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.