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

[Roman99]

Mariyam Ouaissa, Mariya Ouaissa, Hanane Lamaazi, "Machine Learning for Radio Resource Management and Optimization in 5G and Beyond"
English | 2025 | ISBN-13: 9781032844732 | 248 pages | PDF+EPUB | 12.34 MB

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.

Artificial Intelligence/Machine Learning (AI/ML) approaches are promising tools to tackle the big challenges in wireless communications networks imposed by the increasing demands in terms of capacity, coverage, latency, efficiency, flexibility, compatibility, quality of experience, and silicon convergence. ML techniques can provide intelligent communication designs while addressing various problems ranging from signal detection, to channel modeling, network optimization, resource management, and multiple access.

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[rajivkumar]

not able to open this site. Is it possible to upload in some other site