Skip to main navigation Skip to search Skip to main content

Abstract

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.

Original languageEnglish (US)
PublisherCambridge University Press
Number of pages544
ISBN (Electronic)9781108966559
ISBN (Print)9781108832984
DOIs
StatePublished - Jan 1 2022

All Science Journal Classification (ASJC) codes

  • General Engineering
  • General Computer Science

Keywords

  • Communications and Signal Processing
  • Computer Science
  • Engineering
  • Pattern Recognition and Machine Learning

Fingerprint

Dive into the research topics of 'Machine Learning and Wireless Communications'. Together they form a unique fingerprint.

Cite this