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Machine Learning for Future Wireless Communications
Series: IEEE Press
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Machine Learning for Future Wireless Communications
$28199
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?
Designed for professional engineers, researchers, scientists, network operators, software developers and graduate students seeking an expert, in-depth resource on machine learning methods driving the future evolution of wireless communications and networks.
Book Hero Magic formatted this description to make it easier to read. While it's new and
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Description
A comprehensive review of 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 of the theory, applications, and current research developments related to machine learning for wireless communications and networks. The technology development of machine learning for wireless communications has grown explosively and is one of the biggest trends in related academic, research, and industry communities.
Deep neural networks-based machine learning technology is a promising tool to address the big challenges in wireless communications and networks, such as increasing demands in terms of capacity, coverage, latency, efficiency, flexibility, compatibility, quality of experience, and silicon convergence. The author, a noted expert on the topic, covers a wide range of subjects including system architecture and optimization, physical-layer and cross-layer processing, air interface and protocol design, beamforming and antenna configuration, network coding and slicing, cell acquisition and handover, scheduling and rate adaptation, radio access control, smart proactive caching, and adaptive resource allocations.
Uniquely organized into three categories—Spectrum Intelligence, Transmission Intelligence, and Network Intelligence—this essential resource:
- Offers a comprehensive review of the theory, applications, and current developments of machine learning for wireless communications and networks
- Covers a range of topics from architecture and optimization to adaptive resource allocations
- Reviews state-of-the-art machine learning-based solutions for network coverage
- Includes an overview of the applications of machine learning algorithms in future wireless networks
- Explores flexible backhaul and front-haul, cross-layer optimization and coding, full-duplex radio, digital front-end (DFE), and radio-frequency (RF) processing
Written for professional engineers, researchers, scientists, manufacturers, network operators, software developers, and graduate students, Machine Learning for Future Wireless Communications presents, in 21 chapters, a comprehensive review of the topic authored by an expert in the field.
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Machine Learning for Future Wireless Communications
A comprehensive review of 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 of the theory, applications, and current research developments related to machine learning for wireless communications and networks. The technology development of machine learning for wireless communications has...Hardback$28199Unit price /UnavailableAvailableShips in 3-4 weeks
Book Details
INFORMATION
ISBN: 9781119562252
Publisher: John Wiley & Sons Inc
Format: Hardback
Date Published: 13 February 2020
Country: United States
Imprint: Wiley-IEEE Press
Contributors:
- Edited by Fa-Long Luo
Audience: General / adult
DIMENSIONS
Spine width: 31.0mm
Width: 178.0mm
Height: 249.0mm
Weight: 1111g
Pages: 496
About the Author
FA-LONG LUO, Ph.D, Silicon Valley, California, USA
Dr. Fa-Long Luo is an IEEE Fellow and an Affiliate Full Professor of Electrical & Computer Engineering Department at the University of Washington in Seattle. Having gained international high recognition, Dr. Luo has 36 years of research and industry experience in wireless communication, neural networks, signal processing, machine learning and broadcasting with real-time implementation, applications and standardization. Including his well-received book: Signal Processing for 5G: Algorithms and Implementations (2016, Wiley-IEEE), Dr. Luo has published 6 books and more than 100 technical papers in the related fields. Dr. Luo has also contributed 61 patents/inventions which have successfully resulted in a number of new or improved commercial products in mass production. He has served as the Chairman of IEEE Industry DSP Standing Committee and the Technical Board Member of Signal Processing Society. Dr. Luo was awarded the Fellowship by the Alexander von Humboldt Foundation of Germany.
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