Spectrum and Power Allocation in Cognitive Radio Systems

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.

Kannadhasan Suriyan - Contributing Author/

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, Tamilnadu, India. His current research interest includes Power Electronics, Power System, Network Security, Cloud Computing, Wireless Sensor Communication, Digital Image Processing, Data Mining, Soft Computing Techniques and Renewable Energy Sources. He is published more than 120 Research Articles in various referred International Journals and he is published more than 60 Books & Book Chapter in various referred international Publications.