Integrated Sensing and Communications for Low-Altitude Economy: A Deep Reinforcement Learning Approach
City University of Hong Kong（香港城市大学）；The Hong Kong Polytechnic University（香港理工大学）；Shanghai Jiao Tong University（上海交通大学）；Xiamen University（厦门大学）；The Chinese University of Hong Kong, Shenzhen（香港中文大学（深圳））；Shenzhen Future Network of Intelligence Institute（深圳未来智能网络研究院）；Guangdong Provincial Key Laboratory of Future Networks of Intelligence（广东省未来智能网络重点实验室）
Xiaowen Ye, Yuyi Mao, Xianghao Yu, Shu Sun, Liqun Fu, Jie Xu
This paper studies an integrated sensing and communications (ISAC) system for low-altitude economy (LAE), where a ground base station (GBS) provides communication and navigation services for authorized unmanned aerial vehicles (UAVs), while sensing the low-altitude airspace to monitor the unauthorized mobile target. The expected communication sum-rate over a given flight period is maximized by jointly optimizing the beamforming at the GBS and UAVs' trajectories, subject to the constraints on the average signal-to-noise ratio requirement for sensing, the flight mission and collision avoidance of UAVs, as well as the maximum transmit power at the GBS. Typically, this is a sequential decision-making problem with the given flight mission. Thus, we transform it to a specific Markov decision process (MDP) model called episode task. Based on this modeling, we propose a novel LAE-oriented ISAC scheme, referred to as Deep LAE-ISAC (DeepLSC), by leveraging the deep reinforcement learning (DRL) technique. In DeepLSC, a reward function and a new action selection policy termed constrained noise-exploration policy are judiciously designed to fulfill various constraints. To enable efficient learning in episode tasks, we develop a hierarchical experience replay mechanism, where the gist is to employ all experiences generated within each episode to jointly train the neural network. Besides, to enhance the convergence speed of DeepLSC, a symmetric experience augmentation mechanism, which simultaneously permutes the indexes of all variables to enrich available experience sets, is proposed. Simulation results demonstrate that compared with benchmarks, DeepLSC yields a higher sum-rate while meeting the preset constraints, achieves faster convergence, and is more robust against different settings.
AI-Driven Low-Altitude Economy: Spectrum, Mobility, and Validation
Department of Electrical Engineering, Polytechnique Montréal & Poly-Grames Research Centre（电气工程系，蒙特利尔大学Polytechnique及Poly-Grames研究中心）；Department of Electrical and Computer Engineering, North Carolina State University（电气与计算机工程系，北卡罗来纳州立大学）；Department of Electrical and Computer Engineering and Frost Institute for Data Science and Computing, University of Miami（电气与计算机工程系及Frost数据科学与计算研究所，迈阿密大学）
Efficient Onboard Vision-Language Inference in UAV-Enabled Low-Altitude Economy Networks via LLM-Enhanced Optimization
College of Computing and Data Science, Nanyang Technological University, Singapore（计算与数据科学学院、新加坡国立科技大学）；The University of Sydney, Sydney, Australia（悉尼大学、澳大利亚悉尼）；Department of Electrical and Computer Engineering, Western University, London, Canada（电气与计算机工程系、西方大学、加拿大伦敦）；Department of Electrical and Computer Engineering, Sungkyunkwan University, South Korea（电气与计算机工程系、全州大学、韩国）
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）
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）
Agentic Satellite-Augmented Low-Altitude Economy and Terrestrial Networks: A Survey on Generative Approaches
School of Information and Electronics, Beijing Institute of Technology（信息与电子学院，北京理工大学）；College of Computing and Data Science, Nanyang Technological University（计算与数据科学学院，南洋理工大学）；Department of Electrical and Computer Engineering, Sungkyunkwan University（电气与计算机工程系，首尔大学）；School of Electrical and Computer Engineering, University of Sydney（电气与计算机工程学院，悉尼大学）；School of Electrical and Electronics Engineering, Nanyang Technological University（电气与电子工程学院，南洋理工大学）；School of Cyberspace Science and Technology, Beijing Institute of Technology（网络空间科学与技术学院，北京理工大学）
