Intelligent Unmanned Air Vehicles Communications for Public Safety Networks (eBook)

This book provides a comprehensive overview of the potential use cases and intelligent technologies, UAV layered architectures, research findings, experimental results, and standardization for intelligent UAV communications for public safety networks. This book will cover the conventional non-intelligent and intelligent solutions specifically targeting UAV communications for public safety networks. Moreover, reconfigurable intelligent surface (RIS) has recently attracted researchers and academician attention because its ability improves the propagation environment and enhances communication quality by intelligently reflecting the received signals. Leveraging intelligence into RIS-assisted UAV communications will meet the requirements of the intelligent, green, and sustainable 5G and beyond cellular networks, which makes it a potential candidate to overcome the inherent drawbacks of legacy wireless systems.

Ishtiaq Ahmad received the B.S. degree in Electrical Engineering from the University of Engineering and Technology (UET), Peshawar, Pakistan, in 2007, and the M.S. and Ph.D. degree in Electronic Engineering from Inha University, Korea, in 2014 and 2019, respectively. From 2007 to 2008, he was a BSS Engineer with the O&M Department, Zong Pakistan. Since 2009, he has been a Lecturer with the Faculty of Engineering and Technology (FET), Gomal University, Pakistan. He has authored several International journals and IEEE conference papers and
also holds U.S. and Korean patents. His research interests include interference management in 3GPP LTE-A & 5G systems, public safety and mobile ad-hoc networks (especially for UAV), cellular-V2X technology, and maritime & underwater communications, and applications of Artificial Intelligence technologies. He was a recipient of the Jungseok International Scholarship to pursue his M.S. and Ph.D. degrees at Inha University, due to his excellent academic career. He received the Outstanding Research Award and Excellent Student Award from the Inha University, in 2019, for his excellence of journal publication and outstanding research achievements. He is currently
TRUNG Q. DUONG (Fellow, IEEE) is currently Professor and Chair of Telecommunications with Queen's University Belfast, UK, and Research Chair with the Royal Academy of Engineering. His current research interests include wireless communications, signal processing, and machine learning. He was awarded the Best Paper Award from the IEEE Vehicular Technology Conference (VTC-Spring), in 2013, the IEEE International Conference on Communications (ICC), in 2014, the IEEE Global Communications Conference (GLOBECOM), in 2016, the IEEE Digital Signal Processing Conference (DSP), in 2017, and GLOBECOM, in 2019. He was a recipient of the prestigious Royal Academy of Engineering Research Fellowship, from 2015 to 2020, and has won a prestigious Newton Prize, in 2017. He currently serves as Editor for the IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS.

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This book provides a comprehensive overview of the potential use cases and intelligent technologies, UAV layered architectures, research findings, experimental results, and standardization for intelligent UAV communications for public safety networks. This book will cover the conventional non-intelligent and intelligent solutions specifically targeting UAV communications for public safety networks. Moreover, reconfigurable intelligent surface (RIS) has recently attracted researchers and academician attention because its ability improves the propagation environment and enhances communication quality by intelligently reflecting the received signals. Leveraging intelligence into RIS-assisted UAV communications will meet the requirements of the intelligent, green, and sustainable 5G and beyond cellular networks, which makes it a potential candidate to overcome the inherent drawbacks of legacy wireless systems.The topics covered in this book will be of interest to both the professionals and students. 3D UAV placements schemes, trajectory design, interference management schemes, reinforcement learning solutions for more intelligent and trained solutions, joint UAV trajectory and RIS's passive beamforming design, and various other related topics of readers' interest are presented in detail.