Wireless AI : wireless sensing, positioning, IoT, and communications / K. J. Ray Liu, Beibei Wang.
By: Liu, K. J. Ray [author.]
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Contributor(s): Wang, Beibei [author.].
Material type: 
BookPublisher: Cambridge : Cambridge University Press, 2019Description: 1 online resource (xvi, 606 pages) : digital, PDF file(s).Content type: text Media type: computer Carrier type: online resourceISBN: 9781108597234 (ebook).Subject(s): Wireless communication systems | Artificial intelligence | Internet of things | Indoor positioning systems (Wireless localization)Additional physical formats: Print version: : No titleDDC classification: 006.3 Online resources: Click here to access online Summary: With this groundbreaking text, discover how wireless artificial intelligence (AI) can be used to determine position at centimeter level, sense motion and vital signs, and identify events and people. Using a highly innovative approach that employs existing wireless equipment and signal processing techniques to turn multipaths into virtual antennas, combined with the physical principle of time reversal and machine learning, it covers fundamental theory, extensive experimental results, and real practical use cases developed for products and applications. Topics explored include indoor positioning and tracking, wireless sensing and analytics, wireless power transfer and energy efficiency, 5G and next-generation communications, and the connection of large numbers of heterogeneous IoT devices of various bandwidths and capabilities. Demo videos accompanying the book online enhance understanding of these topics. Providing a unified framework for wireless AI, this is an excellent text for graduate students, researchers, and professionals working in wireless sensing, positioning, IoT, machine learning, signal processing and wireless communications.
Title from publisher's bibliographic system (viewed on 04 Oct 2019).
With this groundbreaking text, discover how wireless artificial intelligence (AI) can be used to determine position at centimeter level, sense motion and vital signs, and identify events and people. Using a highly innovative approach that employs existing wireless equipment and signal processing techniques to turn multipaths into virtual antennas, combined with the physical principle of time reversal and machine learning, it covers fundamental theory, extensive experimental results, and real practical use cases developed for products and applications. Topics explored include indoor positioning and tracking, wireless sensing and analytics, wireless power transfer and energy efficiency, 5G and next-generation communications, and the connection of large numbers of heterogeneous IoT devices of various bandwidths and capabilities. Demo videos accompanying the book online enhance understanding of these topics. Providing a unified framework for wireless AI, this is an excellent text for graduate students, researchers, and professionals working in wireless sensing, positioning, IoT, machine learning, signal processing and wireless communications.
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