HyPE integrates DRL mobility prediction, LLM-based UAV trajectory and inference assignment, and greedy heuristics for service placement and routing to jointly optimize latency, output fidelity, and personalization continuity in UAV-assisted 6G networks.
M.2160-0: Framework and overall objectives of the future development of IMT for 2030 and beyond,
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Quality-Aware Personalized AI Service Provisioning in UAV-Assisted 6G Networks
HyPE integrates DRL mobility prediction, LLM-based UAV trajectory and inference assignment, and greedy heuristics for service placement and routing to jointly optimize latency, output fidelity, and personalization continuity in UAV-assisted 6G networks.