Reliable and Efficient Trajectory Design in UAV-Aided Wireless Networks
Description
This book focuses on the trajectory design technologies of unmanned aerial vehicles (UAVs) in wireless networks. Multiple pure trajectory design and joint design schemes have been proposed, from the trajectory characterization and optimization to simulation evaluations. Different UAV-Aided wireless communication networks have been considered, involving wireless power transfer (WPT), integrated sensing and communications (ISAC), data collection and covert communication. An in-depth study on privacy-preserving for UAV has also been presented. The book benefits researchers, engineers, and graduate students interested in the wireless communication system, UAV-assisted networks.
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Yulin Hu received his Ph.D. degree (Hons.) from RWTH Aachen University in Jan. 2016 where he was a postdoctoral research fellow from Jan. to Dec. in 2016. He was a senior researcher and team leader in INDA Institute at RWTH Aachen University. He is currently a professor with School of Electronic Information, Wuhan University. His research interests are in wireless communication and UAV-assisted wireless networks. He has been invited to contribute submissions to multiple conferences. He was a recipient of the IFIP/IEEE Wireless Days Student Travel Awards in 2012. He received the Best Paper Awards at IEEE ISWCS 2017, IEEE PIMRC 2017, CSPS 2019, respectively. And his work has been selected as a best paper candidate in ACM MSWiM 2022. He was the lead editor of the Urllc-LoPIoT special issue in Physical Communication and the organizer and chair of several special sessions in IEEE main conferences.
Xiaopeng Yuan received the B.Sc. degree in automation from the Beijing University of Aeronautics and Astronautics, China, in 2016, and the M.Sc. and Ph.D. degrees in electrical engineering, information technology, and computer engineering from RWTH Aachen University, Germany, in 2019 and March 2023, respectively. He is currently a post-doctoral research assistant with the INDA Institute, RWTH Aachen University, Germany. His current research interests include UAV-assisted wireless networks, wireless power transfer networks, ultra-reliable low-latency communication networks, trajectory design, and optimization technology.
Yue Cao received his Ph.D. degree from the Institute for Communication Systems (ICS) formerly known as Centre for Communication Systems Research, at University of Surrey, Guildford, UK, in 2013. Further to his Ph.D. study, he had conducted research fellow at the University of Surrey and academic faculty at Northumbria University, Lancaster University, UK, and Beihang University, China; he is currently the professor at Suzhou Research Institute of Wuhan University, and School of Cyber Science and Engineering, Wuhan University, China. His research interests focus on wireless network, transport control under the umbrella of ITS. He has been the associate editor of IEEE Access, Springer EURASIP Journal on Wireless Communications and Networking, KSII Transactions on Internet and Information Systems, etc.
Kaitao Meng received the B.E. and the Ph.D. degrees from the School of Electronic Information, Wuhan University, Wuhan, China, in 2016 and 2021, respectively. From 2021 to 2023, he was a postdoctoral researcher in the State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau, China. He is currently a Marie Sklodowska Curie Actions (MSCA) Postdoctoral fellow with the Department of Electronic and Electrical Engineering, University College London, UK. He was the recipient of 2022 EU Marie Curie Postdoctoral Fellowship. He is a guest editor for the Special Issue on Smart Environment Engineering for Integrated Sensing and Communication of the IEEE Transactions on Cognitive Communications and Networking. He served as the track co-chair of the IEEE VTC-spring 2025 and co-chair of the IEEE ICC Workshop 2025 and IEEE GlobeCom 2024 Workshop on Integrated Sensing and Communications.
Content
Part I : UAV trajectory design.- 1 Optimal 1D UAV Trajectory Design for Multiuser Wireless Power Transfer.- 2 Efficent UAV Trajectory Design for Multiuser Wireless Power Transfer.- 3 Sustainable Wireless Sensor Networks with UAV-Enabled Wireless Power Transfer.- Part II : Joint User scheduling and UAV trajectory design.- 4 Joint User Scheduling and UAV Trajectory Design for UAV-Aided Data Collection.- 5 Space Pruning Based Time Minimization in Delay Constrained Multi-Task UAV-Based Sensing.- 6 DRL-Based Joint User Scheduling and UAV Trajectory Design in UAV-Assisted MEC System.- Part III : Joint Resource allocation and UAV trajectory design.- 7 Joint Trajectories and Resource Allocation for UAV-Enabled Integrated Periodic Sensing and Communication.- 8 Joint Analog Beamforming and UAV Trajectory Planning for Nonlinear Wireless Power Transfer.- 9. Joint Directional Antenna Orientation and UAV Trajectory Design in UAV-Enabled Networks.- 10 Joint Trajectories and Resource Allocation for Multi-UAVs Assisted Nonlinear Wireless Power Transfer.- Part IV : Privacy-Preserving for UAV Networks.- 11 Joint Transmit Power and UAV Trajectory Design for UAV-Enabled Covert Communication.- 12 Intrusion Detection System in UAV devices.- 13 Collective Intrusion Detection System for UAV Networks.- 14 Misbehavior for Air-Ground Emergency Networks.