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books
| book details |
Machine Learning for Radio Resource Management and Optimization in 5G and Beyond
Edited by Mariyam Ouaissa, Edited by Mariya Ouaissa, Edited by Hanane Lamaazi, Edited by Khadija Slimani, Edited by Ihtiram Raza Khan, Edited by B. Sundaravadivazhagan
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| on special |
normal price: R 2 228.95
Price: R 2 005.95
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| book description |
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.
| product details |
Normally shipped |
Publisher | Taylor & Francis Ltd
Published date | 20 Jul 2026
Language |
Format | Paperback / softback
Pages | 234
Dimensions | 234 x 156 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-1-0328-4655-2
Readership Age |
BISAC |
| other options |
Normally shipped |
Readership Age |
Normal Price | R 2 852.95
Price | R 2 567.95
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Matt Dinniman
Paperback / softback
480 pages
was: R 522.95
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An epic love story with the pulse of a thriller that asks: what would you risk for a second chance at first love?
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