A hierarchical framework combining semidefinite relaxation for secure precoding with LLM-guided multi-agent reinforcement learning for drone trajectories is claimed to outperform existing baselines in secrecy rate and energy efficiency.
Maximizing network throughput in heterogeneous UA V networks,
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LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks
A hierarchical framework combining semidefinite relaxation for secure precoding with LLM-guided multi-agent reinforcement learning for drone trajectories is claimed to outperform existing baselines in secrecy rate and energy efficiency.