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cs.IT2026
Channel Knowledge Empowered Finite-Blocklength Rate-Splitting Transmission for High-Mobility Autonomous Driving
Yi Wang, Yingyang Chen, Feng Bai +5
To meet the extended ultra-low latency and high reliability (xURLLC) requirements for autonomous driving sys-tems, multiple access schemes must operate reliably in high-mobility an…
cs.IT2026
Towards Autonomous Driving with Short-Packet Rate Splitting: Age of Information Analysis and Optimization
Zirui Zheng, Yingyang Chen, Xinyue Pei +5
To address the high mobility impacts and the ultra-reliable and low-latency communication (URLLC) requirements in autonomous driving scenarios, rate-splitting multiple access (RSMA…
cs.IT2026
Scalable Design for RIS-Assisted Multi-User Downlink System Empowered by RSMA under Partial CSI
Yifan Fang, Bile Peng, Yingyang Chen +3
In large-scale reconfigurable intelligent surface (RIS) communication systems, the precise acquisition of channel state information (CSI) is challenging. Consider a practical RIS c…