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Dedicated Mobile Communications for High-speed Railway (Hardcover, 1st ed. 2018): Zhangdui Zhong, Bo Ai, Gang Zhu, Hao Wu,... Dedicated Mobile Communications for High-speed Railway (Hardcover, 1st ed. 2018)
Zhangdui Zhong, Bo Ai, Gang Zhu, Hao Wu, Xiong Lei, …
R4,726 Discovery Miles 47 260 Ships in 12 - 17 working days

This book addresses the fundamental theory and key technologies of narrowband and broadband mobile communication systems specifically for railways. It describes novel relaying schemes that meet the different design criteria for railways and discusses the applications of signal classification techniques as well as offline resource scheduling as a way of advancing rail practice. Further, it introduces Novel Long Term Evolution for Railway (LTE-R) network architecture, the Quality of Service (QoS) requirement of LTE-R and its performance evaluation and discusses in detail security technologies for rail-dedicated mobile communication systems. The advanced research findings presented in the book are all based on high-speed railway measurement data, which offer insights into the propagation mechanisms and corresponding modeling theory and approaches in unique railway scenarios.It is a valuable resource for researchers, engineers and graduate students in the fields of rail traffic systems, telecommunication and information systems.

Applications of Machine Learning in Wireless Communications (Hardcover): Rui-Si He, Zhiguo Ding Applications of Machine Learning in Wireless Communications (Hardcover)
Rui-Si He, Zhiguo Ding
R3,852 R3,370 Discovery Miles 33 700 Save R482 (13%) Ships in 10 - 15 working days

Machine learning explores the study and development of algorithms that can learn from and make predictions and decisions based on data. Applications of machine learning in wireless communications have been receiving a lot of attention, especially in the era of big data and IoT, where data mining and data analysis technologies are effective approaches to solving wireless system evaluation and design issues. This edited book presents current and future developments and trends in wireless communication technologies based on contributions from machine learning and other fields of artificial intelligence, including channel modelling, signal estimation and detection, energy efficiency, cognitive radios, wireless sensor networks, vehicular communications, and wireless multimedia communications. The book is aimed at a readership of researchers, engineers and students working on wireless communications and machine learning, especially those working with big data and artificial intelligence multi-disciplinary fields related to wireless communication technologies.

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