Ny
bokomslag Machine Learning for Radio Resource Management and Optimization in 5G and Beyond
Vetenskap & teknik

Machine Learning for Radio Resource Management and Optimization in 5G and Beyond

Mariyam Ouaissa Mariya Ouaissa Hanane Lamaazi Khadija Slimani Ihtiram Raza Khan

Inbunden

3439:-

Funktionen begränsas av dina webbläsarinställningar (t.ex. privat läge).

Uppskattad leveranstid 10-16 arbetsdagar

Fri frakt för medlemmar vid köp för minst 249:-

  • 234 sidor
  • 2025
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.
  • Författare: Mariyam Ouaissa, Mariya Ouaissa, Hanane Lamaazi, Khadija Slimani, Ihtiram Raza Khan
  • Format: Inbunden
  • ISBN: 9781032844732
  • Språk: Engelska
  • Antal sidor: 234
  • Utgivningsdatum: 2025-03-19
  • Förlag: Taylor & Francis Ltd