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Paradigms of Smart and Intelligent Communication, 5G and Beyond

  • Book
  • © 2023

Overview

Editors:
  1. Amrita Rai

    1. G L Bajaj Institute of Technology and Management, Greater Noida, India

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  2. Dinesh Kumar Singh

    1. G L Bajaj Institute of Technology and Management, Greater Noida, India

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  3. Amit Sehgal

    1. Electrical Electronics and Communication Engineering (EECE), Sharda University, Greater Noida, India

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  4. Korhan Cengiz

    1. Electrical and Electronics Engineering Department, Trakya University Faculty of Engineering, Trakya, Türkiye

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  • Provides insight to prospective research and application areas related to industry and technology
  • Useful for researchers working on smart communication and 5G network
  • Provides real life applications of smart communication

Part of the book series: Transactions on Computer Systems and Networks (TCSN)

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Table of contents (15 chapters)

  1. Front Matter

    Pages i-xii
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  2. Artificial Cognitive Computing for Smart Communications, 5G and Beyond

    • Amsini, Uma Rani, Amrita Rai
    Pages 1-16

  3. Green IoT Networks Using Machine Learning, Deep Learning for 5G Networks

    • Neha Jain, Ritesh Pratap Singh, Harsh Arora, Krishanu Kundu
    Pages 17-41

  4. Integration of IoT and 5G Communication

    • Seema Nayak, Pankaj Jha, Manoj Nayak
    Pages 43-56

  5. Role of IoT and Antenna Array in Smart Communication and 5G

    • Krishanu Kundu, Amrita Rai, Ritesh Pratap Singh
    Pages 57-81

  6. Machine Learning and Deep Reinforcement Learning in Wireless Networks and Communication Applications

    • Om Prakash, Prabina Pattanayak, Amrita Rai, Korhan Cengiz
    Pages 83-102

  7. Detection of Consumption of Alcohol Using Artificial Intelligence

    • Anubhav Thapliyal, Arunendra P. Singh, Rashmi Priyadarshini
    Pages 103-111

  8. Application of Machine Learning in Finger Vein Pattern Recognition

    • Rahul Dev, Krishanu Kundu, Astha Sharma, Shiv Narain Gupta
    Pages 113-128

  9. Machine Learning Techniques for Anomaly Detection Application Domains

    • Alka Chaudhary, Reshu Agarwal
    Pages 129-147

  10. Application of AI & ML in 5G Communication

    • Lipsa Das, Biswa Mohan Sahoo, Ajay Rana, Khushi Dadhich, Smita Sharma, Suman Avdhesh Yadav
    Pages 149-170

  11. Software Defined Network-Based Management Architecture for 5G Network

    • Catherine Nayer Tadros, Bassem Mokhtar, Mohamed R. M. Rizk
    Pages 171-195

  12. Reversible Logic Based Single Layer Flip Flops and Shift Registers in QCA Framework for the Application of Nano-communication

    • Rupali Singh, Pankaj Singh
    Pages 197-219

  13. Machine Learning Technique for Few-Mode Fiber Design with Inverse Modelling for 5G and Beyond

    • Bhagyalaxmi Behera, Abhishek Das, Mihir Narayan Mohanty
    Pages 221-243

  14. IoT for Landslides: Applications, Technologies and Challenges

    • Amrita Mohan, Ramji Dwivedi, Basant Kumar
    Pages 245-259

  15. A Review: Dust Cleaning Approach of Solar Photovoltaic System Using IOT & ML

    • Kunwar Babar Ali, Zaiba Ishrat, Seema Nayak
    Pages 261-276

  16. Prediction of Heart Disease Using Hybrid Machine Learning Technique

    • Nagaraj M. Lutimath, Chandra Mouli, B. K. Byre Gowda, K. Sunitha
    Pages 277-293
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Keywords

About this book

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 IoT. 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 IoT 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.


Editors and Affiliations

  • G L Bajaj Institute of Technology and Management, Greater Noida, India

    Amrita Rai, Dinesh Kumar Singh

  • Electrical Electronics and Communication Engineering (EECE), Sharda University, Greater Noida, India

    Amit Sehgal

  • Electrical and Electronics Engineering Department, Trakya University Faculty of Engineering, Trakya, Türkiye

    Korhan Cengiz

About the editors

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, IoT 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 IoT, 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 IoT.


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.

Bibliographic Information

  • Book Title: Paradigms of Smart and Intelligent Communication, 5G and Beyond

  • Editors: Amrita Rai, Dinesh Kumar Singh, Amit Sehgal, Korhan Cengiz

  • Series Title: Transactions on Computer Systems and Networks

  • DOI: https://doi.org/10.1007/978-981-99-0109-8

  • Publisher: Springer Singapore

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023

  • Hardcover ISBN: 978-981-99-0108-1Published: 24 May 2023

  • Softcover ISBN: 978-981-99-0111-1Due: 24 June 2023

  • eBook ISBN: 978-981-99-0109-8Published: 23 May 2023

  • Series ISSN: 2730-7484

  • Series E-ISSN: 2730-7492

  • Edition Number: 1

  • Number of Pages: XII, 293

  • Number of Illustrations: 33 b/w illustrations, 116 illustrations in colour

  • Topics: Artificial Intelligence, Machine Learning, Communications Engineering, Networks

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