Machine Learning for Radio Resource Management and Optimization in 5G and Beyond, Kartoniert / Broschiert
Machine Learning for Radio Resource Management and Optimization in 5G and Beyond
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- Herausgeber:
- Mariyam Ouaissa, Mariya Ouaissa, Hanane Lamaazi
- Verlag:
- Taylor & Francis Ltd, 07/2026
- Einband:
- Kartoniert / Broschiert
- Sprache:
- Englisch
- ISBN-13:
- 9781032846552
- Artikelnummer:
- 12816334
- Umfang:
- 250 Seiten
- Gewicht:
- 357 g
- Maße:
- 234 x 156 mm
- Stärke:
- 13 mm
- Erscheinungstermin:
- 20.7.2026
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
Machine Learning for Radio Resource Management and Optimization in 5G and Beyondhighlights 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.
