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Sung W. Kim 1 and Miao Pan 2 and Gyanendra Prasad Joshi 1 and Orhan Gazi 3 and Jianhua He 4 and Marceau Coupechoux 5
1, Department of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea
2, Department of Computer Science, Texas Southern University, Houston, TX 77004, USA
3, Department of Electric and Communication Engineering, Cankaya University, 06790 Ankara, Turkey
4, Department of Electrical, Electronic and Power Engineering, Aston University, Birmingham B4 7ET, UK
5, Department of Computer and Network Science, Telecom ParisTech, 75013 Paris, France
Received 13 December 2015; Accepted 14 December 2015
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Contemporary wireless networks must meet the ever increasing bandwidth requirements to assure the quality of service (QoS) to the end users. Cognitive radio (CR) technology with efficient electromagnetic spectrum management can achieve increased bandwidth beyond its traditional limits. The innovative spectrum management by CRNs allows for usage of incumbent spectrum band by unlicensed (cognitive) users possibly without interfering with the incumbent users. CR network is an intelligent and adaptive wireless communications system in which CR devices learn from its surroundings and decide the operation based on the learning. CR devices are inevitably so intelligent that they can dynamically choose carrier frequency, bandwidth, transmission rate, transmission power, and so forth.
There are many emerging CR networks applications based on CR technologies. This special issue is focused on presenting state-of-the-art research results on...