Proud to highlight this FCP work! Excellent collaborative work by Zhouyou Gu and visiting researchers from Yonsei University advancing real-time GPU-based channel emulation.

🔗 github: ocudu-gpu-channel, a GPU-based channel emulator for real-time OCUDU/srsRAN stacks over ZMQ connections. https://lnkd.in/gtseHFfb

💡 This update brings together new features as
– Live Sionna RT integration for channel updates in dynamic scenarios.
– Multi-antenna support, including rank-1 MISO/SIMO.
– A unified dashboard for visualization.

✨ This update includes major contributions from Minwoo Eun and Hyunsoo LEE, both visiting students at SUTD from Prof. Jeonghun Park’s group at Yonsei University.

🔧 We tested the integration on an NVIDIA RTX 5090 using actual OCUDU gNBs and srsRAN UEs. Some open issues remain, and we have documented the validation results, known limitations, and outstanding issues in the repository.

💫 Our aim is to make wireless channel experiments with OCUDU easier to inspect, reproduce, and extend. Feedback and contributions are welcome! We will also be giving a talk at the OCUDU Ecosystem Developer Summit this October in Alexandria, Virginia. Looking forward to sharing more about the work there. The link to the talk: https://lnkd.in/gbJ-ziJn

📝 This project is primarily developed at FCCLab under Future Communications Research & Development Programme at Singapore University of Technology and Design (SUTD), with strategic guidance from Prof. Jihong Park.

#OCUDU #Sionna #WirelessChannel #GPU #FCCLAB #SUTD #FCP