1 citations · 2 across the 5 of their papers we have counts for
6 papers
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…
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…
RISE: Real-time Image Processing for Spectral Energy Detection and Localization
Chung-Hsuan Tung, Zhenzhou Qi, Tingjun Chen
Energy detection is widely used for spectrum sensing, but accurately localizing the time and frequency occupation of signals in real-time for efficient spectrum sharing remains cha…
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…
Nexus: Efficient and Scalable Multi-Cell mmWave Baseband Processing with Heterogeneous Compute
Zhenzhou Qi, Chung-Hsuan Tung, Zhihui Gao +1
The rapid adoption of 5G New Radio (NR), particularly in the millimeter-wave (mmWave) spectrum, imposes stringent demands on the flexibility, scalability, and efficiency of baseban…
MadRadar: A Black-Box Physical Layer Attack Framework on mmWave Automotive FMCW Radars
David Hunt, Kristen Angell, Zhenzhou Qi +2
Frequency modulated continuous wave (FMCW) millimeter-wave (mmWave) radars play a critical role in many of the advanced driver assistance systems (ADAS) featured on today's vehicle…