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Simulation Analysis in Cognitive Radio Networks with Unreliability and Abandonment

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Information Technologies and Mathematical Modelling. Queueing Theory and Applications (ITMM 2020)

Abstract

The current paper presents a Cognitive Radio Network with impatient customers and unreliable servers by the help of a finite-source retrial queueing system. We consider two types of customers (primary and secondary) assigned to two interconnected frequency bands. A first frequency band with a priority queue and a second frequency band with an orbit are reserved for Primary Users (PUs) and Secondary Users (SUs), respectively. If the servers are busy, both customers (licensed and unlicensed) enter either the queue or orbit. Before they enter orbit, the secondary customers receive a random retrial time according to the exponential distribution, i.e. the waiting time before the next retry. Unlicensed users (impatient) are obliged to leave the system as soon as their total waiting time exceeds a random maximum waiting time. It should be noted, that the secondary service unit of our system is subject to random breakdowns and repairs. The novelty of this work consists in the investigation of the abandonment and secondary server unreliability impact on various performance measures of the system (Cognitive Radio Network), such as the mean response and waiting time of users, the probability of abandonment of SU, etc. Several figures illustrate the problem in question through simulation.

The research work of János Sztrik is supported by the EFOP-3.6.1-16-2016-00022 project. The project is co-financed by the European Union and the European Social Fund. Mohamed Hedi Zaghouani is supported by the Stipendium Hungaricum Scholarship.

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References

  1. Akyildiz, I.F., Lee, W.Y., Vuran, M.C., Mohanty, S.: Next generation/dynamic spectrum access/cognitive radio wireless networks: a survey. Comput. Netw. 50(13), 2127–2159 (2006)

    Article  Google Scholar 

  2. Almási, B., Bérczes, T., Kuki, A., Sztrik, J., Wang, J.: Performance modeling of finite-source cognitive radio networks. Acta Cybernetica 22(3), 617–631 (2016)

    Article  MathSciNet  Google Scholar 

  3. Carlstein, E., et al.: The use of subseries values for estimating the variance of a general statistic from a stationary sequence. Ann. Stat. 14(3), 1171–1179 (1986)

    Article  MathSciNet  Google Scholar 

  4. Chen, E.J., Kelton, W.D.: A procedure for generating batch-means confidence intervals for simulation. Checking independence and normality. Simulation 83(10), 683–694 (2007)

    Article  Google Scholar 

  5. Fishman, G.S., Yarberry, L.S.: An implementation of the batch means method. FORMS J. Comput. 9(3), 296–310 (1997)

    MATH  Google Scholar 

  6. Gunawardena, S., Zhuang, W.: Modeling and Analysis of Voice and Data in Cognitive Radio Networks. Springer, Heidelberg (2014)

    Book  Google Scholar 

  7. He, Q.M., Zhang, H., Ye, Q.: An M/PH/K queue with constant impatient time. Math. Methods Oper. Res. 87(1), 139–168 (2018)

    Article  MathSciNet  Google Scholar 

  8. Law, A.M., Kelton, W.D.: Simulation Modeling and Analysis, vol. 3. McGraw-Hill, New York (2000)

    MATH  Google Scholar 

  9. Nemouchi, H., Sztrik, J.: Performance simulation of finite-source cognitive radio networks with servers subjects to breakdowns and repairs. J. Math. Sci. 237(5), 702–711 (2019)

    Article  MathSciNet  Google Scholar 

  10. Nemouchi, H., Sztrik, J.: Performance evaluation of finite-source cognitive radio networks with collision using simulation. In: 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom), pp. 000127–000131. IEEE (2017)

    Google Scholar 

  11. Nemouchi, H., Sztrik, J.: Performance evaluation of finite-source cognitive radio networks with non-reliable services using simulation. Annales Mathematicae et Informaticae, vol. 49, pp. 109–122. Eszterházy Károly University Institute of Mathematics and Informatics (2018)

    Google Scholar 

  12. Nemouchi, H., Sztrik, J.: Performance simulation of non-reliable servers in finite-source cognitive radio networks with collision. In: Dudin, A., Nazarov, A., Kirpichnikov, A. (eds.) ITMM 2017. CCIS, vol. 800, pp. 194–203. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-68069-9_16

    Chapter  Google Scholar 

  13. Paluncic, F., Alfa, A.S., Maharaj, B.T., Tsimba, H.M.: Queueing models for cognitive radio networks: a survey. IEEE Access 6, 50801–50823 (2018)

