Machine Learning and Wireless Communications (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.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	August 2022
Editors:	Yonina C. Eldar • Andrea Goldsmith • Deniz Gunduz • H. Vincent Poor
Dimensions:	251 x 177 x 29mm (L x W x T)
Format:	Hardcover
Pages:	554
ISBN-13:	978-1-108-83298-4
Categories:	Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer hardware & operating systems > Systems management Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Computer communications & networking > General Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > WAP (wireless) technology Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Promotions
LSN:	1-108-83298-9
Barcode:	9781108832984

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