A vision-language LLM forecasts HAP attitudes from telemetry for proactive beamforming, achieving 22.1% higher user service ratio and 12.5% higher sum-rate than baselines in simulations with mean latency of 36 ms.
Aerial ISAC: A HAPS-assisted integrated sensing, communications and computing framework for enhanced coverage and security,
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Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications
A vision-language LLM forecasts HAP attitudes from telemetry for proactive beamforming, achieving 22.1% higher user service ratio and 12.5% higher sum-rate than baselines in simulations with mean latency of 36 ms.