Artificial Intelligence and Quantum Computing for Advanced Wireless Networks

Artificial intelligence and quantum computing are used in large-scale communication networks to improve network deployment, optimization, and dynamic control. Machine learning algorithms are used to predict traffic and network state, while game-theory-based learning algorithms are used in decision-making. The book discusses the fundamentals of machine learning algorithms, artificial neural networks, explainable and graph neural networks, AI algorithms in networks, quantum communications, information theory and error correction, quantum optimization theory, and quantum internet. It is a valuable resource for network engineers, researchers, graduate and masters students, IT support staff, policymakers, and regulators.

Format: Hardback
Length: 864 pages
Publication date: 17 March 2022
Publisher: John Wiley and Sons Ltd

Artificial intelligence (AI) and quantum computing are revolutionizing the landscape of advanced wireless networks, enabling unprecedented capabilities and performance. In this comprehensive presentation, we delve into the implementation of these cutting-edge technologies in large-scale communication networks.

The demand for increasingly dense and flexible wireless networks has driven the need for AI-based solutions for network deployment, optimization, and dynamic control. Machine learning algorithms are now widely employed to predict traffic and network state, allowing for efficient resource allocation and ensuring smooth communication with high reliability and low latency.

Artificial Intelligence and Quantum Computing for Advanced Wireless Networks offers a practical and timely review of AI-based learning algorithms, with several case studies in both Python and R. The book explores game-theory-based learning algorithms used in decision-making, covering various specific applications in wireless networks such as channel estimation, network state estimation, and traffic prediction. Additional chapters cover fundamental concepts in machine learning, artificial neural networks, explainable and graph neural networks, learning equilibria and games, AI algorithms in networks, quantum communications, information theory, and error correction.

The authors provide readers with an intuitive and accessible path from basic topics in machine learning to advanced concepts and techniques in quantum networks. This comprehensive resource benefits readers by offering:

A thorough introduction to the fundamentals of machine learning algorithms, including linear and logistic regression, decision trees, random forests, bagging, boosting, and support vector machines.

An exploration of artificial neural networks, including multilayer neural networks, training, and optimization techniques.

Case studies and practical examples demonstrating the application of AI and quantum computing in wireless networks, such as 5G and beyond.

Insights into the challenges and opportunities associated with the integration of AI and quantum computing in wireless networks, including security, privacy, and resilience.

By leveraging the power of AI and quantum computing, advanced wireless networks can achieve unprecedented performance, efficiency, and scalability, enabling the next generation of connected devices and services. This presentation provides a valuable roadmap for professionals and researchers seeking to stay ahead of the curve in this rapidly evolving field.

Weight: 1800g
Dimension: 186 x 264 x 54 (mm)
ISBN-13: 9781119790297