3 papers
cs.DC2026
Beaver: Elastic GPU Sharing between ML and Latency-Critical vRAN Workloads
Yuncheng Yao, Zhenzhou Qi, Junyao Zheng +3
Within the shared industry vision of AI-RAN, AI-and-RAN seeks to co-locate virtualized radio access network (vRAN) workloads and AI services on shared GPUs. This sharing is inheren…
eess.SP2026
Real-Time and Scalable Zak-OTFS Receiver Processing on GPUs
Junyao Zheng, Chung-Hsuan Tung, Yuncheng Yao +6
Orthogonal time frequency space (OTFS) modulation offers superior robustness to high-mobility channels compared to conventional orthogonal frequency-division multiplexing (OFDM) wa…
cs.NI2025
DecodeX: Exploring and Benchmarking of LDPC Decoding across CPU, GPU, and ASIC Platforms
Zhenzhou Qi, Yuncheng Yao, Yiming Li +4
Emerging virtualized radio access networks (vRANs) demand flexible and efficient baseband processing across heterogeneous compute substrates. In this paper, we present DecodeX, a u…