Towards Scalable and Reliable Wireless Mesh Networking: Performance Analysis and Network Design
Date: 2026/05/26 – 2026/05/26
Dissertation Title: Towards Scalable and Reliable Wireless Mesh Networking: Performance Analysis and Network Design
Speaker: Lei Lei, Ph.D. candidate at SJTU Global College
Time: May 26 from 2:00-4:00 p.m., 2026 (Beijing Time)
Location: 415A, Longbin Building
Abstract
Wireless mesh networking provides a cost-effective, flexible, and easily deployable solution for extending connectivity in infrastructure-limited and dynamic scenarios, such as industrial IoT, UAV swarms, and vehicular networks. However, achieving high-throughput, low-latency, and reliable multi-hop transmission remains challenging due to unreliable wireless links, interference, and mobility-induced topology changes. This dissertation systematically investigates throughput, delay, reliability, and their interactions in wireless mesh networks. First, a multi-tier hierarchical mesh architecture with certain resource provisioning is proposed to overcome the throughput non-scalability of conventional homogeneous multi-hop networks. By organizing relay nodes into multiple tiers and decomposing long-range delivery into tier-wise short-range forwarding tasks, the architecture mitigates link-sharing bottleneck and enables throughput-scalable transmission. Second, the end-to-end delay performance of the proposed architecture is analyzed, showing that scalable throughput can be achieved while keeping delay growth much lower than that of conventional homogeneous multi-hop networks. Third, a stochastic network calculus (SNC)-guided joint routing, scheduling, and service allocation framework is developed for deadline-constrained traffic, which captures cross-layer coupling and improves timely delivery performance. Finally, a redundancy-controlled stochastic routing scheme, RATIO, is proposed for mobile mesh networks to balance routing reliability and resource efficiency. Overall, this dissertation provides both theoretical foundations and practical mechanisms for jointly improving throughput, latency, and reliability in next-generation wireless mesh systems.
Biography
Lei Lei received the B.S. degree from Tsinghua University, Beijing, China, in 2021. He is currently a Ph.D. student with the Wireless Networking and Artificial Intelligence Laboratory at the Global College, Shanghai Jiao Tong University. His current research interests include wireless mesh networking and 6G networks.