Machine Learning in Next Generation Multiple Access (NGMA)
Book Details
Format
Hardback or Cased Book
Book Series
Synthesis Lectures on Communications
ISBN-10
3032194199
ISBN-13
9783032194190
Publisher
Springer Nature Switzerland AG
Imprint
Springer Nature Switzerland AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
May 8th, 2026
Print length
70 Pages
Weight
288 grams
Dimensions
17.50 x 25.00 x 1.10 cms
Product Classification:
Communications engineering / telecommunicationsWAP (wireless) technologyMachine learning
Ksh 5,050.00
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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.
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.
Get Machine Learning in Next Generation Multiple Access (NGMA) by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer Nature Switzerland AG and it has pages.
