Distributed Artificial Intelligence for 5G/6G Communications: Frameworks with Machine Learning

The aim of this book is to delineate the challenges faced by new generation mobile networks, such as 5G and forthcoming 6G, and introduce the concept of addressing these challenges through the development of a novel Distributed AI (DAI) framework.The book proposes a distributed AI approach to handle these complexities effectively. Distributed Artificial Intelligence for 5G/6G Communications: Frameworks with Machine Learning aims to provide a comprehensive understanding of the proposed DAI framework, its architecture, implementation, and application in the context of D2D communication in 5G and beyond networks.It showcases how the framework can enhance decision-making, control, and communication performance while considering both static and dynamic network environments.The book delves into the advantages of D2D communication, highlighting how it transcends licensed frequency bands and bypasses the cellular network, leading to improved network metrics such as spectral efficiency, energy