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cloud.google.com·7h ago
AI Research
arXiv CS.AI·Sep 10·5 min read
Decision Transformer for UAV-Mounted RIS-Assisted Dynamic D2D Communications
TL;DR
A Decision Transformer was developed for optimizing UAV-mounted reconfigurable intelligent surface (RIS)-assisted device-to-device (D2D) communications. It effectively maximizes communication rates while adapting to dynamic environments, outperforming traditional methods in cross-scenario applications.
✦ Why It Matters
Consider implementing Decision Transformers in your UAV communication systems to enhance performance and adaptability.
Key Takeaways
- Explore Decision Transformers for optimizing UAV communication systems.
- Utilize deep reinforcement learning for trajectory optimization.
- Implement RIS to improve D2D communication rates.
- Leverage zero-shot transfer for better model generalization.
How It Works
The Decision Transformer integrates expert trajectories to learn optimal UAV trajectories and RIS phase adjustments. By modeling the stochastic nature of link activation and UAV dynamics, it dynamically adapts to changing environments, maximizing communication efficiency.