Amrita Rai & Dinesh Kumar Singh 
Paradigms of Smart and Intelligent Communication, 5G and Beyond [PDF ebook] 

This book focuses on both theory and applications of Artificial Intelligence and Machine Learning in the broad areas of communication and networking. This book focuses on the ongoing research work and future scope for various open research issues related to sustainable design, development, and analysis of smart communication, 5G and beyond, with the integration of Artificial intelligence and Io T. It addresses fundamental technology components for 5G and beyond, which include modern advancements in communication and networking in a real-world application. The book presents the convergence of Artificial Intelligence, Machine Learning, and Io T with 5G and beyond wireless networks to give some ice-breaking solutions in radio resource allocation, network management, and cybersecurity. This book will be a valuable resource for academicians, researchers, and professionals working in artificial intelligence/machine learning and its applications in communication and 5G.

Jadual kandungan

Artificial Cognitive Computing for Smart Communications.- Green Io T using Machine Learning, Deep Learning Models for 5G Networks.- Integration of IOT and 5G Communication.- Role of Io T in Smart Communication and 5G using Antenna Array.- Applications of Deep Reinforcement Learning in Wireless Networks.- Detection of Consumption of Alcohol Using Artificial Intelligence.- Analysis of Finger Vein Pattern Recognition Technique using Machine Learning.- Machine Learning Techniques for Anomaly Detection.- Application of AI & ML in 5G Communication.- Software Defined Network-based Management Architecture for 5G Network.- Reversible Logic Based Single Layer Flip Flops and Shift Registers in QCA Framework for the Application of Nano-communication.- Machine Learning Technique for Few-mode Fiber Design with Inverse Modelling for 5G and Beyond.- Io T for Landslides: Applications, Technologies and Challenges.- A Review: Dust Cleaning Approach of Solar Photovoltaic System Using Emerging Technology.- Prediction of Heart Disease Using Hybrid Machine Learning Technique.

Mengenai Pengarang

Amrita Rai received her B.Tech. degree from Nagpur University, M.Tech. degree from Maharishi Dayanand University, Rohtak, and a Ph.D. degree from Thapar University, Patiala, in 1998, 2007, and 2015, respectively. She has over 21 years of teaching, research, and administrative experience. She had published several reputed international/SCI papers and attended various national & international conferences. She has guided more than 20 postgraduate and 100 undergraduate theses. She has written a book and 6 book chapters. She has filed six patents and delivered expert lectures on smart sensors transforming healthcare systems, Io T and sensors, and adaptive signal processing in many universities and colleges.

Dinesh Kumar Singh received B.E. in Electronics and Communication Engineering from Kumaon Engineering College, India in 2003. He pursued his M.Tech. in Digital Communication from RGPV University, India, and his Ph.D. from the Indian Institute of Technology (ISM), Dhanbad, India. His area of interest is microwave engineering. He is currently an Associate Professor in the Electronics and Communication Engineering Department at the G.L. Bajaj Institute of Technology and Management, India. His further research areas are designing high gain, compact, re-configurable, fractal-shape, circularly polarized microstrip antennas, substrate integrated waveguide, and magneto-electric dipole antennas for a modern communication system. He has been credited with publishing several research papers in reputed international journals and conferences.


Amit Sehgal is Ph.D. in Electronics Engineering from Dr. A P J Abdul Kalam Technical University, India. He completed his M.Tech. from Guru Nanak Dev Engineering College, India, and his B.E. from C R State College of Engineering. He has over 20 years of experience in the industry, academia, and research. He has contributed to several research and development projects in thefield of wireless networks, health informatics, and Io T, including corporate and international academic collaboration. Several projects guided by him have received project grants under various state and central government schemes. He is a voluntary startup mentor for Atal Innovation Mission Incubators and Atal Tinkering Labs. He has been contributing to the startup ecosystem by mentoring innovators and early-age startups. On completion of his Cambridge Certification for International Teachers and Trainers and Dale Carnegie Certificate for High Impact Teaching Skills, he made a significant contribution to the pedagogic uplift of engineering education by serving as Master Trainer for Mission 10X – a faculty development initiative by Wipro Technologies, for over two years. He has more than 35 research papers in journals and conferences. His research interests include wireless networks, remote monitoring systems, and Io T.

Korhan Cengiz is an Assistant Professor in the Department of Engineering at Trakya University, Turkey. Dr. Cengiz completed his Ph.D. at the Department of Electronics Engineering at Kadir Has University. He is the author of more than 40 papers in the field of communications. He participated as a keynote speaker at several conferences. He has numerous referee and editor positions in several journals and conferences.