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Machine Learning in Next Generation Multiple Access (NGMA).
・ISBN 978-3-032-19419-0 hard EUR 32.99
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| 著者・編者 | Abdul Matin, Mohammad / Mahmood, M. Rezwanul, |
|---|---|
| シリーズ | (Synthesis Lectures on Communications) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2026 |
| ページ数 | 70 pp. |
| 言語 | ENG |
| ニュース番号 | <A05-33490> |
解説
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.