Interference Mitigation MAC Protocol for Cognitive Radio Networks

Nasir Faruk, Maaruf Ali, Mohammed Ibrahim Gumel

College of Computer Science & Engineering, University of Ha’il, Ha’il, KSA.
Department of Telecommunication Science, University of Ilorin, Ilorin, Nigeria.
Huawei Technologies, Kano, Nigeria.

DOI: 10.4236/wet.2012.32010                

Abstract

The growing demand for wireless services coupled with the limited availability of suitable electromagnetic spectrum is increasing the need for more efficient RF spectrum utilization. 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 dynamic spectrum access scheme for use in the TV bands which uses cognitive radio techniques to determine the spectrum availability. 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 scheme protects the primary users from harmful interference from the secondary users. In comparison with the 802.11 MAC protocol, the scheme improves spectrum utilization by about 27% while limiting the interference imposed on the primary receiver.

Keywords

Dynamic Spectrum Access (DSA); Optimized Network Engineering Tool (OPNET); TV White Space; Cognitive Radio Networks; Signal-to-Interference Ratio (SIR)

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	S. Parkes and S. Teltscher, “ITU Sees 5 Billion Mobile Subscribers Globally in 2010,” International Telecommunications Union Press, Geneva, 2010. http://www.itu.int/newsroom/press_releases/2010/06.html
[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. http://www.google.co.uk/url?sa=t&rct=j&q=unilicensed%20operation%20in%20the%20tv%20broadcast%20bands&source=web&cd=1&ved=0CCcQFjAA&url=http%3A%2F%2Fwww.ncta.com%2FDocumentBinary.aspx%3Fid%3D151&ei=4d8WT9urM-r44QSx98iTBA&usg=AFQjCNHyo2NO15jeifSLvITxboJ_7EAKVA&sig2=j6NFMVF-UpXK9DmoujBOIQ&cad=rja
[3]	OFCOM, “Digital Dividend: Cognitive Access, Statement Licence-Exempting Cognitive Devices Using Interleaved Spectrum,” 2009. http://stakeholders.ofcom.org.uk/binaries/consultations/cognitive/statement/statement.pdf
[4]	NCC, “Commercial Frequency Management Policy, Administrative Procedures and Technical Guidelines,” 2007. http://www.ncc.gov.ng/component/docman/doc_download/137-commercial-frequency-management-policy-administrative-procedures-a-technical-guidelines.html
[5]	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,” Shared Spectrum Company, Vienna, 2005. http://www.wtapas.org/final-papers/ChicagoSpectrum-McHenry-Session-I-1.pdf
[6]	C. E. Caicedo and M. B. H. Weiss, “The Viability of Spectrum Trading Market,” IEEE Communication Magazine, Vol. 49, No. 3, 2011, pp. 46-52. doi:10.1109/MCOM.2011.5723799
[7]	T. Erpek, M. A. Mchenry and A. Stirling, “Dynamic Spectrum Access Operational Parameters with Wireless Microphones,” IEEE Communication Magazine, Vol. 49, No. 3, 2011, pp. 38-45. doi:10.1109/MCOM.2011.5723798
[8]	H. Kim and K. G. Shin, “Efficient Discovery of Spectrum Opportunities with MAC-Layer Sensing in Cognitive Radio Networks,” IEEE Transactions on Mobile Computing, Vol. 7, No. 5, 2008, pp. 533-545. doi:10.1109/TMC.2007.70751
[9]	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
[10]	B. E. Mullins, “CATER: An Opportunistic Medium Access Control Protocol for Wireless Local Area Networks,” PhD Thesis, Virginia Polytechnic Institute and State University, Blacksburg, 1997. http://scholar.lib.vt.edu/theses/available/etd-52497-151055/unrestricted/mullins.pdf
[11]	S. Geirhofer, T. Lang and B. M. Sadler, “Interference-Aware OFDMA Resource Allocation: A Predictive Approach,” IEEE MILCOM Military Communications Conference, San Diego, 16-19 November 2008, pp. 1-7.
[12]	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.
[13]	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.
[14]	FCC, “FCC Officially Frees TV White Space Spectrum,” 2010. http://news.cnet.com/8301-30686_3-20017435-266.html
[15]	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.
[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]	J. Mitola III, “Cognitive Radio: An Integrated Agent Architecture for Software Defined Radio,” PhD Thesis, Royal Institute of Technology, Sweden, 2000. http://www.google.co.uk/url?sa=t&rct=j&q=cognitive%20radio%3A%20an%20integrated%20agent%20architecture%20for%20software%20defined%20radio&source=web&cd=1&ved=0CCkQFjAA&url=http%3A%2F%2Fwww.diva-portal.org%2Fsmash%2Fget%2Fdiva2%3A8730%2FFULTEXT01&ei=lsQWT87UFOen4gTitL2oBA&usg=AFQjCFoQWgdlSj7288L5xj_bbrVpBNCtw&sig2=baDmpwki0Mb1HJXcTAGLrA&cad=rja
[18]	A. Ghasemi and E. Sousa, “Capacity of Fading Channels under Spectrum-Sharing Constraints,” Proceedings of IEEE International Conference on Communications, Istanbul, 11-15 June 2006, pp. 4373-4378.
[19]	E. Hossain, L. Le, N. Devroye and M. Vu, “Cognitive Radio: From Theory to Practical Network Engineering,” In: V. Tarokh, I. F. Blake and A. Gulliver, Eds., Advances in Wireless Communications, Springer, Berlin, 2009, pp. 1-41. http://www.ece.uic.edu/~devroye/research/ch4.pdf
[20]	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
[21]	Lecture Note, 2010. http://www.cs.nctu.edu.tw/~yi/Courses/WirelessOPT/LectureNotes/lecture01.pdf
[22]	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. http://www.eecs.berkeley.edu/~dtse/3r_ben_dyspan05.pdf
[23]	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. http://h-e.com/sites/h-e.com/files/tech_docs/rw_bts03.pdf
[24]	C. Lewis and S. Pickavance, “QoS Requirements for Voice, Video, and Data,” In: C. Lewis and S. Pickavance, Eds., Selecting MPLS VPN Services, Cisco Press, Indianapolis, 2006. http://www.informit.com/articles/article.aspx?p=471096&seqNum=6