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portada Machine Learning in Next Generation Multiple Access (Ngma)
Type
Physical Book
Publisher
Author
Language
English
Pages
70
Format
Hardcover
ISBN13
9783032194190

Machine Learning in Next Generation Multiple Access (Ngma)

Abdul Matin, Mohammad; Mahmood, M. Rezwanul (Author) · Springer · Hardcover

Machine Learning in Next Generation Multiple Access (Ngma) - Abdul Matin, Mohammad; Mahmood, M. Rezwanul

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Synopsis "Machine Learning in Next Generation Multiple Access (Ngma)"

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.

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The book is written in English.

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The binding of this edition is Hardcover.

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