AINeutralarXiv – CS AI · 6h ago6/10
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Rate-Aware Quantum-Inspired Trajectory Learning for Interference-Limited Multi-UAV Networks
Researchers propose RA-QAGC, a quantum-inspired algorithm combining graph condensation with reinforcement learning to optimize UAV trajectory coordination in interference-limited networks. The approach demonstrates 15% throughput gains and 34% improvements in priority-user performance compared to existing methods, addressing scalability challenges in real-time multi-UAV coordination.