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Published by TAYLOR & FRANCIS NP EXCLUSIVE(CBS), 2025
ISBN 10: 1032844736 ISBN 13: 9781032844732
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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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Buch. Condition: Neu. Machine Learning for Radio Resource Management and Optimization in 5G and Beyond | Mariyam Ouaissa (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2025 | CRC Press | EAN 9781032844732 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
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Published by 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.