A DDQN policy for UAVs using semantic latent representations from DeepJSCC outperforms greedy and traveling salesman baselines in simulated device coverage and image reconstruction quality.
The problem is sequential and involves making real-time decisions under the uncer- tainty of the channel, variable connectivity with IoT devices, and dynamic movement of the UA V
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Semantic-Aware UAV Command and Control for Efficient IoT Data Collection
A DDQN policy for UAVs using semantic latent representations from DeepJSCC outperforms greedy and traveling salesman baselines in simulated device coverage and image reconstruction quality.