ETRI Journal

Electronics and Telecommunications Research Institute (한국전자통신연구원)
권호 표지
DOI QR코드

DOI QR Code

Non-preemptive Queueing Model of Spectrum Handoff Scheme Based on Prioritized Data Traffic in Cognitive Wireless Networks

  • Received : 2016.11.22
  • Accepted : 2017.02.09
  • Published : 2017.08.01
Download PDF
⟨ Previous Next ⟩

Abstract

In this study, a non-preemptive M/G/1 queueing model of a spectrum handoff scheme for cognitive wireless networks is proposed. Because spectrum handoff gives secondary users an opportunity to carry on their transmissions, it is crucially important to determine the actions of primary users. In our queueing model, prioritized data traffic is utilized to meet the requirements of the secondary users. These users' packets are categorized into three different priority classes: urgent, real-time, and non-real time. Urgent data packets have the highest priority, while non-real time data packets have the lowest priority. Riverbed (OPNET) Modeler simulation software was used to simulate both reactive and proactive decision spectrum handoff schemes. The simulation results were consistent with the analytical results obtained under different load and traffic conditions. This study also revealed that the cumulative number of handoffs can be drastically decreased by exploiting priority classes and utilizing a decent spectrum handoff strategy, such as a reactive or proactive decision-based strategy.

