doi.org/10.1007/978-3-319-68069-9_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68068-2

  • Online ISBN: 978-3-319-68069-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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