With the rapid development of UAV (Unmanned Aerial Vehicle) technology, UAVs have been widely applied in the fields of communication and sensing, including environmental monitoring, military reconnaissance, disaster response, and intelligent transportation. For a specific task, the effective operation with optimized mission performance of UAVs relies on the efficient mission and resource planning, including available spectrum, UAV flight path, computing resource, and energy consumption, etc. Among various mission and resource planning methods, intelligent algorithms, such as reinforcement learning and evolutionary algorithms, have been proven to be effective.
This special session will focus on the intelligent algorithms and their applications in mission and resource planning to optimize the overall mission performance for UAV communication and sensing systems. Submissions are invited that highlight theoretical advancements, practical implementations, and applications in the above field.
Topics (Including but not limited to)
- Sensor performance oriented UAV mission planning in Complex Environments | 面向传感器性能的复杂环境下无人机任务规划
- Mission and path planning for UAV enabled networks | 无人机网络的任务和路径规划
- AI-Based UAV Task Scheduling and Resource Allocation Methods | 基于人工智能的无人机任务调度和资源分配方法
- Path Planning and Resource Optimization for UAV Swarms | 无人机群与编队的路径规划和资源优化
- UAV-Assisted Edge Computing Resource Scheduling and Task Offloading Strategies | 无人机辅助边缘计算资源调度和任务卸载策略
- Applications of Information Fusion in UAV Task Planning | 信息融合在无人机任务规划中的应用
Chair: Assoc. Prof. Zhichao Sun, University of Electronic Science and Technology of China, China
Zhichao Sun received the B.S. and Ph.D. degrees in electronic engineering from the University of Electronic Science and Technology of China, Chengdu, China, in 2012 and 2017, respectively. From 2016 to 2017, he was a Visiting PhD with the Department of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK, USA. He was with Huawei Technologies Company Ltd., Shenzhen, China, from 2018 to 2019. He is now an Associate Professor with the University of Electronic Science and Technology of China. His research interests include synthetic aperture radar and evolutionary computation applications
Co-chair: Assoc. Prof. Hongyang An, University of Electronic Science and Technology of China, China
Hongyang An received the B.S. and Ph.D. degrees in electronic engineering from the University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2015 and 2020, respectively. From 2019 to 2020, he was a Visiting Ph.D. student with Nanyang Technological University, Singapore.
He is currently an Associate Professor with UESTC. His research interests include synthetic aperture radar imaging and applications of deep learning in radar signal processing. He served as the guest editors of Remote Sensing and Applied Science.
※ Important Dates | 重要日期
|
※ Submission Guideline / 投稿指南Template Download: Formatting.doc (文章模板下载) Please log in the
Submission System; ( .pdf only) to submit your full paper and abstract. |