Keywords

References

  1. H.P. Shiang and M.V.D. Schaar, "Queuing Based Dynamic Channel Selection for Heterogeneous Multimedia Applications over Cognitive Radio Networks," IEEE Trans. Multimedia, vol. 10, no. 5, Aug. 2008, pp. 896-909. https://doi.org/10.1109/TMM.2008.922851
  2. S. Zahed, I. Awan, and G. Min, "Prioritized Proactive Scheme for Spectrum Handoff Decision in Cognitive Radio Networks," Int. Conf. Broadband, Wireless Comput., Commun. Applicat., Victoria, Canada, Nov. 12-14, 2012, pp. 335-341.
  3. T.M.C. Chu, H. Phan, and H.J. Zepernick, "Dynamic Spectrum Access for Cognitive Radio Networks with Prioritized Traffics," IEEE Commun. Lett., vol. 18, no. 7, July 2014, pp. 1218-1221. https://doi.org/10.1109/LCOMM.2014.2319253
  4. L. Zhang et al., "Modeling for Spectrum Handoff Based on Secondary Users with Different Priorities in Cognitive Radio Networks," IEEE Int. Conf. Wireless Commun. Signal Process., Huangshan, China, Oct. 25-27, 2012, pp. 1-6.
  5. L.C. Wang and C.W. Wang, "Spectrum Handoff for Cognitive Radio Networks: Reactive Sensing or Proactive Sensing," IEEE Int. Performance, Comput. Commun. Conf., Austin, TX, USA, Dec. 7-9, 2008, pp. 343-348.
  6. A. Lertsinsrubtavee, N. Malouch, and S. Fdida, "Controlling Spectrum Handoff with a Delay Requirement in Cognitive Radio Networks," Int. Conf. Comput. Commun. Netw., Munich, Germany, July 30-Aug. 2, 2012, pp. 1-8.
  7. W. Arif et al., "A Comprehensive Analysis of Spectrum Handoff Under Different Distribution Models for Cognitive Radio Networks," Wireless Personal Commun., vol. 85, no. 4, Dec. 2015, pp. 2519-2548. https://doi.org/10.1007/s11277-015-2918-9
  8. Z. Yang, Y. Song, and D. Wang, "An Optimal Operating Frequency Selection Scheme in Spectrum Handoff for Cognitive Radio Networks," Int. Conf. Comput., Netw. Commun., Anaheim, CA, USA, Feb. 16-19, 2015, pp. 1066-1070.
  9. D.J. Lee and W.Y. Yeo, "Channel Availability Analysis of Spectrum Handoff in Cognitive Radio Networks," IEEE Commun. Lett., vol. 19, no. 3, Mar. 2015, pp. 435- 438. https://doi.org/10.1109/LCOMM.2014.2387415
  10. L.C. Wang, C.W. Wang, and C.J. Chang, "Modeling and Analysis for Spectrum Handoffs in Cognitive Radio Networks," IEEE Trans. Mobile Comput., vol. 11, no. 9, Sept. 2012, pp. 1499-1513. https://doi.org/10.1109/TMC.2011.155
  11. C.W. Wang and L.C. Wang, "Modeling and Analysis for Proactive Decision Spectrum Handoff in Cognitive Radio Networks," IEEE Int. Conf. Commun., Dresden, Germany, June 14-18, 2009, pp. 1-6.
  12. C.W. Wang, L.C. Wang, and F. Adachi, "Modeling and Analysis for Reactive Decision Spectrum Handoff in Cognitive Radio Networks," IEEE Global Telecommun. Conf., Miami, OH, USA, Dec. 6-10, 2010, pp. 1-6.
  13. L.C. Wang, C.W. Wang, and C.J. Chang, "Optimal Target Channel Sequence Design for Multiple Spectrum Handoffs in Cognitive Radio Networks," IEEE Trans. Commun., vol. 60, no. 9, Sept. 2012, pp. 2444-2455. https://doi.org/10.1109/TCOMM.2012.070912.100661
  14. Y. Liu, B. Pei, and H. Wang, "An Intelligent Spectrum Handoff Scheme based on Overflow Queuing Theory in Cognitive Radio Networks," URSI General Assembly Scientific Symp., Beijing, China, Aug. 16-23, 2014, pp. 1- 4.
  15. M. Barooah et al., "An Architectural Framework for Seamless Handoff between IEEE 802.11 and UMTS Networks," Wireless Netw., vol. 19, no. 4, May 2013, pp. 411-429. https://doi.org/10.1007/s11276-012-0475-7
  16. F. Liu et al., "Immune Optimization Algorithm for Solving Vertical Handoff Decision Problem in Heterogeneous Wireless Network," Wireless Netw., vol. 19, no. 4, May 2013, pp. 507-516. https://doi.org/10.1007/s11276-012-0481-9
  17. Y. Konishi et al., "Performance Analysis of Dynamic Spectrum Handoff Scheme with Variable Bandwidth Demand of Secondary Users for Cognitive Radio Networks," Wireless Netw., vol. 19, no. 5, July 2013, pp. 607-617. https://doi.org/10.1007/s11276-012-0488-2
  18. J.H. Chu, R.T. Ma, and K.T. Feng, "Stochastic Spectrum Handoff Protocols for Partially Observable Cognitive Radio Networks," Wireless Netw., vol. 20, no. 5, July 2014, pp. 1003-1022. https://doi.org/10.1007/s11276-013-0658-x
  19. M. Li, T. Jiang, and L. Tong, "Spectrum Handoff Scheme for Prioritized Multimedia Services in Cognitive Radio Network with Finite Buffer," IEEE Int. Conf. Dependable, Autonomic Secure Comput., Chengdu, China, Dec. 21-22, 2013, pp. 410-415.
  20. M. Mehrnoush, R. Fathi, and V.T. Vakili, "Proactive Spectrum Handoff Protocol for Cognitive Radio Ad Hoc Network and Analytical Evaluation," IET Commun., vol. 9, no. 15, Oct. 2015, pp. 1877-1884. https://doi.org/10.1049/iet-com.2015.0010
  21. S. Atmaca, "Improving TDMA Channel Utilization in Random Access Cognitive Radio Networks by Exploiting Slotted CSMA," Wireless Personal Commun., vol. 71, no. 4, Aug. 2013, pp. 2417-2430. https://doi.org/10.1007/s11277-012-0945-3
  22. M. Fahimi and A. Ghasemi, "Analysis of the PRP M/G/1 Queuing System for Cognitive Radio Networks with Handoff Management," Iranian Conf. Electr. Eng., Tehran, Iran, May 20-22, 2014, pp. 1047-1051.
  23. Y. Wu et al., "Spectrum Handoffs with Mixed-Priority Queueing Model over Cognitive Radio Networks," IEEE Global Conf. Signal Inform. Process., Austin, TX, USA, Dec. 3-5, 2013, pp. 1194-1197.
  24. A. Karahan et al., "Effects of Transmit-Based and Receive- Based Slot Allocation Strategies on Energy Efficiency in WSN MACs," Ad Hoc Netw., vol. 13, Feb. 2014, pp. 404- 413. https://doi.org/10.1016/j.adhoc.2013.09.001
  25. Riverbed (OPNET) Modeler Software, Accessed 2016. http://www.riverbed.com/products/steelcentral/steelcentralriverbed- modeler.html

Cited by

  1. Intelligent Process of Spectrum Handoff/Mobility in Cognitive Radio Networks vol.2019, pp.None, 2019, https://doi.org/10.1155/2019/7692630
  2. Predicting required licensed spectrum for the future considering big data growth vol.41, pp.2, 2017, https://doi.org/10.4218/etrij.2017-0273
  3. Resource allocation strategy against selfishness in cognitive radio ad‐hoc network based on Stackelberg game vol.13, pp.13, 2017, https://doi.org/10.1049/iet-com.2018.5166
  4. Energy harvesting with adaptive transmit power for cognitive radio networks vol.72, pp.1, 2019, https://doi.org/10.1007/s11235-019-00548-w
  5. Spectrum Handoff Mechanism in the Framework of Mobility Management in Cognitive Radio Networks : vol.10, pp.4, 2017, https://doi.org/10.4018/ijtd.2019100102
  6. Review on cross‐layer design for cognitive ad‐hoc and sensor network vol.14, pp.6, 2017, https://doi.org/10.1049/iet-com.2019.0636