setsci Setsci conference indexing system 2618-6446 SET Technology 6f5f91dc-cf63-4e61-b0b4-5c272124dca0 Research and Future Trends on Cognitive Radio Can Göksel Tuncer Ahmet Turgut Yıldırım Beyazıt University Başkent University 08 12 2017 1 115 118 © 2017 SET Technology 2017 SET Technology CC BY 4.0

Increasing in wireless communications systems is caused to increase in the need of the frequency spectrum. CR (Cognitive Radio) measure or sense frequency spectrum activities on spectrum bands whether they are idle or used by licensed users. According to sensing results, idle spectrum bands can be used opportunistically in order to mitigate scarce spectrum needs fairly and efficiently. CR technology is proposed as a candidate technology for mentioned issues and contains many opportunities inside. In this paper, the technology was introduced. The possible additive contributions to wireless communications were investigated and the researches and future trends on Cognitive Radio were summarized.  

 Cognitive Radio, Wireless communications, Dynamic Spectrum Acces Cognitive Radio, Wireless communications, Dynamic Spectrum Acces Guest Editorial, “A Path in the Evolution of Public Wireless Networks”, KICS/IEEE Journal of Communications and Networks (JCN) Special Issue on Cognitive radio, 2008. Haykin S.,” Cognitive radio: brain-empowered wireless communications”, IEEE Journal on Selected Areas in Communications, 23(2): 201–220, 2005, Akyildiz IF, Lee WY, Chowdhury KR.,” CRAHNs:cognitive radio ad hoc Networks”, Ad Hoc Networks, 7(5): 810–836, 2009. Wang J, Ghosh M, Challapali K.,” Emerging cognitive radio applications: a survey”, IEEE Communications Magazine, 49(3): 74– 81, 2011. El Sawy, H. and Hossain, E., “Two-tier HetNets with cognitive femtocells: downlink performance modeling and analysis in a multichannel environment”. IEEE Transactions on Mobile Computing, 13 (3), 649–663, 2014. Vo QD, Choi J-P, Chang HM, Lee WC. Green perspective cognitive radio-based M2M communications for smart meters, In Proc. of International Conference on Information and Communication Technology Convergence (ICTC), November 2010; 382–383. Feng D, Jiang C, Lim G, Cimini LJ, Jr., Feng G, LiGY. A survey of energy-efficient wireless communications. IEEE Communications Surveys & Tutorials, 15(1): 167–178, 2013. Gür G, Bayhan S, Alagoz F.,” Cognitive femtocell networks: an overlay architecture for localized dynamic spectrum Access”, IEEE Wireless Communications, 17(4): 62–70, 2010. Chen T, Zhang H, Maggio GM, Chlamtac I.,” CogMesh: a clusterbased cognitive radio network”, In Proc. of 2nd IEEE International Symposiumon Dynamic Spectrum Access Networks (DySPAN07), 2007; 168–178. Nekovee M.,” A survey of cognitive radio Access to TV whitespaces”, In Proc. of International Conference on UltraModern Telecommunications & Workshops (ICUMT), 2009. Zaballos A, Vallejo A, Selga JM.,” Heterogeneous communication architecture for the smart grid”, IEEE Network, 25(5): 30–37, 2011. Qiu RC, Hu Z, Chen Z, Guo N, Ranganathan R, Hou S, Zheng G.,” Cognitive radio network for the smart grid: experimental system architecture, control algorithms, security, and microgrid testbed”, IEEE Transactions on Smart Grid, 2(4): 724–740, 2011.