Artificial Intelligence and Quantum Computing for Advanced Wireless Networks Contributor(s): Glisic, Savo G. (Author), Lorenzo, Beatriz (Author) |
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ISBN: 1119790298 ISBN-13: 9781119790297 Publisher: Wiley OUR PRICE: $158.60 Product Type: Hardcover - Other Formats Published: April 2022 |
Additional Information |
BISAC Categories: - Computers | Optical Data Processing - Computers | Intelligence (ai) & Semantics - Computers | Programming Languages - Python |
Dewey: 006.384 |
LCCN: 2021049298 |
Physical Information: 1.81" H x 7" W x 10" (3.81 lbs) 864 pages |
Descriptions, Reviews, Etc. |
Publisher Description: A practical overview of the implementation of artificial intelligence and quantum computing technology in large-scale communication networks Increasingly dense and flexible wireless networks require the use of artificial intelligence (AI) for planning network deployment, optimization, and dynamic control. Machine learning algorithms are now often used to predict traffic and network state in order to reserve resources for smooth communication with high reliability and low latency. In Artificial Intelligence and Quantum Computing Technology in Advanced Wireless Networks, the authors deliver a practical and timely review of AI-based learning algorithms, with several case studies in both Python and R. The book discusses the game-theory-based learning algorithms used in decision making, along with various specific applications in wireless networks, like channel, network state, and traffic prediction. Additional chapters include Fundamentals of ML, Artificial Neural Networks (NN), Explainable and Graph NN, Learning Equilibria and Games, AI Algorithms in Networks, Fundamentals of Quantum Communications, Quantum Channel, Information Theory and Error Correction, Quantum Optimization Theory, and Quantum Internet, to name a few. The authors offer readers an intuitive and accessible path from basic topics on machine learning through advanced concepts and techniques in quantum networks. Readers will benefit from:
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