    Article  Google Scholar 

  14. Sztrik, J., Almási, B., Roszik, J.: Heterogeneous finite-source retrial queues with server subject to breakdowns and repairs. J. Math. Sci. 132(5), 677–685 (2006)

    Article  MathSciNet  Google Scholar 

  15. Van Do, T., Do, N.H., Horváth, Á., Wang, J.: Modelling opportunistic spectrum renting in mobile cellular networks. J. Netw. Comput. Appl. 52, 129–138 (2015)

    Article  Google Scholar 

  16. Wang, J., Abouee Mehrizi, H., Baron, O., Berman, O.: Staffing Tandem Queues with Impatient Customers-Application in Financial Service Operations. Rotman School of Management Working Paper 3116815 (2018)

    Google Scholar 

  17. Wang, L., Wang, C., Adachi, F.: Load-balancing spectrum decision for cognitive radio networks. IEEE J. Sel. Areas Commun. 29(4), 757–769 (2011)

    Article  Google Scholar 

  18. Weiss, T.A., Jondral, F.K.: Spectrum pooling: an innovative strategy for the enhancement of spectrum efficiency. IEEE Commun. Mag. 42(3), S8–14 (2004)

    Article  Google Scholar 

  19. Wong, E.W., Foh, C.H.: Analysis of cognitive radio spectrum access with finite user population. IEEE Commun. Lett. 13(5), 294–296 (2009)

    Article  Google Scholar 

  20. Zaghouani, M.H., Sztrik, J., Uka, A.: Simulation of the performance of Cognitive Radio Networks with unreliable servers. Annales Mathematicae et Informaticae (2020)

    Google Scholar 

  21. Zekavat, S.A., Li, X.: User-central wireless system: ultimate dynamic channel allocation. In: First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks. DySPAN, pp. 82–87. IEEE (2005)

    Google Scholar 

  22. Kuki, A., Bérczes, T., Tóth, Á., Sztrik, J.: Numerical analysis of finite source Markov retrial system with non-reliable server, collision, and impatient customers. Annales Mathematicae et Informaticae 51, 53–63 (2020)

    Article  MathSciNet  Google Scholar 

  23. Zaghouani, M.H., Sztrik, J.: Performance evaluation of finite-source Cognitive Radio Networks with impatient customers. Annales Mathematicae et Informaticae 51, 89–99 (2020)

    Article  MathSciNet  Google Scholar 

  24. Zaghouani, M.H., Sztrik, J.: Performance simulation of finite-source Cognitive Radio Networks with impatient calls in the orbit, ISSPSM (2020)

    Google Scholar 

  25. Sztik, J., Zaghouani, M.H., Uka, A.: Reliability analysis of cognitive radio networks. In: 18th International Conference named after A.F. Terpugov. Information Technologies and Mathematical Modelling ITMM-2019, Saratov, Russia (2019)

    Google Scholar 

  26. Nemouchi, H., Zaghouani, M.H., Sztrik, J.: The impact of servers reliability on the characteristics of cognitive radio systems. In: The 1st Conference on Information Technology and Data Science CITDS (2020)

    Google Scholar 

  27. Nazarov, A., Sztrik, J., Kvach, A.: A survey of recent results in finite-source retrial queues with collisions. In: Dudin, A., Nazarov, A., Moiseev, A. (eds.) ITMM/WRQ -2018. CCIS, vol. 912, pp. 1–15. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-97595-5_1

    Chapter  Google Scholar 

  28. Kuki, A., Berczes, T., Sztrik, J., Toth A.: Reliability analysis of a two-way communication system with searching for customers. In: Proceedings of The International Conference on Information and Digital Technologies, pp. 260–265. IEEE (2019)

    Google Scholar 

  29. Fishwick, P.A.: Getting started with simulation programming in C and C++. In: Winter Simulation Conference, pp. 154–162 (1992)

    Google Scholar 

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Correspondence to Mohamed Hedi Zaghouani .

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Nemouchi, H., Zaghouani, M.H., Sztrik, J. (2021). Simulation Analysis in Cognitive Radio Networks with Unreliability and Abandonment. In: Dudin, A., Nazarov, A., Moiseev, A. (eds) Information Technologies and Mathematical Modelling. Queueing Theory and Applications. ITMM 2020. Communications in Computer and Information Science, vol 1391. Springer, Cham. https://doi.org/10.1007/978-3-030-72247-0_3

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  • DOI: https://doi.org/10.1007/978-3-030-72247-0_3

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