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Deep Learning Empowered Trajectory and Passive Beamforming Design in UAV-RIS Enabled Secure Cognitive Non-Terrestrial Networks

Research article (IEEE Wireless Communications Letters, 2023) · cited 44× · AI/ML
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Deep Learning Empowered Trajectory and Passive Beamforming Design in UAV-RIS Enabled Secure Cognitive Non-Terrestrial Networks

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Deep Learning Empowered Trajectory and Passive Beamforming Design in UAV-RIS Enabled Secure Cognitive Non-Terrestrial Networks is a scholarly article[1].

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  • Deep Learning Empowered Trajectory and Passive Beamforming Design in UAV-RIS Enabled Secure Cognitive Non-Terrestrial Networks's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Deep Learning Empowered Trajectory and Passive Beamforming Design in UAV-RIS Enabled Secure Cognitive Non-Terrestrial Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-empowered-trajectory-and-passive-beamforming-design-in-uav-ris-enabled-secure-cognitive-non-terrestrial-ne
MLA “Deep Learning Empowered Trajectory and Passive Beamforming Design in UAV-RIS Enabled Secure Cognitive Non-Terrestrial Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-empowered-trajectory-and-passive-beamforming-design-in-uav-ris-enabled-secure-cognitive-non-terrestrial-ne.
BibTeX @misc{4ortxyz_deep-learning-empowered-trajectory-and-passive-beamforming-design-in-uav-ris-enabled-secure-cognitive-non-terrestrial-ne_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep Learning Empowered Trajectory and Passive Beamforming Design in UAV-RIS Enabled Secure Cognitive Non-Terrestrial Networks}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-empowered-trajectory-and-passive-beamforming-design-in-uav-ris-enabled-secure-cognitive-non-terrestrial-ne}, note = {Accessed: 2026-05-24}}
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