Distributed Artificial Intelligence for 5G/6G Communications
Frameworks with Machine Learning
- 232 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Distributed Artificial Intelligence for 5G/6G Communications
Frameworks with Machine Learning
About this book
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.
A Novel Distributed Artificial Intelligence Framework with Machine Learning for 5G/6G Communications 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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Information
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Table of Contents
- List of Figures
- List of Tables
- Preface
- Acknowledgements
- About the Authors
- Important Acronyms Table
- Chapter 1 Introduction
- Chapter 2 Background, Literature Review and Related Work
- Chapter 3 A Novel DAI Framework and BDI Extended Agents
- Chapter 4 Implementation Specifics of the DAI Framework for D2D Communication
- Chapter 5 Example Plans of the DAI Framework/BDIx Agents to Satisfy D2D Challenges
- Chapter 6 DAI Framework for Addressing the D2D Mode Selection Challenge
- Chapter 7 DAI Framework Evaluation and Realization for the D2D Mode Selection Challenge
- Chapter 8 Future Directions and Application Areas
- Appendix A
- Appendix B
- Index