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Performance Analysis of Hybrid MAC Protocol for Cognitive Radio Networks

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DOI: 10.4236/ijcns.2013.61003    3,315 Downloads   5,131 Views   Citations


The rapid growth in demand for broadband wireless services coupled with the recent developmental work on wireless communications technology and the static allocation of the spectrum have led to the artificial scarcity of the radio spectrum. The traditional command and control model (Static allocation) of spectrum allocation policy allows for severe spectrum underutilization. Spectrum allocated to TV operators can potentially be shared by wireless data services, either when the primary service is switched off or by exploiting spatial reuse opportunities. This paper describes a hybrid access scheme based on CSMA/CA and TDMA MAC protocols for use in the TV bands. The approach allows secondary users (SU) to operate in the presence of the primary users (PU) and the OPNET simulation and modelling software has been used to model the performance of the scheme. An analysis of the results shows that, the proposed schemes protect the primary user from harmful Interference from the secondary user. In terms of delay, it was found that packet arrival rates, data rates and the number of secondary users have significant effects on delay.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

N. Faruk, M. Gumel, A. Oloyode and A. Ayeni, "Performance Analysis of Hybrid MAC Protocol for Cognitive Radio Networks," International Journal of Communications, Network and System Sciences, Vol. 6 No. 1, 2013, pp. 18-28. doi: 10.4236/ijcns.2013.61003.


[1] M. A. McHenry, P. A. Tenhula, P. A. McCloskey, D. A. Roberson and C. S. Hood, “Chicago Spectrum Occupancy Measurements and Analysis and a Long Term Studies Proposal,” 2005.
[2] W. A. Check, A. Scott, S. L. Mace, D. L. Brenner and D. Nicol, “Unlicensed Operation in TV Broadcast Bands,” Report and Order Memorandum Opinion FCC 10-174, 2004.
[3] Office of Communications, “Digital Dividend: Cognitive Access, Statement Licence-Exempting Cognitive Devices Using Interleaved Spectrum,” 2009.
[4] Nigerian Communications Commission, “Commercial Frequency Management Policy, Administrative Procedures and Technical Guidelines,” 2007.
[5] Federal Communications Commission, “FCC Officially Frees TV White Space Spectrum,” 2012.
[6] C. Ghosh, S. Roy and D. Cavalcanti, “Coexistence Challenges for Heterogeneous Cognitive Wireless Networks in TV White Spaces,” IEEE Wireless Communications, Vol. 18, No. 4, 2011, pp. 22-31.
[7] C. Cormio and K. R. Chowdhury, “A Survey on MAC Protocols for Cognitive Radio Networks,” Ad Hoc Networks, Vol. 7, No. 7, 2009, pp. 1315-1329. doi:10.1016/j.adhoc.2009.01.002
[8] I. F. Akyildiz, W. Y. Lee and K. R. L. Chowdhury, “Cognitive Radio Ad Hoc Networks,” Ad Hoc Networks, Vol. 7, No. 5, 2009, pp. 810-836. doi:10.1016/j.adhoc.2009.01.001
[9] R. Pinyi, W. Yichen, D. Qinghe and X. Jing, “A Survey on Dynamic Spectrum Access Protocols for Distributed Cognitive Wireless Networks,” EURASIP Journal on Wireless Communications and Networking, Vol. 2012, 2012, p. 60. doi:10.1186/1687-1499-2012-60
[10] S. Geirhofer, T. Lang and B. M. Sadler, “Interference-Aware OFDMA Resource Allocation: A Predictive Approach,” IEEE Military Communications Conference, San Diego, 16-19 November 2008, pp. 1-7.
[11] P. Phunchongharn, E. Hossain, D. Niyato and S. Camorlinga, “A Cognitive Radio System for E-Health Applications in a Hospital Environment,” IEEE Wireless Communications, Vol. 17, No. 1, 2010, pp. 20-28.
[12] G. Auer, H. Haas and P. Omiyi, “Interference Aware Medium Access for Dynamic Spectrum Sharing,” 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, Dublin, 17-20 April 2007, pp. 399-402.
[13] Y. Wang, P. Ren and G. Wu, “A throughput-aimed MAC protocol with QoS provision for cognitive ad hoc networks,” IEICE Transactions on Communications, Vol. E93-B, No. 6, pp. 1426-1429. doi:10.1587/transcom.E93.B.1426
[14] G. N. Iyer and Y. C. Lim, “Efficient Multi-Channel MAC Protocol and Channel Allocation Schemes for TDMA Based Cognitive Radio Networks,” International Conference on Communications and Signal Processing (ICCSP), Kerala, 10-12 February 2011 pp. 394-398.
[15] N. Faruk, M. Ali and M. I. Gumel, “Interference Mitigation MAC Protocol for Cognitive Radio Networks,” Wireless Engineering and Technology, Vol. 3, No. 2, 2012, pp 63-71.
[16] R. Tandra, A. Sahai and V. Veeravilla, “Unified Space-Time Metrics to Evaluate Spectrum Sensing,” IEEE Wireless Communication Magazine, Vol. 49, No. 3, 2011, pp. 54-61.
[17] A. F. Molisch, L. J. Greenstein and M. Shafi, “Propagation Issues for Cognitive Radio,” Proceedings of the IEEE, Vol. 97, No. 5, 2009, pp. 787-804. doi:10.1109/JPROC.2009.2015704
[18] A. Mitra, “Lecture Notes on Mobile Communication,” 2012.
[19] P. Papadimitratos, S. Sankaranarayanan and A. Mishra, “A Bandwidth Sharing Approach to Improve Licensed Spectrum Utilization,” IEEE Communications Magazine, Vol. 43, No. 12, 2005, pp. S10-S14. doi:10.1109/MCOM.2005.1561918
[20] B. Wild and K. Ramchandran, “Detecting Primary Receivers for Cognitive Radio Applications,” 1st IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, Baltimore, 8-11 November 2005, pp.124-130.
[21] S. M. Weiss, R. D. Weller and S. D. Driscol, “New Measurements and Predictions of UHF Television Receiver Local Oscillator Radiation Interference,” Merrill Weiss Group Metuchen, 2006.
[22] T. Rahul, S. M. Mishra and A. Sahai, “What Is a Spectrum Hole and What Does It Take to Recognize One?”
[23] R. Tobias, C. Kloeck and F K. Jondral, “A Cognitive Approach to the Detection of Spectrum Holes in Wireless Networks,” 4th IEEE Proceedings of Consumer Communications and Networking Conference, Las Vegas, 11-13 January 2007, pp. 1118-1122.
[24] L. Chris and S. Pickavance, “QoS Requirements for Voice, Video, and Data,” Selecting MPLS VPN Services, Cisco Press, 2006.
[25] I. F. Akyildiz, et al., “Next Generation/Dynamic Spectrum Access/Cognitive Radio Wireless Networks: A Survey,” Computer Networks, Vol. 50, No. 13, 2006, pp. 2127-2159. doi:10.1016/j.comnet.2006.05.001

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