Wireless Communication with Artificial Intelligence
Emerging Trends and Applications
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This reference text discusses advances in wireless communication, design challenges, and future research directions to design reliable wireless communication.
The text discusses emerging technologies including wireless sensor networks, Internet of Things (IoT), cloud computing, mm-Wave, Massive MIMO, cognitive radios (CR), visible light communication (VLC), wireless optical communication, signal processing, and channel modeling. The text covers artificial intelligence-based applications in wireless communication, machine learning techniques and challenges in wireless sensor networks, and deep learning for channel and bandwidth estimation during optical wireless communication.
The text will be useful for senior undergraduate, graduate students, and professionals in the fields of electrical engineering, and electronics and communication engineering.
Table of Contents
1. ADVANCED WIRELESS COMMUNICATIONS FOR FUTURE TECHNOLOGIES-6G AND BEYOND6G 2. Comprehensive Method of Distributed Denial of Service Detection by Artificial Neural Network 3. Energy-Efficient Massive MIMO for Future Generation Wireless Communication Systems 4. IoT Based One-to-One Security Web Application for Smart Home 5. Use of Multi-Channels and MAC layer issues in Mobile ad Hoc Networks: A Detailed Review 6. Maximum utilization of WDM-PON resources to enhance reachability of access network 7. Observations on Learning and Tracking Challenges of Online Microwave Engineering Teaching 8. Performance Analysis of OOK and L-PPM modulated VLC system with Imperfect CSI over LOS and Non-LOS channel. 9. Narrowband Internet of Things (NB-IoT)- Analysis of Deployment Mode and Radio Coverage 10. Design of Printed Dipole Antenna Array for Directional Sensing Applications 11. Analysis of Energy Efficient Narrowband Internet of Things (NB-IoT): LPWAN Comparison, Challenges, and Opportunities 12. Comprehensive Analysis of S-Parameters of 2-D MODFET for Microwave Applications 13. U-Shape Planar Antenna Design Effects using CST 14. SMART TRAFFIC LIGHT CONTROLLER USING EDGE DETECTION IN DIGITAL SIGNAL PROCESSING 15. Performance Analysis of Non-Orthogonal Multiple Access over Orthogonal Multiple Access 16. ADVANCED WIRELESS CUM DIGITAL HEALTH CARE AND ARTIFICIAL HUMAN 17. Data Security on Internet of Things Devices Using the Public-Key Cryptography Method 18. PAPR Reduction in MIMO-OFDM System using Artificial Neural Network
Anuj Singal is presently working as an assistant professor, department of electronics and communication engineering, Guru Jambheshwar University of Science and Technology, Haryana, India. His current research interests include wireless communication, optical communication, antenna, and machine learning. He has published 36 research papers in various international/national journals (including IEEE, Elsevier, Springer, etc.) and proceedings of the reputed international/ national conferences (including Springer and IEEE). He is acting as a reviewer of SCI and Scopus index international journals. Sandeep Kumar is presently working as a professor, department of electronics & communication engineering, Sreyas Institute of Engineering & Technology, Hyderabad, India. His area of research includes embedded systems, image processing, biometrics, and machine learning. He has filed successfully 7 national and 1 international patents. He has published 70 research papers in various international/national Journals (including IEEE, Springer, etc.) and proceedings of the reputed international/ national conferences (including Springer and IEEE). He has been awarded as “Young Researcher Award” in Thailand, 2018. He is an active member of 17 various professional international societies. He has been nominated in the board of editors/reviewers of 30 peer-reviewed and refereed Journals (including IEEE, Springer). Sajjan Singh is working as a professor & head, department of electronics & communication engineering, Chandigarh Group of Colleges, Punjab, India. He has published 47 research papers in reputed international and national journals. He is acting as a reviewer of SCI and Scopus index international journals like the International Journal of Electronics. His research interests include all most all aspects of wireless communication with special emphasis on orthogonal frequency-division multiplexing (OFDM), multiple-input, multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM), single-carrier frequency-division multiple access scheme (SC-FDMA), channel modeling and Internet of Things (IoT). Ashish Kr. Luhach is presently working as an associate professor, department of electrical & communication engineering, The PNG University of Technology, Papua New Guinea. His current research interests include wireless Ad-hoc network, artificial network, image processing, cloud computing, and machine learning. He has published 60 research papers in various international/national journals (including IEEE, Springer, etc.) and proceedings of the reputed international/ national conferences (including Springer and IEEE). He has been nominated in the board of editors/reviewers of peer-reviewed and refereed Journals (including IEEE, Springer).