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Performance Modeling of Finite-Source Cognitive Radio Networks Using Simulation

  • Janos Sztrik
  • Tamás Bérczes
  • Hamza Nemouchi
  • Agassi Melikov
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 678)

Abstract

This paper deals with performance modeling of radio frequency licensing. Licensed users (Primary Users - PUs) and normal users (Secondary Users - SUs) are considered. The main idea, is that the SUs are able to access to the available non-licensed radio frequencies.

A finite-source retrial queueing model with two non-independent frequency bands (considered as service units) is proposed for the performance evaluation of the system. A service unit with a priority queue and another service unit with an orbit are assigned to the PUs ans SUs, respectively. The users are classified into two classes: the PUs have got a licensed frequency, while the SUs have got a frequency band, too but it suffers from the overloading. We assume that during the service of the non-overloaded band the PUs have preemptive priority over SUs. The involved inter-event times are supposed to be independent, hypo-exponentially, hyper-exponentially, lognormal distributed random variables, respectively, depending on the different cases during simulation.

The novelty of this work is that we create a new model to analyze the effect of distribution of inter-event time on the mean and variance of the response time of the PUs and SUs.

As the validation of the simulation program a model with exponentially distributed inter-event times is considered in which case a continuous time Markov chain is introduced and by the help of MOSEL (MOdeling Specification and Evaluation Language) tool the main performance measures of the system are derived. In several combinations of the distribution of the involved random variables we compare the effect of their distribution on the first and second moments of the response times illustrating in different figures.

Keywords

Finite source queuing systems Simulation Cognitive radio networks Performance evaluation 

Notes

Acknowledgments

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

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Janos Sztrik
    • 1
  • Tamás Bérczes
    • 1
  • Hamza Nemouchi
    • 1
  • Agassi Melikov
    • 2
  1. 1.Faculty of InformaticsUniversity of DebrecenDebrecenHungary
  2. 2.Azerbaijan National Academy of SciencesBakuAzerbaijan

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