Digital twinInternational
Schneider Electric, AVEVA, Nscale and Start Campus pilot AI digital twin
Schneider Electric, AVEVA, Nscale and Start Campus pilot AI digital twin Engineering.com
Latency optimization for 6G V2I digital twins
A framework builds a wireless V2I digital twin for 6G, exchanging model parameters via compressed personalized federated learning and steering post-reconstruction traffic with LLM-guided multi-agent reinforcement learning. The twin jointly predicts path loss and quality-of-experience KPIs, targeting end-to-end latency reduction in the closed control loop.
Why it matters
Demonstrates how coupling model learning with traffic control keeps latency bounded in a networked digital twin's closed loop.
Relevant to DT products
- Original headline
- LLM-Guided Dual-Stage Latency Optimization for Closed-Loop 6G V2I Digital Twins
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