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access icon free Spectrum occupancy of cognitive radio networks: a queueing analysis using retrial queue

© The Institution of Engineering and Technology
Received 09/10/2012, Accepted 28/09/2013, Revised 14/09/2013, Published 27/11/2013

The authors apply the preemptive priority queueing analysis to cognitive radio networks. Using the proposed analytical model, the authors can quantify the delay, throughput and spectrum occupancy of cognitive radio networks. Cognitive users’ packet arrivals form a retrial queue with a proper choice of the retrial rate. The authors illustrate numerical results of the delay, throughput and spectrum occupancy with respect to retrial rate, spectrum sensing time and primary user's busy rate.

Inspec keywords: radio spectrum management; cognitive radio; numerical analysis; queueing theory

Other keywords: cognitive user packet arrivals; cognitive radio networks; preemptive priority queueing analysis; spectrum sensing time; retrial rate; primary user busy rate; retrial queue; spectrum occupancy; delay

Subjects: Queueing theory; Radio links and equipment; Other numerical methods

References

    1. 1)
    2. 2)
    3. 3)
    4. 4)
    5. 5)
    6. 6)
    7. 7)
    8. 8)
    9. 9)
      • 5. López-Benitez, M., Casadevall, F.: ‘Methodological aspects of spectrum occupancy evaluation in the context of cognitive radios’. Proc. 15th European Wireless Conf. (EW2009), Aalborg, Denmark, May 2009, pp. 199–204.
    10. 10)
      • 10. Rashid, M.M., Hossain, M.J., Hossain, E., Bhargava, V.K.: ‘Opportunistic spectrum scheduling for multiuser cognitive radio: a queueing analysis’, IEEE Trans. Wirel. Commun., 2009, 8, (10), pp. 5259–5269 (doi: 10.1109/TWC.2009.081536).
    11. 11)
      • 8. Liu, Q., Zhou, S., Giannakis, G.B.: ‘Queuing with adaptive modulation and coding over wireless links: cross-layer analysis and design’, IEEE Trans. Wirel. Commun., 2005, 4, (3), pp. 1142–1153 (doi: 10.1109/TWC.2005.847005).
    12. 12)
      • 17. Bhattacharjee, S., Konar, A., Bhattacharjee, S., Nagar, A.K.: ‘Throughput analysis for fixed allocation channels in cognitive radio network’. Proc. Fourth Int. Conf. Computational Intelligence and Communication Networks (CICN2012), 2012, pp. 209–231.
    13. 13)
      • 11. Huang, L.-F., Gao, Z.-L., Guo, D., Chao, H.-C., Park, J.H.: ‘A sensing policy based on the statistical property of licensed channel in cognitive network’, Int. J. Internet Protocol Technol., 2010, 5, (4), pp. 219–229 (doi: 10.1504/IJIPT.2010.039233).
    14. 14)
      • 7. Patil, K., Prasad, R., Skouby, K.: ‘A survey of worldwide spectrum occupancy measurement campaigns for cognitive radio’. Int. Conf. Devices and Communications (ICDeCom2011), 2011, pp. 1–5.
    15. 15)
      • 14. Chen, Y.-S., Cho, C.-H., You, I., Chao, H.-C.: ‘A cross-layer protocol of spectrum mobility and handover in cognitive LTE network’, Simul. Model. Pract. Theory, 2011, 19, (8), pp. 1723–1744 (doi: 10.1016/j.simpat.2010.09.007).
    16. 16)
      • 2. López-Benitez, M., Casadevall, F.: ‘On the spectrum occupancy perception of cognitive radio terminals in realistic scenarios’. Proc. Second Int. Workshop on Information Processing (CIP2010), 2010, pp. 99–104.
    17. 17)
      • 15. Huang, L.-F., Zhou, S.-L., Guo, D., Chao, H.-C.: ‘MHC-MAC: cognitive MAC with asynchronous-assembly line mode for improving spectrum utilization and network capacity’, Math. Comput. Model., 2013, 57, (11–12), pp. 2742–2749 (doi: 10.1016/j.mcm.2011.11.074).
    18. 18)
      • 18. Wang, S., Zhang, J., Tong, L.: ‘A characterization of delay performance of cognitive medium access’, IEEE Trans. Wirel. Commun., 2012, 11, (2), pp. 800–809 (doi: 10.1109/TWC.2012.010312.110765).
    19. 19)
      • 13. Chen, C.-Y., Chou, Y.-H., Chao, H.-C., Lo, C.-H.: ‘Secure centralized spectrum sensing for cognitive radio networks’, ACM/Springer Wirel. Netw., WINET, 2012, 18, (6), pp. 667–677 (doi: 10.1007/s11276-012-0426-3).
    20. 20)
      • 4. López-Benitez, M., Umbert, A., Casadevall, F.: ‘Evaluation of spectrum occupancy in Spain for cognitive radio applications’. Proc. Vehicular Technology Conf. (VTC2009 Spring), April 2009, pp. 1–5.
    21. 21)
      • 9. Rashid, M.M., Hossain, M.J., Hossain, E., Bhargava, V.K.: ‘Opportunistic spectrum access in cognitive radio networks: a queueing analytic model and admission controller design’. Proc. IEEE Globecom, 2007, pp. 4647–4652.
    22. 22)
      • 3. Dzulkifli, M.R., Kamarudin, M.R., Rahman, T.A.: ‘Spectrum occupancy at UHF TV band for cognitive radio applications’. IEEE Int. Conf. RF and Microwave (RFM2011), 2011, pp. 111–114.
    23. 23)
      • 6. López-Benitez, M., Casadevall, F.: ‘Spectrum occupancy in realistic scenarios and duty cycle model for cognitive radio’, J. Adv. Electron. Telecommun., 2010, 1, (1), pp. 26–34.
    24. 24)
      • 12. Huang, L.-F., Gao, Z.-L., Zhao, Y.-F., Wang, J., Lo, C.-H.: ‘An unconnected clustering negotiation policy for a distributed cognitive network’, J. Interent Technol., 2012, 13, (4), pp. 599–606.
    25. 25)
      • 16. Wadhwa, M., Xin, C., Song, M., Park, E.K.: ‘Throughput analysis for contention-based dynamic spectrum sharing model’, IEEE Trans. Wirel. Commun., 2010, 9, (4), pp. 1426–1433 (doi: 10.1109/TWC.2010.04.090376).
    26. 26)
      • 1. Patil, K., Skouby, K., Chandra, A., Parsad, R.: ‘Spectrum occupancy statistics in the context of cognitive radio’. Proc. 14th Int. Symp. Wireless Personal Multimedia Communications (WPMC2011), 2011, pp. 1–5.
    27. 27)
      • 19. Gross, D., Shortle, J.F., Thompson, J.M., Harris, C.M.: ‘Fundamentals of queueing theory’ (Wiley, 2008).
    28. 28)
      • 20. Cooper, R.B.: ‘Introduction to queueing theory’ (North Holland, 1981).
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