Machine Learning for Radio Resource Management and Optimization in 5G and Beyond
Mariya Ouaissa
ISBN 10: 1032846550 ISBN 13: 9781032846552
Published by Taylor & Francis Ltd Jul 2026, 2026
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Taschenbuch
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About this Item
Description:
Neuware - 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. Seller Inventory # 9781032846552
Synopsis:
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.
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Bibliographic Details
Title: Machine Learning for Radio Resource ...
Publisher: Taylor & Francis Ltd Jul 2026
Publication Date: 2026
Binding: Taschenbuch
Condition: Neu