Machine Learning for Radio Resource Management and Optimization in 5G and Beyond

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Machine Learning for Radio Resource Management and Optimization in 5G and Beyond is written by Mariyam Ouaissa and published by CRC Press. It's available with International Standard Book Number or ISBN identification 1040327613 (ISBN 10) and 9781040327616 (ISBN 13).

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.