Artificial Intelligence for Future Networks
eBook - PDF

Artificial Intelligence for Future Networks

  1. 414 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Artificial Intelligence for Future Networks

About this book

An exploration of connected intelligent edge, artificial intelligence, and machine learning for B5G/6G architecture

Artificial Intelligence for Future Networks illuminates how artificial intelligence (AI) and machine learning (ML) influence the general architecture and improve the usability of future networks like B5G and 6G through increased system capacity, low latency, high reliability, greater spectrum efficiency, and support of massive internet of things (mIoT).

The book reviews network design and management, offering an in-depth treatment of AI oriented future networks infrastructure. Providing up-to-date materials for AI empowered resource management and extensive discussion on energy-efficient communications, this book incorporates a thorough analysis of the recent advancement and potential applications of ML and AI in future networks.

Each chapter is written by an expert at the forefront of AI and ML research, highlighting current design and engineering practices and emphasizing challenging issues related to future wireless applications.

Some of the topics include:

  • Signal processing and detection, covering preprocess and level signals, transform signals and extract features, and training and deploying AI models and systems
  • Channel estimation and prediction, covering channel characteristics, modeling, and classic learning-aided and AI-aided estimation techniques
  • Resource allocation, covering resource allocation optimization and efficient power consumption for different computing paradigms such as Cloud, Edge, Fog, IoT, and MEC
  • Antenna design using AI, covering basics of antennas, EM simulator/optimization algorithms, and surrogate modeling

Identifying technical roadblocks and sharing cutting-edge research on developing methodologies, Artificial Intelligence for Future Networks is an essential reference on the subject for professionals and researchers involved in the field of wireless communications and networks, along with graduate and PhD students in electrical and computer engineering programs of study.

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Yes, you can access Artificial Intelligence for Future Networks by Mohammad A. Matin,Sotirios K. Goudos,George K. Karagiannidis in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Contents
  5. About the Editors
  6. List of Contributors
  7. Acknowledgments
  8. Chapter 1 Intelligent Beam Prediction and Tracking
  9. Chapter 2 Signal Detection with Machine Learning
  10. Chapter 3 AIā€Aided Channel Prediction
  11. Chapter 4 Semantic Communications
  12. Chapter 5 Federated Learning for Wireless Communications
  13. Chapter 6 Federated Learning in Mesh Networks
  14. Chapter 7 Antenna Design Using Artificial Intelligence
  15. Chapter 8 AIā€Driven Approaches for Solving Electromagnetic Inverse Problems
  16. Chapter 9 RAā€Based RISā€1 Design Using Support Vector Machines to Enhance mmWave 5G Coverage
  17. Chapter 10 AI at the Physical Layer for Wireless Network Security and Privacy
  18. Index
  19. EULA