Machine Learning and Wireless Communications

This book PDF is perfect for those who love Computers genre, written by Yonina C. Eldar and published by Cambridge University Press which was released on 04 August 2022 with total hardcover pages 559. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Machine Learning and Wireless Communications books below.

Machine Learning and Wireless Communications
Author : Yonina C. Eldar
File Size : 52,7 Mb
Publisher : Cambridge University Press
Language : English
Release Date : 04 August 2022
ISBN : 9781108832984
Pages : 559 pages
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Machine Learning and Wireless Communications by Yonina C. Eldar Book PDF Summary

Discover connections between these transformative and impactful technologies, through comprehensive introductions and real-world examples.

Machine Learning and Wireless Communications

Discover connections between these transformative and impactful technologies, through comprehensive introductions and real-world examples.

Get Book
Machine Learning and Wireless Communications

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,

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Machine Learning for Future Wireless Communications

A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single volume, Machine Learning for Future Wireless Communications provides a comprehensive and highly accessible treatment to the theory, applications and current research developments to the technology aspects related to machine learning for

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Applications of Machine Learning in Wireless Communications

This detailed and comprehensive reference considers how to combine the disciplines of wireless communications and machine learning. Coverage includes channel modelling, signal estimation and detection, energy efficiency, cognitive radios, wireless sensor networks, vehicular communications and wireless multimedia communications.

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Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks

Communication and network technology has witnessed recent rapid development and numerous information services and applications have been developed globally. These technologies have high impact on society and the way people are leading their lives. The advancement in technology has undoubtedly improved the quality of service and user experience yet a

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Next Generation Wireless Networks Meet Advanced Machine Learning Applications

The ever-evolving wireless technology industry is demanding new technologies and standards to ensure a higher quality of experience for global end-users. This developing challenge has enabled researchers to identify the present trend of machine learning as a possible solution, but will it meet business velocity demand? Next-Generation Wireless Networks Meet

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Machine Learning for Future Wireless Communications

A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single volume, Machine Learning for Future Wireless Communications provides a comprehensive and highly accessible treatment to the theory, applications and current research developments to the technology aspects related to machine learning for

Get Book
Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems

This book offers the latest advances and results in the fields of Machine Learning and Deep Learning for Wireless Communication and provides positive and critical discussions on the challenges and prospects. It provides a broad spectrum in understanding the improvements in Machine Learning and Deep Learning that are motivating by

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