
Wireless Communication with Artificial Intelligence
Description
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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.
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Persons
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).
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