A research paper first-authored by Zijun Yang, an undergraduate student at the University of Michigan – Shanghai Jiao Tong University Joint Institute (UM-SJTU JI, JI hereafter), has been accepted by the IEEE/ACM International Symposium on Quality of Service (IWQoS), a flagship conference in the field of network and service quality. The paper titled “How Resilient Are They? Robustness Analysis of LEO Satellite Routing” was co-authored by JI doctoral student Sheng Cen, with JI Associate Professor Yifei Zhu serving as the corresponding author.
The research featured in the paper represents the first systematic analysis of the robustness of large-scale Low Earth Orbit (LEO) satellite network routing algorithms and user service metrics under four major space environment threats, offering critical insights for the design of next-generation satellite network routing protocols.
The paper provides a comprehensive summary of the threats posed by sunlight interference, solar storms, high-load congestion, and hardware aging to LEO satellite networks, such as Starlink. By developing a custom high-efficiency simulation tool in C++, the team accurately modeled these threats and revealed the performance differences of various routing algorithms through both macro-level network metrics and micro-level user service indicators.
Organized jointly by IEEE and ACM, IWQoS has been dedicated to research on service quality since 1993. It is recognized as a Category B conference by the China Computer Federation (CCF). The 33rd edition of the conference will be held in 2025 in Gold Coast, Queensland, Australia, focusing on cutting-edge topics such as network reliability, resource management, and system robustness.
Author Introduction
Zijun Yang is a senior student majoring in Electrical and Computer Engineering at JI. Following graduation, he will pursue a Master’s degree in Computer Science at Carnegie Mellon University.
Sheng Cen, who earned his Bachelor’s degree in Electrical and Computer Engineering from SJTU in 2021, is currently pursuing a Ph.D. in Information and Communication Engineering at JI. His research focuses on AI-driven network optimization.
Yifei Zhu is an Associate Professor at JI. He received his Ph.D. in Computer Science from Simon Fraser University in Canada. His research interests include edge computing, multimedia networks and systems, and distributed machine learning systems. His work has been published in leading journals and conferences including IEEE Journal on Selected Areas in Communications, IEEE Transactions on Mobile Computing, ACM SIGCOMM, IEEE INFOCOM, and ACM MM.
