Springer Antenna Design Challenges and Future Directions for Modern Transportation Market (SpringerBriefs in Applied Sciences and Technology)

Product Description This book is focused on wireless infrastructure deployment in modern transportation markets, where the wireless infrastructure co-exists with the existing structure. It details the challenges this deployment may face and explores the mitigation measures to overcome the challenges. The book proposes a smart antenna structure to overcome airspace congestion, which improves the overall wireless performance and deployment cost. With the combination of practical know-how and theoretical estimation, this book provides insight on how the modern smart antenna techniques that support most cutting-edge wireless technology can be adopted into the existing infrastructure whilst minimising the distraction to the existing system. This book  is suitable for industrial and academic researchers, practising engineers within the field of smart antennae, and wireless infrastructure designers and developers. From the Back Cover This book is focused on wireless infrastructure deployment in modern transportation markets, where the wireless infrastructure co-exists with the existing structure. It details the challenges this deployment may face and explores the mitigation measures to overcome the challenges. The book proposes a smart antenna structure to overcome airspace congestion, which improves the overall wireless performance and deployment cost. With the combination of practical know-how and theoretical estimation, this book provides insight on how the modern smart antenna techniques that support most cutting-edge wireless technology can be adopted into the existing infrastructure whilst minimising the distraction to the existing system.This book  is suitable for industrial and academic researchers, practising engineers within the field of smart antennae, and wireless infrastructure designers and developers. About the Author Moh Chuan Tan received his B.Tech. degree from the National University of Singapore in 2001, and is currently working towards his Ph. D. degree in electronic engineering at University of Glasgow. From 1991 to 2001, he was with Kenwood Electronic Technologies Pte. Ltd. Singapore. In 2001, he joined RFNet Technologies Pte Ltd, Singapore as a pioneer member who set up the R&D department and successfully designed many wireless LAN products for industrial applications such as automotive, railway, industrial IOT etc. He is currently the Technical Director of R&D department who oversees the product and technology development.  His research interests include smart antennas, RF modular frontends and systems. Minghui Li is an Associate Professor in Electronic Systems at the University of Glasgow, based in Singapore (UGS), before which he was a lecturer in the Centre for Ultrasonic Engineering at University of Strathclyde in the United Kingdom. He has investigated a range of industrial, UK EPSRC, knowledge exchange, and university strategic research projects as a Principal Investigator or Co-Investigator. Dr Li’s research portfolio has primarily focused on sensing systems, signal processing and imaging in both fundamental algorithm research and applied prototype system development, covering a diversity of applications in communications, radar, sonar, non-destructive evaluation (NDE), and biomedical diagnosis and imaging. Qammer H. Abbasi received his BSc and MSc degrees from the University of Engineering and Technology (UET), Lahore, Pakistan. He received his Ph.D. degree in Electronic and Electrical engineering from Queen Mary University of London (QMUL), U.K., in Jan., 2012. He then worked in numerous academic positions before his current role as an Associate Professor  and deputy head for Communications Sensing and Imaging group at the University of Glasgow in the James Watt School of Engineering. Additionally, he works as a Visiting Lecturer at Queen Mary, University of London. Dr Abbasi has research portfolio of £5M and has contributed to 9 books and more than 300 leading inte