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  • Cited by 21
Publisher:
Cambridge University Press
Online publication date:
June 2022
Print publication year:
2022
Online ISBN:
9781108966559

Book description

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.

Reviews

'Recommended.'

J. Brzezinski Source: Choice

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Contents

  • 1 - Machine Learning and Communications: An Introduction
    pp 1-20

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