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Full Description
Machine Learning for Radio Resource Management and Optimization in 5G and Beyond highlights a new line of research that uses innovative technologies and methods based on artificial intelligence/machine learning techniques to address issues and challenges related to radio resource management in 5G and 6G communication systems. This book provides comprehensive coverage of current and emerging waveform design, channel modeling, multiple access, random access, scheduling, network slicing, and resource optimization for 5G wireless networks and beyond.
This book is suitable for researchers, scholars, and industry professionals working in different fields related to mobile networks and intelligent systems. Additionally, it serves as a hands‑on resource for students interested in the fields of cellular networks (5G/6G) and computational intelligence.
Contents
Chapter 1 ◾ Fundamentals of 5G and beyond networks
Mariya Ouaissa and Mariyam Ouaissa
Chapter 2 ◾ Optimizing resource allocation in intelligent communication networks: Fundamentals and challenges
S. Mayukha and R. Vadivel
Chapter 3 ◾ Radio resource management for M2M communications in cellular networks
Mariyam Ouaissa and Mariya Ouaissa
Chapter 4 ◾ Integrating blockchain for secure and efficient radio resource management in 5G and beyond networks
D. Suganya, S. Sri Saye Lakshmi, R. Jayalakshmi, and V. Kavitha
Chapter 5 ◾ Federated learning for intelligent network management in 5G
B. Sundaravadivazhagan, N.A. Natraj, and S. Gopinath
Chapter 6 ◾ Non‑orthogonal multiple access wireless systems using deep learning
Rudraksh Gohil and S. Deepa
Chapter 7 ◾ Advancements in machine learning techniques for optimization of massive MIMO design
Avula Mahathi, C. Kishor Kumar Reddy, Kari Lippert, and Marlia M. Hanafiah
Chapter 8 ◾ Predictive modeling of household power consumption using machine learning and meta‑heuristic optimization technique
E. Chandra Blessie, B. Sundaravadivazhagan, V. Kumutha, and V. Sumesh
Chapter 9 ◾ Intelligent reinforcement learning‑based scheduling in 5G networks and beyond
Elarbi Badidi, Omar El Harrous, and Hanane Lamaazi
Chapter 10 ◾ AR/VR‑based object detection for blind people using 5G communication
C. Supraja and T. Kavitha
Chapter 11 ◾ Exploring sentiment patterns in social media networks: The impact of AI, deep learning, and large models in the 5G landscape
Oussama El Azzouzy, Tarik Chanyour, Said Jai Andaloussi, Khadija El Fellah, and Habiba Bouijij
Chapter 12 ◾ 5G and AI‑based data fusion in intelligent networks
Hanane Lamaazi and Elarbi Badidi
