Wireless AI
Wireless Sensing, Positioning, IoT, and Communications

An innovative and groundbreaking text explaining how wireless AI can determine position, sense motion and vital signs, and identify events and people.

K. J. Ray Liu (Author), Beibei Wang (Author)

9781108497862, Cambridge University Press

Hardback, published 3 October 2019

622 pages
25.3 x 17.8 x 3 cm, 1.35 kg

''This book offers clarity on the wireless AI domain, presenting a method based on multipath analysis and machine learning for networked sensors to deliver integrated data, for purposes as diverse as biometric information, precise positioning, power transfer, 5G communications, and others … Advanced practitioners and researchers will benefit from this integrated, principle-based approach, and graduate students specializing in the subject matter will find this book an exhaustive reference for their work.' L. Benedicenti, Choice

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.

1. Principles of time reversal and effective bandwidth
Part I. Indoor Locationing and Tracking: 2. Centimeter-accuracy indoor positioning
3. Multi-antenna approach
4. Frequency hopping approach
5. Decimeter-accuracy indoor tracking
Part II. Wireless Sensing and Analytics: 6. Wireless events detection
7. Statistical learning for indoor monitoring
8. Radio biometrics for human recognition
9. Vital signs estimation and detection
10. Wireless motion detection
11. Device-free Speed estimation
Part III. Wireless Power Transfer and Energy Efficiency: 12. Time-reversal for energy efficiency
13. Power waveforming
14. Joint power waveforming and beamforming
Part IV. 5G Communications and Beyond: 15. Time-reversal division multiple access
16. Combating strong-weak resonances in TRDMA
17. Time-reversal massive multipath effect
18. Waveforming
19. Spatial focusing effect for networking
20. Tunnelling effect for cloud radio access network
Part V. IoT Connections: 21. Time-reversal for IoT
22. Heterogeneous connections for IoT.

Subject Areas: Signal processing [UYS], Machine learning [UYQM], WAP [wireless technology TJKW], Communications engineering / telecommunications [TJK], Electronics & communications engineering [TJ], Energy technology & engineering [TH]