DISTRIBUTED ARTIFICIAL INTELLIGENCE FOR 5G/6G COMMUNICATIONS

FRAMEWORKS WITH MACHINE LEARNING

By IACOVOS IOANNOU , PRABAGARANE NAGARADJANE , VASOS VASSILIOU , ANDREAS PITSILLIDES , CHRISTOPHOROS CHRISTOPHOROU

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Description

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 efficiency, data rates, and interference management. It concludes by emphasizing that the DAI framework can offer enhanced network control, reduced signaling overhead, and efficient decision-making while capitalizing on existing implementations to tackle various challenges across the 5G and 6G landscape. This book is intended for professionals that specialize in designing, implementing, and maintaining communication networks such as telecommunications/ communication engineers, wireless engineers. The book's emphasis on incorporating AI and ML techniques in the proposed framework also makes it of interest to computer and software engineers working in artificial intelligence and machine learning engineers.

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Book Details

ISBN: 9781032744353
Categories:
All Products, Computer Sciences, New Trends, Non Fiction
Format: Hardback
Publication Date: 2025
Number of Pages: 238
Author:
IACOVOS IOANNOU , PRABAGARANE NAGARADJANE , VASOS VASSILIOU , ANDREAS PITSILLIDES , CHRISTOPHOROS CHRISTOPHOROU
Publisher: CRC PRESS
Language: English
Weight: 0.51 g

About the Author

Dr. Iacovos Ioannou is a researcher affiliated with CYENS and the Networks Research Laboratory at the University of Cyprus. His research focuses on emerging fields including mobile and Internet of Things (IoT) network security, 5G and 6G wireless communications, and the incorporation of Distributed Artificial Intelligence (DAI), Artificial Intelligence (AI), and Machine Learning (ML) in device-to-device (D2D) communications. His areas of competence encompass a wide range of activities, including the analysis, development, installation, and maintenance of IT systems and applications.