Mobile Radio Communications and 5G Networks

This book features selected high-quality papers from the Forth International Conference on Mobile Radio Communications and 5G Networks (MRCN 2023), held at University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra, India, during August 2526, 2023. The book features original papers by active researchers presented at the International Conference on Mobile Radio Communications and 5G Networks. It includes recent advances and upcoming technologies in the field of cellular systems, 2G/2.5G/3G/4G/5G, and beyond, LTE, WiMAX, WMAN, and other emerging broadband wireless networks, WLAN, WPAN, and various home/personal networking technologies, pervasive and wearable computing and networking, small cells and femtocell networks, wireless mesh networks, vehicular wireless networks, cognitive radio networks and their applications, wireless multimedia networks, green wireless networks, standardization of emerging wireless technologies, power management and energy conservation techniques.

Discusses results of MRCN 2023 held in Kurukshetra, India Presents research works in mobile radio communications and 5G networks Serves as a reference for researchers and practitioners in academia and industry

Auteur

Dr. Nikhil Marriwala is working as Assistant Professor Electronics and Communication Engineering Department, University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra. He did his Ph.D. from National Institute of Technology (NIT), Kurukshetra, in the department of ECE. He has more than 20 years of experience teaching graduate and postgraduate students. He has more than 20 years of experience teaching graduate and postgraduate students. More than 33 students have completed their M-Tech dissertation under his guidance. He has published more than 05 book chapters in different International books, has authored more than 10-books with Pearson, Wiley, etc. and has more than 40 publications to his credit in reputed International Journals (SCI, SCIE, ESCI, and Scopus) and 20 papers in International/National conferences. He has been granted 08 Patents with 02 Indian patents and 06 International Patents. He has been Chairman of Special Sessions in more than 22 International/National Conferences and has delivered a keynote address at more than 7 International conferences. He has also acted as organizing secretary for more than 05 International conferences and 01 National Conference. He has delivered more than 70 Invited Talks/ Guest Lectures in leading Universities/Colleges PAN India. He is having additional charge of Training and Placement Officer, UIET, Kurukshetra University, Kurukshetra for more than 11 years now. He is editor of more than 05 book proceedings with Springer and guest editor for special session in Journal Measurement and Sensors, Elsevier. He has also been awarded as the "Career Guru of the Month" award by Aspiring Minds. His areas of interests are Software Defined Radios, Cognitive Radios, Soft Computing, Wireless Communications, Wireless Sensor Networks, Fuzzy system design, and Advanced Microprocessors.

Dr. Sunil Dhingra is currently serving as Dean of Faculty of Engineering & Technology, Kurukshetra University Kurukshetra, and Director of University Institute of Engineering & Technology (UIET), KUK. He completed his Ph.D. in the area of Semiconductor Electronics and Instrumentation. He is also having the charge of Proctor and Chief Vigilance Officer at Kurukshetra University. He is constantly at fore front lines for students and for their careers; he is serving as a Professor Incharge, Kurukshetra University Centre for Training, internship and employment. He also held roles such as Director of IT Cell and Chairman of the Department of Instrumentation in the past. His primary aim is always to make various institutions of university to be recognized as a globally centre of academic excellence.

Dr. Shruti Jain is Associate Professor in the Department of Electronics and Communication Engineering at Jaypee University of Information Technology, Waknaghat, H.P, India, and has received her Ph.D. in Biomedical Image Processing. She has a teaching experience of around 15 years. Her research interests are Image and Signal Processing, Soft Computing, Bio-inspired Computing, and Computer-Aided Design of FPGA and VLSI circuits. She has published more than 10 book chapters, 60 papers in reputed journals, and 40 papers in international conferences. She has also published five books. She is Senior Member of IEEE, Life Member and Editor-in-Chief of Biomedical Engineering Society of India, and Member of IAENG. She has completed one externally funded project and one in the pipeline. She has guided 01 Ph.D. student and now has 06 registered students. She is Member of the Editorial Board of many reputed journals. She is also Reviewer of many journals and Member of TPC of different conferences. She was awarded by Nation Builder Award in 2018-19.

Prof. Dinesh Kumar completed B.Tech. from IIT Madras and Ph.D. from IIT Delhi and is Professor at RMIT University, Melbourne, Australia. He has published over 400 papers, authored 5 books, and is on a range of Australian and international committees for Biomedical Engineering. His passion is for affordable diagnostics and making a difference for his students. His work has been cited over 5600 times, and he has also had multiple successes with technology translation. He is Member of Therapeutics Goods Administration (TGA), Ministry of Health (Australia) for medical devices. He is also on the editorial boards for IEEE Transactions of Neural Systems and Rehabilitation Engineering and Biomedical Signals and Controls. He has been Chair of large number of conferences and given over 50 keynotes speeches.

Contenu
Deep learning Assisted Diagnosis of Parkinson's Disease.- Deep Learning: How to Apply Machine Learning and Deep Learning Methods to Audio Analysis.- Naive Bayes Classifier-Based Smishing Detection Framework to Reduce Cyber Attack.- A Novel System for Finding Shortest Path in a Network Routing Using Hybrid Evolutionary algorithm.- Emotion Analysis and Gender Identification Using Partial Face Detection.