TY - BOOK
T1 - Machine Learning for Radio Resource Management and Optimization in 5G and Beyond
AU - Ouaissa, Mariyam
AU - Ouaissa, Mariya
AU - Lamaazi, Hanane
AU - Slimani, Khadija
AU - Khan, Ihtiram Raza
AU - Sundaravadivazhagan, B.
N1 - Publisher Copyright:
© 2025 selection and editorial matter, Mariyam Ouaissa, Mariya Ouaissa, Hanane Lamaazi, Khadija Slimani, Ihtiram Raza Khan, and B. Sundaravadivazhagan.
PY - 2025/1/1
Y1 - 2025/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85218666009&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85218666009&partnerID=8YFLogxK
U2 - 10.1201/9781003514336
DO - 10.1201/9781003514336
M3 - Book
AN - SCOPUS:85218666009
SN - 9781032844732
BT - Machine Learning for Radio Resource Management and Optimization in 5G and Beyond
PB - CRC Press
ER -