About MVX
MVX is the world’s first configurable and scalable co-simulation framework that incorporates realistic physical world simulation with a differentiable accurate ray tracing wireless simulation that generates multi-agent and multimodal datasets for AI-driven digital twin applications in vehicular communication systems.
Digital Twin Simulations
Physical Environment Simulation
Wireless Environment Simulation
Key Features
High-Fidelity Co-Simulation
MVX provides high-fidelity realistic co-simulation thanks to the realistic quality of the CARLA simulator and the high quality of Ray-traced wireless data of the sionna simulator.
Configurability
MVX provides a highly configurable simulation that allows all aspects of the physical world and the wireless environment to be manipulated.
Multimodality
MVX is designed for large-scale vehicular communication systems, ensuring optimal performance under heavy loads.
Multiple Maps
Main Applications
Beam Direction and LoS Blockage Prediction.
Antenna Position Optimization.
MVX Code and Dataset
The MVX code and dataset will be available soon.
Stay tuned for updates!
MVX Code
MVX Dataset
How to Cite the MVX Paper
If you wish to reference our research paper in your work, please use the following citation:
@ARTICLE{10660494, author={Gharsallah, Ghazi and Kaddoum, Georges}, journal={IEEE Open Journal of the Communications Society}, title={MVX-ViT: Multimodal Collaborative Perception for 6G V2X Network Management Decisions Using Vision Transformer}, year={2024}, volume={}, number={}, pages={1-1}, keywords={Wireless communication;Wireless sensor networks;Collaboration;Sensors;Accuracy;6G mobile communication;Base stations;6G;V2X;collaborative perception;vision transformer;network management}, doi={10.1109/OJCOMS.2024.3452591}}
About MVX Team
We are a team of passionate AI researchers and engineers dedicated to pushing the boundaries of 6G V2X technology. Our mission is to create a safer, more efficient, and sustainable future for transportation and smart cities.
