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

Research article (Wireless Communications and Mobile Computing, 2020) · cited 16× · AI/ML
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Deep Reinforcement Learning-Based Content Placement and Trajectory Design in Urban Cache-Enabled UAV Networks

Summary

Deep Reinforcement Learning-Based Content Placement and Trajectory Design in Urban Cache-Enabled UAV Networks is a scholarly article[1].

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  • Deep Reinforcement Learning-Based Content Placement and Trajectory Design in Urban Cache-Enabled UAV Networks's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Deep Reinforcement Learning-Based Content Placement and Trajectory Design in Urban Cache-Enabled UAV Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-reinforcement-learning-based-content-placement-and-trajectory-design-in-urban-cache-enabled-uav-networks
MLA “Deep Reinforcement Learning-Based Content Placement and Trajectory Design in Urban Cache-Enabled UAV Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-reinforcement-learning-based-content-placement-and-trajectory-design-in-urban-cache-enabled-uav-networks.
BibTeX @misc{4ortxyz_deep-reinforcement-learning-based-content-placement-and-trajectory-design-in-urban-cache-enabled-uav-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep Reinforcement Learning-Based Content Placement and Trajectory Design in Urban Cache-Enabled UAV Networks}}, year = {2026}, url = {https://4ort.xyz/entity/deep-reinforcement-learning-based-content-placement-and-trajectory-design-in-urban-cache-enabled-uav-networks}, note = {Accessed: 2026-05-24}}
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