Introduction to Cognitive Radio Networks
- 9 Downloads
This Chapter introduces the cognitive radio network as one of the most promising technologies for the immediate and very near future. It explores its rich history and establishes that the radio-frequency spectrum is the most important base in the overall cognitive radio network scheme. The recently-proposed concept of dynamic spectrum access and allocation is portrayed as the preferred mechanism for sharing and administering the spectrum, especially for most newly-emerging technologies, and particularly for the cognitive radio network. Importantly, the Chapter sets the stage for ongoing discussions on the recent developments in the design and implementation of modern cognitive radio networks.
KeywordsModern wireless communications Cognitive radio networks Spectrum scarcity Static and dynamic spectrum access
- 2.Statista, Number of mobile phone users worldwide from 2013 to 2019 (2016). http://www.statista.com/statistics/274774/forecast-of-mobile-phone-users-worldwide/
- 3.P. Lange, 2012 Africa—mobile broadband, data and mobile media market (2012). http://www.budde.com.au/Research/2012-Africa-Mobile-Broadband-Data-and-Mobile-Media-Market.html
- 4.F.C. Commission, Report of spectrum efficiency working group. Spectrum Policy Task Force, Washington (2002)Google Scholar
- 5.F.C. Commission, Cognitive radio technologies proceeding, rep. ET Docket, no. 03-108, 2003Google Scholar
- 6.Ofcom, Securing long term benefits from scarce spectrum resources—a strategy for UHF bands IV and V (2012). http://wwwofcom.org.uk/consultations-and-statements/category-1/uhf-strategy.
- 7.Ofcom, Techniques for increasing the capacity of wireless broadband networks—Ofcom (2012). http://wwwofcom.org.uk/static/uhf/real-wireless-report.pdf.
- 8.ICASA, Draft terrestrial broadcasting frequency plan 2013. Government Gazette, Republic of South Africa 574 (36321), 2013Google Scholar
- 9.C. Tran, R. Lu, A. Ramirez, C. Phillips, S. Thai, Dynamic spectrum access: architectures and implications, in Proceedings of the IEEE MILCOM (2008), pp. 1–7Google Scholar
- 10.J. Pastircak, J. Gazda, D. Kocur, A survey on the spectrum trading in dynamic spectrum access networks, in Proceedings of the 56th International Symposium on ELMAR (2014), pp. 1–4Google Scholar
- 11.J. Mitola, J. Maguire, G.Q., Cognitive radio: making software radios more personal. IEEE Pers. Commun. 6(4), 13–18 (1999)Google Scholar
- 12.J. Mitola, Cognitive radio: An integrated agent architecture for software defined radios, Ph.D. dissertation, KTH, Sweden, 2000Google Scholar
- 13.A.M. Wyglinski, M. Nekovee, T. Hou, Cognitive Radio Communications and Networks: Principles and Practice Academic Press, London (2009)Google Scholar
- 16.I.F. Akyildiz, W.-Y. Lee, M.C. Vuran, S. Mohanty, NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey. Int. J. Comput. Telecommun. Netw. 50(13), 2127–2159 (2006). http://www.sciencedirect.com/science/article/pii/S1389128606001009 CrossRefGoogle Scholar
- 17.B.S. Awoyemi, B.T.J. Maharaj, A.S. Alfa, Solving resource allocation problems in cognitive radio networks: a survey. EURASIP J. Wirel. Commun. Netw. 2016(1), 176 (2016). https://doi.org/10.1186/s13638-016-0673-6
- 18.B. Awoyemi, B. Maharaj, A. Alfa, Optimal resource allocation solutions for heterogeneous cognitive radio networks. Digital Commun. Netw. 3(2), 129–139 (2017). http://www.sciencedirect.com/science/article/pii/S2352864816301043 CrossRefGoogle Scholar
- 19.B.S. Awoyemi, B.T. Maharaj, Mitigating interference in the resource optimisation for heterogeneous cognitive radio networks, in Proceedings of the IEEE Second Wireless Africa Conference (WAC) (2019), pp. 1–6Google Scholar
- 20.B.S. Awoyemi, B.T. Maharaj, A.S. Alfa, Resource allocation in heterogeneous cooperative cognitive radio networks. Int. J. Commun. Syst. 30(11), e3247 (2017). https://onlinelibrary.wiley.com/doi/abs/10.1002/dac.3247
- 21.S.D. Okegbile, B.T. Maharaj, A.S. Alfa, Interference characterization in underlay cognitive networks with intra-network and inter-network dependence. IEEE Trans. Mobile Comput (2020). https://doi.org/10.1109/TMC.2020.2993408