Deep Reinforcement Learning-Based Content Placement and Trajectory Design in Urban Cache-Enabled UAV Networks

<div>Illustration of cache-enabled UAV networks in urban environment. Multiple UAVs serve mobile users with fixed links. We maximize the achievable sum rate under storage capacity and energy constraints.</div>

Wireless Communications and Mobile Computing

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Figure 1: Deep Reinforcement Learning-Based Content Placement and Trajectory Design in Urban Cache-Enabled UAV Networks 