Cognitive Radio Networks And System Optimization

This book presents a complete model for Cognitive Radio that describes the sensing and sharing procedures in wireless networks by introducing Queued Markov Chain method in spectrum sensing and Competitive Indexing Algorithm in spectrum sharing part. Queued Markov Chain method is capable of considering waiting time and is very well generalized for unlimited number of secondary users. This book also addresses improvements in the multiuser capacity in unplanned networks with high levels of co-channel interference. Moreover, a fuzzy logic-based framework and Particle Swarm Optimization (PSO) are proposed for control of Battery Storage Unit in Micro-Grid Systems to achieve Efficient Energy Management.

Autorentext

Amir Rajaee received Master of Science in electrical engineering from Iran University of Texas at San Antonio in 2012. He is currently working in VoLTE project in Qualcomm. His research areas are Spectrum Sensing and Management in Cognitive Radio (Ad Hoc and Cellular Networks), Queueing Theory and Optimizations.