The agile mobility of Unmanned Aerial Vehicles (UAVs) makes them ideal for low-altitude edge computing. This paper proposes a novel multi-tier UAV edge computing system where lightweight Low-Tier UAVs (L-UAVs) function as edge servers for vehicle users, supported by a powerful High-Tier UAV (H-UAV) acting as a backup server. The objective is to minimize task execution delays while ensuring the long-term energy stability of the L-UAVs, despite unknown future system states. To this end, the problem is decoupled using Lyapunov optimization, which adaptively balances the priorities of task delays and L-UAV energy cost based on their real-time energy states. An efficient vehicle to L-UAV matching scheme is designed, and the joint optimization problem for task assignment, computing resource allocation, and trajectory control of L-UAVs and H-UAV is then solved via a Block Coordinate Descent (BCD) algorithm. Simulation results demonstrate a reduction in L-UAV transmission energy of over 26% and superior L-UAV energy stability compared to existing benchmarks.
UAV Control and Communication Enabled Low-Altitude Economy: Challenges, Resilient Architecture and Co-design Strategies
School of Information Science and Technology, Harbin Institute of Technology, Shenzhen（哈尔滨工业大学深圳校区信息科学与技术学院）；Information System Technology and Design, Singapore University of Technology and Design（新加坡科技设计大学信息系统技术设计系）；ChinaTelecom Singapore Innovation Research Institute（中国电信新加坡创新研究院）；Information System Technology and Design Pillar, Singapore University of Technology and Design, Singapore（新加坡科技设计大学信息系统技术设计支柱）
Low-altitude Multi-UAV-assisted Data Collection and Semantic Forwarding for Post-Disaster Relief
Jilin University（吉林大学）；Nanyang Technological University（南洋理工大学）；Southern University of Science and Technology（南方科技大学）；University of Sydney（悉尼大学）；Tohoku University（东北大学）
Heuristic Approach for Jointly Optimizing FeICIC and UAV Locations in Multi-Tier LTE-Advanced Public Safety HetNet
Florida International University（佛罗里达国际大学）；Wake Forest School of Medicine（维克森林医学院）；North Carolina State University（北卡罗来纳州立大学）；Motorola Solutions, Inc.（摩托罗拉解决方案公司）
When UAV Swarm Meets IRS: Collaborative Secure Communications in Low-altitude Wireless Networks
College of Computer Science and Technology, Jilin University（吉林大学计算机科学与技术学院）；Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University（教育部符号计算与知识工程重点实验室）；College of Computing and Data Science, Nanyang Technological University（南洋理工大学计算与数据科学学院）；Department of Electrical and Computer Engineering, Auburn University（阿伯茨罕大学电气与计算机工程系）；School of Electrical and Computer Engineering, The University of Sydney（悉尼大学电气与计算机工程学院）
Task Delay and Energy Consumption Minimization for Low-altitude MEC via Evolutionary Multi-objective Deep Reinforcement Learning
College of Computer Science and Technology, Jilin University（吉林大学计算机科学与技术学院）；College of Computing and Data Science, Nanyang Technological University（南洋理工大学计算与数据科学学院）；College of Software, Jilin University（吉林大学软件学院）；Department of Electrical and Computer Engineering, Auburn University（奥本大学电气与计算机工程系）
