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. Illustrates how to design, develop, and manage next-gen NGMA/NOMA-based network systems; Discusses the role of NOMA in designing NGMA, and the applications of the next-generation NOMA; Provides guidance for researchers, engineers and scientists of telecom and computing, and AI/ML.