
Artificial Intelligence for Wireless Communication Systems
Technology and Applications
- 318 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Artificial Intelligence for Wireless Communication Systems
Technology and Applications
About this book
The text provides a comprehensive study of the application of advanced artificial intelligence (AI) in next-generation wireless communications with a focus on theory, standardization, and core development. It further highlights AI-enabled intelligent architecture for sixth-generation (6G) networks to realize smart resource management, automatic network adjustment, and intelligent service layers. The book covers artificially assisted non-orthogonal multiple access schemes for 6G communication.
This book:
- Discusses the use of AI in various aspects of wireless communications, including channel modeling, signal detection, channel coding design, and resource management
- Explores technical challenges in the ubiquitous fifth-generation (5G) wireless networks and the prospects of introducing artificial intelligence-based techniques in the envisioned 6G wireless networks
- Presents potential issues in AI-enabled approaches in wireless communications
- Covers AI-enabled energy efficiency optimization and cross-layer optimization in the next-generation wireless networks
- Explains artificially empowered security and privacy schemes in next-generation wireless networks and next-generation mobile management
It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.
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Information
Table of contents
- Cover
- Half Title
- Series Page
- Title Page
- Copyright Page
- Table of Contents
- Preface
- About the editors
- List of contributors
- 1 Artificial intelligence revolutionizing wireless communication systems
- 2 AI-empowered social internet of things and crowdsensing applications
- 3 AI for spectrum intelligence and adaptive resource management
- 4 The future of mobile management: predictive maintenance and fault detection with AI
- 5 Revolutionizing education: AI in next-generation mobile management
- 6 AI-empowered security and privacy schemes in next-generation wireless networks
- 7 Convolutional neural network for sparse channel and image reconstruction in underwater acoustic communication
- 8 Optimization of future location prediction in mobile sensor network using Particle Swarm Optimization
- 9 Application of NOMA in 6G networks leveraging Artificial Intelligence
- 10 Utilization of an AI-assisted lens antenna array in 5G networks
- 11 AI, ML, and IoMT integrated approach to DNA sequence analysis and prediction
- 12 AI-based wireless channel prediction for 6G
- 13 Cost effective IoT-enabled wireless video surveillance model for Next-Gen communication systems
- 14 AI-enabled road traffic flow control and mobility prediction using YOLO
- Index
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