Machine Learning and Wireless Communications (Hardcover)
Language: English
Published by Cambridge University Press, Cambridge, 2022
- Hardcover
- New

Seller: CitiRetail, Stevenage, United KingdomCitiRetail
AbeBooks seller since June 29, 2022
Condition: New
US$ 138.89
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Hardcover. How can machine learning help the design of future communication networks and how can future networks meet the demands of emerging machine learning applications? Discover the interactions between two of the most transformative and impactful technologies of our age in this comprehensive book. First, learn how modern machine learning techniques, such as deep neural networks, can transform how we design and optimize future communication networks. Accessible introductions to concepts and tools are accompanied by numerous real-world examples, showing you how these techniques can be used to tackle longstanding problems. Next, explore the design of wireless networks as platforms for machine learning applications an overview of modern machine learning techniques and communication protocols will help you to understand the challenges, while new methods and design approaches will be presented to handle wireless channel impairments such as noise and interference, to meet the demands of emerging machine learning applications at the wireless edge. How can machine learning help the design of future communication networks? How can future wireless networks meet the demands of emerging machine learning applications? Discover the interactions between two of the most impactful technologies of our age in this comprehensive book, with accessible introductions and real-world examples. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…
Seller Inventory # 9781108832984
- Title
- Machine Learning and Wireless Communications (Hardcover)
- Author
- Yonina C. Eldar
- Publisher
- Cambridge University Press, Cambridge
- Publication year
- 2022
- Condition
- new
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1108832989
- ISBN 13
- 9781108832984
"Synopsis" may belong to another edition of this title.
About the Author
Andrea Goldsmith is the Dean of Engineering and Applied Science and the Arthur LeGrand Doty Professor of Electrical Engineering at Princeton University. She is a member of the US National Academy of Engineering and the American Academy of Arts and Sciences. In 2020, she received the Marconi Prize.
Deniz Gündüz is a professor of Information Processing in the Electrical and Electronic Engineering Department of Imperial College London in the UK, where he serves as the Deputy Head of the Intelligent Systems and Networks Group. He is also a part-time faculty member at the University of Modena and Reggio Emilia in Italy.
H. Vincent Poor is the Michael Henry Strater University Professor at Princeton University. He is a member of the US National Academy of Engineering and the US National Academy of Sciences. In 2017, he received the IEEE Alexander Graham Bell Medal.
"About the title" may belong to another edition of this title.
CitiRetail
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AbeBooks seller since June 29, 2022
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