ML-Based Solutions for 6G THz Drone Communications
Overview
ML-based channel selection / capacity optimization for 6G THz-band drone networks (NTN), considering ultra-massive MIMO and MAC-level issues.
Problem
THz (0.1–10 THz) channels for 6G drone networks are highly dynamic and uncertain due to mobility, blockage, and atmospheric loss—making static strategies fragile.
Solution
AI/ML models trained on changing channel data to improve channel/frequency selection, capacity/throughput optimization, and multi-antenna configuration decisions.
Highlights
- •Channel/frequency selection and link adaptation
- •Capacity/throughput optimization under uncertainty
- •Multi-antenna (ultra-massive MIMO) configuration decisions
- •MAC-level strategy research
- •THz propagation + capacity modeling
Tech Stack
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