Items related to Machine Learning for Radio Resource Management and...
- PublisherCRC Press
- Publication date2025
- ISBN 10 1032844736
- ISBN 13 9781032844732
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages248
- EditorOuaissa Mariyam, Ouaissa Mariya, Lamaazi Hanane, Slimani Khadija, Khan Ihtiram Raza, Sundaravadivazhagan B.
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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 (Hardcover)
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Taylor & Francis Ltd, London, 2025
ISBN 10: 1032844736
ISBN 13: 9781032844732
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Hardcover. Condition: new. Hardcover. 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 handson resource for students interested in the fields of cellular networks (5G/6G) and computational intelligence. This book highlights 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 a comprehensive coverage of current and emerging waveform design, channel modeling and more. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781032844732
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