Associate Prof. Dr. Abdullah Gani
SUMMARY OF THE RESEARCH
Cognitive radio is an emerging technology that enables dynamic spectrum access in wireless networks. The cognitive radio is capable of opportunistically using the available portions of a licensed spectrum to improve the application performance for unlicensed users. The opportunistic use of the available channels in the wireless environment requires dynamic channel assignment to efficiently utilize the available resources while minimizing the interference in the network. A challenging aspect of such algorithms is the incorporation of the channels’ diverse characteristics, highly dynamic network conditions with respect to primary users’ activity, and different fragmented sizes of the available channels.
The research paper presents a comprehensive survey on the state-of-the-art channel assignment algorithms in cognitive radio networks. The authors have classified the algorithms by presenting a thematic taxonomy of the current channel assignment algorithms in cognitive radio networks. Moreover, the critical aspects of the current channel assignment algorithms in cognitive radio networks are analyzed to determine the strengths and weaknesses of such algorithms. The similarities and differences of the algorithms based on the important parameters, such as routing dependencies, channel models, assignment methods, execution model, and optimization objectives, are also investigated. The authors have also discussed open research issues and challenges of channel assignment in the cognitive radio networks.
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High Impact Research (HIR) congratulates the researchers for their publication in IEEE Communications Surveys & Tutorials. The authors are Associate Prof. Dr. Abdullah Gani and his PhD student Ejaz Ahmed from Centre for Mobile Cloud Computing Research (C4MCCR), Faculty of Computer Science and Information Technology, University of Malaya (UM) in collaboration with Samee U. Khan, an Associate Professor at North Dakota State University, USA.
The paper entitled “Channel Assignment Algorithms in Cognitive Radio Networks: Taxonomy, Open Issues, and Challenges” is accepted in IEEE Communications Surveys & Tutorials, a top ranked tier 1 journal of computer science with an Impact Factor of 6.49, on 5 October 2014. The research work is supported in part by the Malaysian Ministry of Education under the University of Malaya High Impact Research Grant UM.C/625/1/HIR/MOE/FCSIT/03 and by the Bright Spark Unit, University of Malaya, Malaysia.
According to JCR Science 2013 report, the IEEE Communications Surveys & Tutorials journal is ranked third among 135 journals of Computer Science and Information Systems and second among 78 journals of Telecommunications.
Ejaz Ahmed
