Machine Learning for Radio Resource Management and Optimization in 5G and Beyond aims to highlight a new line of research that uses innovative technologies and methods based on AI/ML 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 modelling, 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.