【学术讲座】信息与智能大讲堂青年论坛

文摘   2024-12-02 15:54   陕西  






讲座题目:
Joint Optimization of Trajectory, Offloading, Caching, and Migration for UAV-Assisted MEC

讲座嘉宾:

赵明雄 教授,云南大学
讲座时间
2024年12月8日  星期日  下午16:00

腾讯会议:

192-820-249

扫码注册:



赵明雄:博士,教授,博士生导师,云南大学软件学院网络空间安全系主任,云南省网络与信息安全硕士生导师团队负责人。2016年7月博士毕业于华南理工大学电子与信息学院,中国通信学会高级会员,中国通信学会数据安全专委会委员,《信息与智能学报(英文)》青年编委,全国信息安全产教融合共同体委员,全国人工智能+安全(数字安全)产教融合共同体委员。2018年入选云南大学“东陆中青年骨干教师”人才项目、2019年入选云南省“万人计划”青年拔尖人才项目、2021年入选云南大学“东陆人才计划”青年学者项目。


UAV-assisted MEC revolutionizes edge computing by deploying UAVs for real-time data processing in areas lacking infrastructure, supporting a wide range of applications from emergency responses to smart cities. Unlike edge servers, UAVs face substantial computational constraints, necessitating a comprehensive strategy that integrates UAV trajectory with task offloading, caching, and migration. Existing studies often overlook the synergy among these strategies, impacting their overall effectiveness. Furthermore, the focus on content pre-caching overlooks task caching's critical role in addressing high computational demands with limited UAV resources. This research aims to jointly optimize UAV trajectories and task management strategies, including offloading, caching, and migration. Utilizing the Lyapunov optimization framework, we break down the complex optimization problem into manageable subproblems: UAV placement, user-UAV association, task offloading, scheduling , and bandwidth allocation, addressed iteratively using the Block Coordinate Descent method. Specifically, the scheduling subproblem is transformed into a non-convex quadratically constrained quadratic programming problem, managed effectively through semidefinite relaxation and a probabilistic mapping approach. Our simulations show that this integrated approach significantly boosts system throughput and reduces execution times compared to conventional methods. This study enhances the understanding of the interplay between UAV trajectory planning and task management, offering vital theoretical insights for advancing UAV-assisted MEC systems.




·主办单位·

Journal of Information and Intelligence

《西安电子科技大学学报》

《西安电子科技大学学报(社会科学版)》

《电子科技》

·协办单位·

西安电子科技大学通信工程学院

·致谢·

陕西省科学技术协会科技期刊项目




西安电子科技大学学报
《西安电子科技大学学报》由西安电子科技大学主办,创刊于1955年。是工程索引数据库(EI)全部收录期刊、中国科学引文数据库(CSCD)全部收录期刊,在电子信息科学领域具有很高的学术声誉和影响力。
 最新文章