As wireless services rapidly expand, the inefficient use of limited spectrum resources poses a critical challenge. The conventional approach to spectrum allocation, based on fixed assignments, could be more effective in meeting the escalating demand for wireless devices and systems. Cognitive radio technology offers a transformative solution by reimagining the spectrum as a multidimensional space, enabling opportunistic access to underutilized bands. However, the field of cognitive radio is still in its early stages, needing more in-depth analyses and descriptions of crucial processes.

Spectrum and Power Allocation in Cognitive Radio Systems addresses this pressing need by offering a comprehensive guide for academic scholars, researchers, and industry professionals. This book delves into cognitive radio technology's foundations, organization, and challenges, providing insights into dynamic spectrum access, networking protocols, hardware architecture, and emerging applications. It presents advanced topics such as spectrum sensing algorithms, cooperative spectrum sensing, and multi-user access, offering practical solutions to enhance spectrum efficiency.

By exploring the latest advancements and best practices, Spectrum and Power Allocation in Cognitive Radio Systems equips readers with the knowledge to overcome the challenges in designing cognitive radios and networks. It serves as a valuable resource for understanding the complexities of cognitive radio technology, enabling scholars and professionals to make informed decisions in spectrum management and allocation. With its comprehensive approach, this book is poised to shape the future of wireless communication networks.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Architectures and Building Blocks of Cognitive Radio Networks
Challenges and Issues in Designing Cognitive Radios and Cognitive Radio Networks
Cognitive Medium Access Control, Interference Management, and Modeling
Dynamic Spectrum Access/Management
Dynamic Spectrum Sharing
Energy-Efficient Cognitive Radio Communications and Networking
Hardware Architecture and Implementations
Machine Learning Techniques for Cognitive Radio Systems
Modeling and Performance Evaluation
Networking Protocols for Cognitive Radio
Next Generation of Cognitive Networks
Privacy and Security of Cognitive Spectrum-Agile Networks
Quality of Service Provisioning in Cognitive Radio Networks
Resource Allocation for Multi-Antenna Based Cognitive Radio Communications
Standards and Business Models

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Editor/Author Biographies

Kannadhasan Suriyan is working as an Associate Professor in the department of Electronics and Communication Engineering in Study World College of Engineering, Tamilnadu, India. He is Completed the Ph.D in the field of Smart Antenna for Anna University in 2022. He is Twelve years of teaching and research experience. He obtained his B.E in ECE from Sethu Institute of Technology, Kariapatti in 2009 and M.E in Communication Systems from Velammal College of Engineering and Technology, Madurai in 2013.

Prof. R. Dhaya has 16 years experience in teaching and research in the field of Computer Science and Engineering. She published more than 80 research papers in peer reviewed international Journals. She was the recipient of IEI Young women Engineer award. Her areas of interests are wireless sensor networks, embedded systems, Machine Learning, Communication Systems.

R. Nagarajan received his B.E. in Electrical and Electronics Engineering from Madurai Kamarajar University, Madurai, India, in 1997. He received his M.E. in Power Electronics and Drives from Anna University, Chennai, India, in 2008. He received his Ph.D in Electrical Engineering from Anna University, Chennai, India, in 2014. He has worked in the industry as an Electrical Engineer. He is currently working as Professor of Electrical and Electronics Engineering at Gnanamani College of Technology, Namakkal, and Tamilnadu, India. His current research interest includes Power Electronics, Power System, Network Security, Wireless Sensor Networks, Cloud Computing, Image Processing, Soft Computing Techniques and Renewable Energy Sources. He is published more than 120 research papers and more than 60 Books & Book Chapters in various referred international Publications.

Alagar Karthick working as Associate professor in the Electrical and Electronics Engineering department in KPR Institute of Engineering and Technology, Coimbatore, Tamilnadu, India. He has Published more than 100 International Journal and also reviewer for various journals such as Solar Energy, Fuel, Journal of cleaner Production, Heliyon, Building services Engineering research and Technology. Hereceived his Doctor of Philosophy in the field of Building Integrated Photovoltaic (BIPV) from Anna University, Chennai in 2018. He received his Master degree from Energy Engineering and bachelor degree in Electrical and Electronics Engineering. He has received Best Paper Award for his research articles in Biomass conversion. His research area includes Solar Photovoltaic, Bioenergy, zero energy buildings, Energy with Artificial Intelligence, Machine learning and Deep learning algorithms.

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