Multi-Agent Collaborative Intrusion Detection for Low-Altitude Economy IoT: An LLM-Enhanced Agentic AI Framework
Jilin University（吉林大学）；Nanyang Technological University（南洋理工大学）；Edith Cowan University（伊迪丝科文大学）；the University of Technology Sydney（悉尼科技大学）；The University of Sydney（悉尼大学）；Tohoku University（东北大学）
BeamVLM for Low-altitude Economy: Generative Beam Prediction via Vision-language Models
Southern University of Science and Technology（南方科技大学）；ShanghaiTech University（上海科技大学）；The Chinese University of Hong Kong (Shenzhen)（香港中文大学（深圳））；Beijing Institute of Technology（北京理工大学）
Agentic AI for Embodied-enhanced Beam Prediction in Low-Altitude Economy Networks
School of Electronic Science and Engineering, South China Normal University（南方科技大学电子科学与工程学院）；School of Intelligent Engineering, Shaoguan university（韶关大学智能工程学院）；School of Automation, Guangdong University of Technology（广东工业大学自动化学院）
Edge-Assisted Multi-View Localization for Low-Altitude Economy under GPS-Challenged Environments
The Hong Kong University of Science and Technology（香港科技大学）；City University of Hong Kong（香港城市大学）；Zhejiang University（浙江大学）；Lingnan University（岭南大学）；Beihang University（北京航空航天大学）
Joint Task Offloading and Resource Allocation in Low-Altitude MEC via Graph Attention Diffusion
School of Computer Science, Northwestern Polytechnical University（西北工业大学计算机学院）；School of Cyber Engineering, Xidian University（西安电子科技大学电子工程学院）；Center for 6G Technology, Khalifa University of Science and Technology（卡塔尔科学技术大学6G技术中心）；School of Electrical and Electronics Engineering, Nanyang Technological University（南洋理工大学电子与电气工程学院）
Multi-objective Low-altitude IRS-assisted ISAC Optimization via Generative AI-enhanced Deep Reinforcement Learning
Jilin University（吉林大学）；The University of Hong Kong（香港大学）；Artificial Intelligence Research Institute, Shenzhen MSU-BIT University（深圳北理莫斯科大学人工智能研究院）；College of Computer Science and Software Engineering, Shenzhen University（深圳大学计算机科学与软件工程学院）；Department of Electrical and Computer Engineering, The University of British Columbia（不列颠哥伦比亚大学电气与计算机工程系）
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）
A Disentangled Representation Learning Framework for Low-altitude Network Coverage Prediction
School of Information Science and Engineering, Southeast University（东南大学信息科学与工程学院）；College of Physics, Nanjing University of Aeronautics and Astronautics（南京航空航天大学物理学院）；Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong-Shenzhen（香港中文大学（深圳）大数据研究院）；Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, Ministry of Industry and Information Technology, Nanjing University of Aeronautics and Astronautics（南京航空航天大学电磁频谱空间动态认知系统重点实验室）
SkyChain Intelligence: A Blockchain-Secured Multi-Agent DRL Framework for Low-Altitude Embodied Artificial Intelligence
WeBank-NTU Joint Research Institute on Fintech, Nanyang Technological University（微众-南洋理工大学金融科技联合研究院）；College of Computing and Data Science, Nanyang Technological University（南洋理工大学计算与数据科学学院）；School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen（香港中文大学（深圳）理学院）；School of Information and Communication Engineering, University of Electronic Science and Technology of China（电子科技大学信息与通信工程学院）；School of Electrical and Computer Engineering, University of Sydney（悉尼大学电气与计算机工程学院）；Graduate School of Information Sciences, Tohoku University（东北大学信息科学研究科）；Department of Electrical and Computer Engineering, Sungkyunkwan University（成均馆大学电气与计算机工程系）
Jilin University（吉林大学）；Nanyang Technological University（南洋理工大学）；Dalian Maritime University（大连海事大学）；Singapore University of Technology and Design（新加坡科技设计大学）
