Smart Antennas, Electromagnetic Interference and Microwave Antennas for Wireless Communications
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This book covers all areas of smart antennas, electromagnetic interference, and microwave antennas for wireless communications. Smart antennas or adaptive antennas are multi-antenna components on one or both sides of a radio communication connection, combined with advanced signal processing algorithms. They've evolved into a critical technology for third-generation and beyond mobile communication systems to meet their lofty capacity and performance targets. It seems that a significant capacity gain is achievable, particularly if they are employed on both sides of the connection. There are several essential characteristics of these systems that need scientific and technical investigation. Included in the book are beamforming, massive MIMO, network MIMO, mmwave transmission, compressive sensing, MIMO radar, sensor networks, vehicle-to-vehicle communication, location, and machine learning.
Dr. S. Kannadhasan is Assistant Professor in the department of Electronics and Communication Engineering in Cheran College of Engineering, Karur, Tamilnadu, India. He is currently doing research in the field of smart antenna for Anna University. He has ten years of teaching and research experience. He obtained his B.Eng. in ECE from Sethu Institute of Technology, Kariapatti in 2009 and his M.Eng. in Communication Systems from Velammal College of Engineering and Technology, Madurai in 2013. He obtained his M.B.A. in Human Resources Management from Tamilnadu Open University, Chennai, a PGVLSI diploma in VLSI design from Annamalai University, Chidambaram in 2011, a PGDCA diploma in Computer Applications from Tamil University in 2014, and a PGDRD diploma in Rural Development from Indira Gandhi National Open University in 2016. He has published 18 papers in reputed indexed international journals and more than 125 papers presented/published in national and international journals and conferences. He also serves as a board member, reviewer, speaker, session chair, advisory and technical committee of various colleges and conferences. His areas of interest are smart antennas, digital signal processing, wireless communication, wireless networks, embedded system, network security, optical communication, microwave antennas, electromagnetic compatibility and interference, wireless sensor networks, digital image processing, satellite communication, cognitive radio design and soft computing techniques.
Dr. R. Nagarajan received his B.Eng. in Electrical and Electronics Engineering from Madurai Kamarajar University, Madurai, India, in 1997, his M.Eng. in Power Electronics and Drives from Anna University, Chennai, India, in 2008, and his Ph.D. in Electrical Engineering from Anna University, Chennai, India, in 2014. He has worked in industry as an Electrical Engineer. He is currently working as Professor of Electrical and Electronics Engineering at Gnanamani College of Technology, Namakkal, Tamilnadu, India. He has published more than 70 papers in international journals and conferences. His research interest includes power electronics, power system, communication engineering, network security, soft computing techniques, cloud computing, big data analysis and renewable energy sources.
Dr. Alagar Karthick is Associate professor in the Electrical and Electronics Engineering department in KPR Institute of Engineering and Technology, Coimbatore, Tamilnadu, India. He has published more than 30 papers in international journals and is also reviewer for various journals such as Solar Energy, Fuel, Journal of Cleaner Production, Heliyon, Building Services Engineering Research and Technology. He received his D.Phil. in the field of Building Integrated Photovoltaics from Anna University, Chennai in 2018, has a Master's degree in Energy Engineering, and a bachelor degree in Electrical and Electronics Engineering. He received the Best Paper Award for his research article on biomass conversion. His research areas includes solar photovoltaics, bioenergy, zero energy buildings, energy with artificial intelligence, machine learning and deep learning algorithms.
Dr. Aritra Ghosh is a Lecturer in Renewable Energy, University of Exeter, Penryn, U.K. Prior to starting this position, he was Post-Doctoral Research Fellow in the same department. Previously, he worked as a Research Associate at The Centre for Industrial and Engineering Optics, Technological University, Dublin, Ireland. He has a Ph.D. in Building Engineering from Dublin Energy Lab, Technological University, Dublin, Ireland. He is a member of the Renewable Energy Group in the College of Engineering, Mathematics and Physical Sciences and also part of the interdisciplinary Environment and Sustainability Institute.
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