Reconfigurable Intelligent Surfaces for Unmanned Aerial Vehicle Communication

This book thoroughly covers the prospective use cases, intelligent technologies, layered architectures for RIS-assisted UAV communications, research findings, experimental discoveries, and standardizations . The standard non-intelligent and intelligent approaches especially aimed for RIS-assisted UAV communications will be covered in this book. Additionally, researchers and academicians have lately become interested in improving beamforming/reflection for RIS-assisted UAV networks because of its capacity to boost communication coverage, quality, and privacy by dynamically reflecting the incoming signal. The ability to incorporate intelligence via machine learning techniques adopted in the RIS-assisted UAV communications satisfies the criteria for intelligent, environmentally friendly, and self-sustaining 6G cellular networks, making it a potential candidate to address the limitations of existing wireless technologies. Students and professionals alike will find the issues discussed in this book to be interesting. Security, a massive, ultra-reliable, and low-latency communication systems, reinforcement learning and/or deep learning methods for further intelligent and trained strategies, RIS’s beamforming and order of power scaling, as well as a number of other relevant issues of readers’ concern are described in detail.

Reconfigurable Intelligent Surface for Unmanned Air Vehicle Communications: Emerging Technologies and Research Directions.- Securing Air-To-Ground Internet-of-Things with Artificially Intelligent Reconfigurable Surfaces.- Reflection Co-efficient Optimization for Sum-Rate Enhancement in RIS-assisted UAV Communications.- Physical Layer Security with RIS-assisted UAV Communication.- Secrecy Analysis of UAV assisted RIS-enhanced Uplink NOMA Systems.- Energy Efficient Resource Allocation in RIS Assisted UAV Communication.- Enhancing 6G Connectivity with Adaptive Deployment of Reconfigurable Intelligent Surfaces for Tethered and Untethered UAVs.- Rayleigh and Ricean schemes Analysis in Unmanned Aerial Vehicles.- Intelligent Security for UAV-Assisted RIS Networks.

Ishtiaq Ahmad (Senior Member, IEEE) is currently researcher at 6G Mobile Research Lab at Czech Technical University in Prague. He received a B.S. degree in electrical engineering from the University of Engineering and Technology, Peshawar, Pakistan, in 2007, and the M.S. and Ph.D. degrees in electronic engineering from Inha University, South Korea, in 2014 and 2019, respectively. He is a Senior Lecturer at Electrical Engineering Department, Gomal University, Pakistan since 2008. His research interests include Mobility and Radio Resource Management, AI/ML for 6G systems, public safety and mobile ad-hoc networks, IoT/Edge computing, cellular-V2X technology, maritime and underwater communications, semantic communication, and quantum communication, etc. He was a recipient of the Jungseok International Scholarship for his M.S. and Ph.D. degrees at Inha University due to his excellent academic career. He received the Outstanding Research Award and the Excellent Student Award from Inha University, in 2019, for his excellence in journal publication and outstanding research achievements. He served as a Lead Guest Editor for numerous prestigious IEEE journals and magazines. He is Technical Reviewer of several prestigious Journals/Magazines like IEEE Transactions on Wireless Communication, IEEE Transactions on Communication, IEEE Communication Magazine, IEEE Transaction of Green Communication, IEEE Transactions on Network and Service Management, IEEE Open Journal of the Communications Society, IEEE Wireless Communication, IEEE Transactions on Vehicular Technology, Elsevier Vehicular Communication, IEEE Access, IEEE Wireless Communication Letters, IEEE Communication Letters, etc. He performed the role of General Chair/ Technical Program Committee of several IEEE Flagship conferences and workshops.

Ramsha Narmeen (Graduate Student Member, IEEE) received the B.S. degree in computer system engineering from the University of Engineering and Technology, Peshawar, Pakistan, in 2015, and the M.S. degree in electronic engineering from Inha University, Incheon, South Korea, in 2019. She is currently pursuing the Ph.D. degree with Czech Technical University in Prague, Prague, Czech Republic. She has authored several international journals and IEEE conference papers. Her research interests include applications of machine learning, artificial intelligence, underwater acoustic communication, interference management in 3GPP LTE-A and 5G systems, vehicular technology, and mobile ad-hoc networks.

Zeeshan Kaleem (Senior Member, IEEE) is serving as an Assistant Professor in the Department of Computer Engineering, King Fahd University of Petroleum and Minerals (KFUPM). Prior to that he served COMSATS University Islamabad, Wah Campus. He received his BS from UET Peshawar in 2007. He received MS and Ph.D. in Electronics Engineering from South Korea in 2010 and 2016, respectively. Dr. Zeeshan consecutively received the National Research Productivity Award (RPA) awards from the Pakistan Council of Science and Technology (PSCT) in 2017 and 2018. He won the Higher Education Commission (HEC) Best Innovator Award for the year 2017, and there was a single award all over Pakistan. He is the recipient of the 2021 Top Reviewer Recognition Award for IEEE TRANSACTIONS on VEHICULAR TECHNOLOGY. He has published around 100 technical journal papers, book chapters, and conference papers in reputable journals/venues and holds 21 US and Korean Patents and got several research grants as PI from RDI Saudi Arabia and HEC Pakistan.

Zdenek Becvar (Senior Member, IEEE)