AI-Enabled 6G Networks and Applications
eBook - ePub

AI-Enabled 6G Networks and Applications

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

AI-Enabled 6G Networks and Applications

About this book

AI-ENABLED 6G NETWORKS AND APPLICATIONS

Provides authoritative guidance on utilizing AI techniques in 6G network design and optimization

Written and edited by active researchers, this book covers hypotheses and practical considerations and provides insights into the design of evolutionary AI algorithms for 6G networks, with focus on network transparency, interpretability and simulatability for vehicular networks, space systems, surveillance systems and their usages in different emerging engineering fields.

AI-Enabled 6G Networks and Applications includes a review of AI techniques for 6G Networks and will focus on deployment of AI techniques to efficiently and effectively optimize the network performance, including AI-empowered mobile edge computing, intelligent mobility and handover management, and smart spectrum management. This book includes the design of a set of evolutionary AI hybrid algorithms with communication protocols, showing how to use them in practice to solve problems relating to vehicular networks, aerial networks, and communication networks.

  • Reviews various types of AI techniques such as AI-empowered mobile edge computing, intelligent handover management, and smart spectrum management
  • Describes how AI techniques manage computation efficiency, algorithm robustness, hardware development, and energy management
  • Identifies and provides solutions to problems in current 4G/5G networks and emergent 6G architectures
  • Discusses privacy and security issues in IoT-enabled 6G Networks
  • Examines the use of machine learning to achieve closed-loop optimization and intelligent wireless communication

AI-Enabled 6G Networks and Applications is an essential reference guide to advanced hybrid computational intelligence methods for 6G supportive networks and protocols, suitable for graduate students and researchers in network forensics and optimization, computer science, and engineering.

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Yes, you can access AI-Enabled 6G Networks and Applications by Deepak Gupta,Mahmoud Ragab AL-Refaey,Romany Fouad Mansour,Aditya Khamparia,Ashish Khanna,Mahmoud Ragab in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Table of Contents
  3. Title Page
  4. Copyright Page
  5. List of Contributors
  6. Preface
  7. About the Editors
  8. 1 Metaheuristic Moth Flame Optimization Based Energy Efficient Clustering Protocol for 6G Enabled Unmanned Aerial Vehicle Networks
  9. 2 A Novel Data Offloading with Deep Learning Enabled Cyberattack Detection Model for Edge Computing in 6G Networks
  10. 3 Henry Gas Solubility Optimization with Deep Learning Enabled Traffic Flow Forecasting in 6G Enabled Vehicular Networks
  11. 4 Crow Search Algorithm Based Vector Quantization Approach for Image Compression in 6G Enabled Industrial Internet of Things Environment
  12. 5 Design of Artificial Intelligence Enabled Dingo Optimizer for Energy Management in 6G Communication Networks
  13. 6 Adaptive Whale Optimization with Deep Learning Enabled RefineDet Network for Vision Assistance on 6G Networks
  14. 7 Efficient Deer Hunting Optimization Algorithm Based Spectrum Sensing Approach for 6G Communication Networks
  15. 8 Elite Oppositional Hunger Games Search Optimization Based Cooperative Spectrum Sensing Scheme for 6G Cognitive Radio Networks
  16. Index
  17. End User License Agreement