3 papers
cs.IT2026
Channel Knowledge Empowered Finite-Blocklength Rate-Splitting Transmission for High-Mobility Autonomous Driving
Yi Wang, Yingyang Chen, Feng Bai +2
To meet the extended ultra-low latency and high reliability (xURLLC) requirements for autonomous driving systems, multiple access schemes must operate reliably in high-mobility and…
eess.SP2025
Autonomous Driving with RSMA-Enabled Finite Blocklength Transmissions: Ergodic Performance Analysis and Optimization
Yi Wang, Yingyang Chen, Li Wang +3
Rate-splitting multiple access (RSMA) is a key technology for next-generation multiple access systems due to its robustness against imperfect channel state information (CSI). This…
cs.DC2024
Failure-Resilient Distributed Inference with Model Compression over Heterogeneous Edge Devices
Li Wang, Liang Li, Lianming Xu +2
The distributed inference paradigm enables the computation workload to be distributed across multiple devices, facilitating the implementations of deep learning based intelligent s…