Deep Reinforcement Learning for Semantic Secure Energy Efficiency Optimization in IRS-Assisted UAV Communications.

Ji X, Sun S, Wang H, Liu P, Hao W

Open source

DOI
10.3390/s26185779
Published
2026 Sep 11
Container
Sensors (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3390/s26185779,
  title = {Deep Reinforcement Learning for Semantic Secure Energy Efficiency Optimization in IRS-Assisted UAV Communications.},
  author = {Ji X and Sun S and Wang H and Liu P and Hao W},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26185779},
  url = {https://doi.org/10.3390/s26185779}
}

RIS

TY  - JOUR
TI  - Deep Reinforcement Learning for Semantic Secure Energy Efficiency Optimization in IRS-Assisted UAV Communications.
AU  - Ji X
AU  - Sun S
AU  - Wang H
AU  - Liu P
AU  - Hao W
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26185779
UR  - https://doi.org/10.3390/s26185779
ER  - 

APA

X, J., S, S., H, W., P, L., & W, H. (2026). Deep Reinforcement Learning for Semantic Secure Energy Efficiency Optimization in IRS-Assisted UAV Communications.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26185779

Source records