Spectrum Sharing in Cognitive Radio Networks

This book discusses the use of the spectrum sharing techniques in cognitive radio technology, in order to address the problem of spectrum scarcity for future wireless communications. The authors describe a cognitive radio medium access control (MAC) protocol, with which throughput maximization has been achieved. The discussion also includes use of this MAC protocol for imperfect sensing scenarios and its effect on the performance of cognitive radio systems. The authors also discuss how energy efficiency has been maximized in this system, by applying a simple algorithm for optimizing the transmit power of the cognitive user. The study about the channel fading in the cognitive user and licensed user and power adaption policy in this scenario under peak transmit power and interference power constraint is also present in this book.

Provides a comprehensive review of spectrum sensing and sharing techniques; Describes a method using medium access control (MAC) protocol for distributed cognitive radio networks, in perfect and imperfect channel sensing scenarios, to share the primary user's spectrum; Presents a method to enhance throughput using bandwidth wastage and an approach to allocate power for energy efficiency; Includes a cognitive radio user frame-structure to reduce data loss rate and maximize throughput; Comprises adaptation policies for spectrum sharing in cognitive radio such as power and rate adaptation in fading environment; Outline cross-layer optimization work related to wireless and cognitive radio network. Includes supplementary material: sn.pub/extras

Autorentext

Shweta Pandit has received B. Tech. (Honours) degree from Himachal Pradesh University, Shimla, India in 2010. She also received M. Tech. and Ph D degree in Electronics and Communication Engineering from the Department of Electronics and Communication Engineering, Jaypee University of Information Technology, Waknaghat, Solan, India in 2012 and 2015, respectively. Currently, she is working as Assistant Professor in the Department of Electronics and Communication Engineering, Jaypee University of Information Technology, Waknaghat, Solan, India. Her area of research interests is next generation communication system, cognitive radio, wireless network, and capacity enhancement and interference reduction in wireless channel.

Professor G. Singh received PhD degree in Electronics Engineering from the Indian Institute of Technology, Banaras Hindu University, Varanasi, India, in 2000. He was associated with Central Electronics Engineering Research Institute, Pilani, and Institute for Plasma Research, Gandhinagar, India, respectively, where he was Research Scientist. He had also worked as an Assistant Professor at Electronics and Communication Engineering Department, Nirma University of Science and Technology, Ahmedabad, India. He was a Visiting Researcher at the Seoul National University, Seoul, South Korea. At present, he is Professor with the Department of Electronics and Communication Engineering, Jaypee University of Information Technology, Wakanaghat, Solan, India. He is an author/co-author of more than 200 scientific papers of the refereed Journal and International Conferences. His research and teaching interests include RF/Microwave Engineering, Millimeter/THz Wave Antennas and its Applications in Communication and Imaging, Next Generation Communication Systems (OFDM and Cognitive Radio), and Nanophotonics. He has more than 14 years of teaching and research experience in the area of Electromagnetic/Microwave Engineering, Wireless Communication and Nanophotonics. He has supervised various Ph. D. and M. Tech. theses. He has worked as a reviewer for several reputed Journals and Conferences. He is author of two books Terahertz Planar Antennas for Next Generation Communication and MOSFET Technologies for Double-Pole Four-Throw Radio-Frequency Switch published by Springer.

Inhalt
Cognitive Radio Communication System¾Spectrum Sharing Techniques.- Spectrum Sensing in Cognitive Radio: Potential Techniques and Future Perspective.- Medium Access Control Protocol for Distributed Cognitive Radio Network.- Distributed Cognitive Radio Medium Access Control Protocol in Perfect and Imperfect Channel Sensing Scenarios.- Throughput Enhancement using Bandwidth Wastage in MAC Protocol of the Distributed Cognitive Radio Network.- Power Allocation for Optimum Energy Efficiency in MAC Protocol of Cognitive Radio Communication System.- Frame Structure for Throughput Maximization in Cognitive Radio Communication.- Capacity Limits over Fading Environment with Imperfect Channel State Information for Cognitive Radio Network.- Channel Capacity of Cognitive Radio in Fading Environment with CSI and Interference Power Constraints.- Framework for Cross-Layer Optimization in Cognitive Radio Network.

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