This book features selected high-quality papers from the Sixth International Conference on Mobile Radio Communications and 5G Networks (MRCN 2025), held at University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra, India, during August 2223, 2025. This 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 2025 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

Autorentext

Dr. Nikhil Kumar Marriwala is an associate professor in Electronics and Communication Engineering at UIET, Kurukshetra University, with over 21 years of teaching experience. He holds a Postdoc, Ph.D., M.Tech., and B.Tech., and has supervised one Ph.D., guiding two more, along with mentoring over 33 M.Tech. dissertations. He has authored more than 10 books with reputed publishers, published 35+ research papers, presented 30 conference papers, and holds eight patents. He serves as the training and placement officer and is SPOC for SWAYAM NPTEL and Infosys Campus Connect.

Prof. Dinesh Kumar completed B.Tech. from IIT Madras and Ph.D. from IIT Delhi and is a professor at RMIT University, Melbourne, Australia. He is a fellow of Australasian Institute of Digital Health. He has published over 400 papers, authored 8 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 8400 times, and he has also had multiple successes with technology translation. He is a member of Therapeutics Goods Administration (TGA), Ministry of Health (Australia) for medical devices.

Dr. Shruti Jain is the dean (Academics) and professor in Electronics and Communication Engineering at Jaypee University of Information Technology, Waknaghat. She holds a D.Sc. in ECE and has around 20 years of teaching experience. She has filed 16 patents (8 granted) and published over 150 research papers, 31 book chapters, and 21 books. She has completed two government-funded projects and supervised 9 Ph.D. scholars, with 5 currently enrolled, along with 16 M.Tech. and 125+ B.Tech. students. She has chaired 17 IEEE and Springer conferences.

Dr. Vinod Kumar Shukla is currently working with Amity University, Dubai, U.A.E., as an associate professor and head of Academics for the Engineering Architecture and Interior Design department. He has more than 15 years of experience. He has completed his Ph.D. in Semantic Web and Ontology and is an active member of IEEE. He has authored 100+ research publications in journals, book chapters, and Conferences and have 500+ plus Scopus citations.

Dr. Sunil Dhingra serves as the dean of the Faculty of Engineering & Technology and director of UIET at Kurukshetra University. He holds a Ph.D. in Semiconductor Electronics and Instrumentation. He also serves as the proctor and chief vigilance officer and is a professor incharge of the University Centre for Training, Internship, and Employment. Previously, he has been the director of IT Cell and chairman of Instrumentation. He is dedicated to advancing academic excellence and student career development.

Inhalt

Zero Day Malware Detection Using Hybrid Deep Learning Model GRU and LSTM.- A Comprehensive Hybrid Ensemble Framework for Software Fault Prediction.- Deep Search:An Approach Towards Tamil Character Recognition In Ancient Inscriptions.- Lunar Surface Scattering Mechanisms Revealed Through Polarization Channel Outputs and Signature Analysis from Chandrayaan-2 SAR.- A Hybrid EfficientNetB0 and Metadata Fusion Model for Binary Skin Cancer Detection.- Machine Learning at the Crossroads of Industry and Ecology: A Case Study of Haridwar's SIDCUL Using GEE.- Silicon Wafer Defect Detection Using CNN and VGG16-Based Transfer Learning.- Green Intelligence: Energy-Efficient Power Management in Software-Defined Wireless Infrastructures.- Heterogeneous Harmony: Optimizing Inter-networking in Multi-Tier Wireless Environments.- AI-Enabled High-Gain Micro-Strip Antenna for Defense System.- Comparative performance analysis of IFP-Augmented, Cluster-based, and Multipath routing techniques in VANET Environment.- A Robust Ensemble Method for Liver Disorder Detection.- Wearable Multi-Band Microstrip Patch Antennas for Wireless communications and IoT Applications.- Temporal Dynamics of Galvanic Skin Response for Cognitive Stress Detection.- Automated 3D Modeling from 2D Floor Plans via YOLOv8-Driven Structural Feature Extraction.- Impact of Activation Functions on Deep Learning Models Based on Meta-Heuristics Algorithms for the Diagnosis of Breast Cancer.- Mining E-Commerce Data for Consumer Trend Pre-diction with ML.- Unsupervised Classification of Banana Ripening Phases using Principal Component Analysis and K-Means Clus-tering.- Voice2Sign: Automated Translation of Indian Sign Language Gestures from Speech Using Machine Learning.- Short-Term Solar Irradiance Forecasting for Energy-Efficient Infrastructure: A Deep Learning Case Study of Delhi.- Cybersecurity Challenges in 5G Networks: A Risk Management Framework for Threat Mitigation.- Heart Diseases Prediction Using Ensemble Model.- Development of a Power-Efficient Built-In Self-Test (BIST) Framework for Memory Systems.- Seismic Damage Prediction in Structures Using Neural Networks: A Deep Learning Approach for Earthquake-Resilient Design.- Assessment of Current Energy Management Techniques and Future Trends in Energy Harvesting Wireless Sensor Networks.- Multiuser Detection for NOMA-PD-SCMA System in Nakagami-m Fading Channel Using DNN Algorithm.- A Hybrid Heuristic Approach in High Workload Scheduling for Cloud Computing Using a combination of FCFS, HEFT and RASA.- Defakeit: AI-powered Deepfake Media Detection Model and Anti-Spoofing System.- Deep Learning Based Bone Mineral density Assessment for Opportunistic Osteoporosis.- 5G Network Coverage Analysis and Forecasting.- Algorithm-Driven Resource Allocation Framework For 5G Network Slicing.- Real-Time Positioning and Tracking System for 5G Networks.- A Novel 1-bit Fast and Low Power 17-T Full Adder Circuit at 45 nm Technology Node.- An Adaptive Hybrid Model for Accurate and Scalable Community Detection in Dynamic Social Networks.- Low-Power 4:2 Approximate Compressor Design with FinFET.- Smart Parking and Reservations System for Aerial Vehicles.- Landslide Prediction and Warning Systems using Wireless Sensor Networks.- Unveiling the Key Predictors of Adoption Intention towards Gen-AI chatbots of Higher Education Students.- Strategic Synergy: Integrating Harris Hawk Particle Swarm Optimization (HHPSO) and Deep LSTM for Robust Cancer Categorization with Microarray Data.- Adaptive AI for Pattern Recognition: Novel Techniques Using Unstructured Data for Computer Vision Application.