open-source-6G-projects

Welcome to this repo. Similar to the 5G list (https://github.com/ramrattle/100-opensource-5G-projects), this is a curated list of open-source 6G projects. PRs welcome.

Platforms and datasets

• DeepVerse 6G — digital replicas of DeepSense 6G scenarios with synchronized vision, LiDAR, radar, positioning, and wireless data. Links: https://deepverse6g.net/ , https://lnkd.in/gtD4vS4V , https://lnkd.in/gi9m--e2
• BUPTCMCC-6G-DataAI+ — generative channel dataset for 6G AI air interface research covering mid-bands, mmWave, and THz with XL-MIMO, RIS, and industrial IoT scenarios. arXiv: https://arxiv.org/abs/2410.10839

Toolkits and frameworks

• Sionna Research Kit — tutorials and docs for AI-RAN prototyping. Links: https://nvlabs.github.io/sionna/rk/tutorials , https://nvlabs.github.io/sionna/rk/ , https://github.com/nvlabs/sionna-rk

Projects (additional 6G-specific open source)

• NVIDIA Aerial CUDA-Accelerated RAN: https://github.com/NVIDIA/aerial-cuda-accelerated-ran
• NVIDIA Aerial Framework: https://github.com/NVIDIA/aerial-framework
• Open Cloud Semantic RAN: https://github.com/6G-Cloud-RnE-Open-Hub/open-cloud-semantic-ran
• 6G Edge Computing Simulation (EdgeGO): https://github.com/mobinets/6G-Edge-Computing-Simulation-Deployment
• 6G Channel Estimation Dataset: https://github.com/ocatak/6g-channel-estimation-dataset
• 6G Security: https://github.com/ocatak/6g_security
• Radio Localization (5G/6G mmWave/THz): https://github.com/chenhui07c8/Radio_Localization
• Toward End-to-End 6G Terahertz Networks: https://github.com/mychele/toward-e2e-6g-terahertz-networks
• MEC-enabled UAV with IRS-assisted 6G THz Networks: https://github.com/IntelligentNetworkingLAB/MEC-enabled-UAV-with-IRS-assisted-6G-THz-Networks
• LEO Satellite Coverage Maximization in 6G Sub-THz Networks (MAPPO-DRL): https://github.com/IntelligentNetworkingLAB/LEO-Satellite-Coverage-Maximization-in-6G-Sub-THz-Networks-by-MAPPO-DRL
• Radar-aided 6G Beam Prediction: https://github.com/umut-demirhan/Radar-aided-beam-prediction
• CommLLM (LLM-enhanced multi-agent systems for 6G): https://github.com/jiangfeibo/CommLLM
• LAM4PHY 6G: https://github.com/AI4Wireless/LAM4PHY_6G
• GenSC-6G: https://github.com/CQILAB-Official/GenSC-6G
• VOTA (6G-RAN experimentation with virtualized OTA workloads): https://github.com/cl0713/vota
• 6G Testbeds (site repo): https://github.com/6G-RF/6G-Testbeds.github.io

Papers (arXiv/IEEE) with open source components

• Radar Aided 6G Beam Prediction: Deep Learning Algorithms and Real-World Demonstration — arXiv: https://arxiv.org/abs/2111.09676 — Code: https://github.com/umut-demirhan/Radar-aided-beam-prediction
• Large Language Model Enhanced Multi-Agent Systems for 6G Communications — arXiv: https://arxiv.org/abs/2312.07850 — Code: https://github.com/jiangfeibo/CommLLM
• Toward End-to-End, Full-Stack 6G Terahertz Networks — arXiv: https://arxiv.org/abs/2005.07989 — Code: https://github.com/mychele/toward-e2e-6g-terahertz-networks
• EdgeGO: A Resource Sharing Framework for 6G Edge Computing in Massive IoT Systems — IEEE Xplore: https://ieeexplore.ieee.org/document/9375469/ — Code: https://github.com/mobinets/6G-Edge-Computing-Simulation-Deployment
• VOTA: Parallelizing 6G-RAN Experimentation with Virtualized Over-The-Air Workloads — arXiv: https://arxiv.org/abs/2509.00130 — Code: https://github.com/cl0713/vota