- Neu
Abdul Matin / Mahmood Machine Learning in Next Generation Multiple Access (NGMA)
Erscheinungsjahr 2026
ISBN: 978-3-032-19420-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, 70 Seiten
Reihe: Synthesis Collection of Technology (R0)
ISBN: 978-3-032-19420-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
This book equips readers with the conceptual and practical knowledge they need to put into practice the design, development, and management of the next generation multiple access / non-orthogonal multiple access (NGMA/NOMA)-based network systems. The authors outline and evaluate NOMA technologies by exploiting AI/ML-based methodologies. The authors also discuss the role of NOMA in designing NGMA, and the applications/use cases of the next-generation NOMA. The book provides guidance for researchers, engineers and scientists in academia and industry working in the fields of telecom and computing, and artificial intelligence/machine learning.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Introduction.- Activation functions.- Machine learning (ML) in non-orthogonal multiple access (NOMA).- Resource allocation in NOMA.- Towards next-generation NOMA.- Application of ML in NOMA-based networks.- Conclusion.




