Evaluating Cognitive Radio Networks an agent based modeling approach

Recent moves by regulatory bodies indicate that Cognitive Radios (CR) and Dynamic Spectrum Access (DSA) Networks are on the verge of becoming a deployed reality. However, it is unclear whether the evaluation mechanisms for proposed architectures and protocols are adequate. Traditional modeling approaches cannot capture key aspects of these next generation technologies. To capture the interplay between different actors and the behavioral aspects of these systems, we propose the use of an Agent based modeling approach. We also present a comprehensive set of Dimensions that we consider critical for the evaluation of CR/DSA systems. Preliminary results using the ABMS tool Netlogo are presented.

[1]  M.M. Buddhikot,et al.  Understanding Dynamic Spectrum Access: Models,Taxonomy and Challenges , 2007, 2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks.

[2]  A. Sahai,et al.  Crime and Punishment for Cognitive Radios , 2008, 2008 46th Annual Allerton Conference on Communication, Control, and Computing.

[3]  Cynthia S. Hood,et al.  An agent-based simulation framework for cognitive radio studies , 2009, SimuTools.

[4]  Anant Sahai,et al.  Allowing sensing as a supplement: An approach to the weakly-localized whitespace device problem , 2014, 2014 IEEE International Symposium on Dynamic Spectrum Access Networks (DYSPAN).

[5]  Joseph Mitola,et al.  Cognitive Radio Architecture Evolution , 2009, Proceedings of the IEEE.