Machine Learning in Next Generation Multiple Access (NGMA)

Language: English

Published by Springer, 2026

3032194199 / 9783032194190

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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. Sprache: Englisch Gewicht in Gramm: 275.

Title
Machine Learning in Next Generation Multiple Access (NGMA)
Author
M. Rezwanul Mahmood, Mohammad Abdul Matin
Publisher
Springer
Publication year
2026
Condition
Neu
Binding
Gebundene Ausgabe
Language
English
ISBN 10
3032194199
ISBN 13
9783032194190
Item weight
275 grams

Home-set

Mannheim, Germany

5-star seller

AbeBooks seller since April 13, 2026

Shipping rates from Germany to U.S.A.

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Home-set

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