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Mathematical Problems in Engineering
Volume 2013, Article ID 727310, 10 pages
http://dx.doi.org/10.1155/2013/727310
Research Article

Performance Analysis and Optimization of an Adaptive Admission Control Scheme in Cognitive Radio Networks

1College of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China
2Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province, Yanshan University, Qinhuangdao 066004, China
3Department of Intelligence and Informatics, Konan University, Kobe 658-8501, Japan
4Department of Networked Systems and Services, Budapest University of Technology and Economics, Budapest 1521, Hungary

Received 1 August 2013; Revised 6 October 2013; Accepted 10 October 2013

Academic Editor: Pui-Sze Chow

Copyright © 2013 Shunfu Jin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. Q. Zhao and B. M. Sadler, “A survey of dynamic spectrum access,” IEEE Signal Processing Magazine, vol. 24, no. 3, pp. 79–89, 2007. View at Publisher · View at Google Scholar · View at Scopus
  2. B. Wang and K. J. R. Liu, “Advances in cognitive radio networks: a survey,” IEEE Journal of Selected Topics in Signal Processing, vol. 5, no. 1, pp. 5–23, 2011. View at Publisher · View at Google Scholar · View at Scopus
  3. A. De Domenico, E. C. Strinati, and M.-G. Di Benedetto, “A survey on MAC strategies for cognitive radio networks,” IEEE Communications Surveys and Tutorials, vol. 14, no. 1, pp. 21–44, 2012. View at Publisher · View at Google Scholar · View at Scopus
  4. P. Yadav, S. Chaterjee, and P. P. Bhattacharya, “A survey on dynamic spectrum access techniques in cognitive radio,” International Journal of Next-Generation Networks, vol. 4, no. 4, pp. 27–46, 2012. View at Google Scholar
  5. J. Marinho and E. Monteiro, “Cognitive radio: survey on communication protocols, spectrum decision issues, and future research directions,” Wireless Networks, vol. 18, no. 2, pp. 147–164, 2012. View at Publisher · View at Google Scholar · View at Scopus
  6. H. Su and X. Zhang, “Cross-layer based opportunistic MAC protocols for QoS provisionings over cognitive radio wireless networks,” IEEE Journal on Selected Areas in Communications, vol. 26, no. 1, pp. 118–129, 2008. View at Publisher · View at Google Scholar · View at Scopus
  7. K. J. Kim, K. S. Kwak, and B. D. Choi, “Performance analysis of opportunistic spectrum access protocol for multi-channel cognitive radio networks,” Journal of Communications and Networks, vol. 15, no. 1, pp. 77–86, 2013. View at Publisher · View at Google Scholar
  8. S. De Clercq, B. Steyaert, and H. Bruneel, “Queue content analysis in a 2-class discrete-time queueing system under the slot-bound priority service rule,” Mathematical Problems in Engineering, vol. 2012, Article ID 425630, 20 pages, 2012. View at Publisher · View at Google Scholar
  9. C. T. Do, N. H. Tran, and C. S. Hong, “Throughput maximization for the secondary user over multi-channel cognitive radio networks,” in Proceedings of the International Conference on Information Networking, pp. 65–69, Bangkok, Thailand, February 2012.
  10. P. G. Smith, A. Firag, P. A. Dmochowski, and M. Shafi, “Analysis of the M/M/N/N queue with two types of arrival process: applications to future mobile radio systems,” Journal of Applied Mathematics, vol. 2012, Article ID 123808, 14 pages, 2012. View at Publisher · View at Google Scholar
  11. Y. Wang, H. R. Karimi, and Z. Xiang, “H Control for networked control systems with time delays and packet dropouts,” Mathematical Problems in Engineering, vol. 2013, Article ID 635941, 10 pages, 2013. View at Publisher · View at Google Scholar
  12. J. Hu, J. Liang, H. R. Karimi, and J. Cao, “Sliding intermittent control for BAM neural networks with delays,” Abstract and Applied Analysis, vol. 2013, Article ID 615947, 15 pages, 2013. View at Publisher · View at Google Scholar
  13. S. Havedanloo and H. R. Karimi, “Improving the performance metric of wireless sensor networks with clustering markov chain model and multilevel fusion,” Mathematical Problems in Engineering, vol. 2013, Article ID 783543, 11 pages, 2013. View at Publisher · View at Google Scholar
  14. H. Li and Z. Han, “Socially optimal queuing control in cognitive radio networks subject to service interruptions: to queue or not to queue?” IEEE Transactions on Wireless Communications, vol. 10, no. 5, pp. 1656–1666, 2011. View at Publisher · View at Google Scholar · View at Scopus
  15. A. Turhan, M. Alanyali, and D. Starobinski, “Optimal admission control of secondary users in preemptive cognitive radio networks,” in Proceedings of the International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, pp. 138–144, Paderborn, Germany, May 2012.
  16. A. S. Alfa, Queueing Theory for Telecommunications: Discrete Time Modelling of a Single Node System, Springer, 2010.
  17. H. Takagi, Queueing Analysis, Volume 3: Discrete-Time Systems, North-Holland, 1993.
  18. Y. Liu, H. R. Karimi, and X. Liu, “Distributed consensus for discrete-time directed networks of multiagents with time-delays and random communication links,” Abstract and Applied Analysis, vol. 2013, Article ID 158731, 9 pages, 2013. View at Publisher · View at Google Scholar
  19. N. Tian and Z. G. Zhang, Vacation Queueing Models: Theory and Applications, Springer, 2006.
  20. R. Hassin and M. Haviv, To Queue or Not to Queue: Equilibrium Behaviour in Queueing Systems, Kluwer Academic Publishers, 2003.