RL agent adaptively controls compression rate in semantic satellite communications to achieve 95% qualified image frames with no packet loss by using SNR predictions and queue management.
Generative AI-Enabled Semantic Communication: State-of-the-Art, Applications, and the Way Ahead , year=
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.NI 1years
2026 1verdicts
UNVERDICTED 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Learning to Compress and Transmit: Adaptive Rate Control for Semantic Communications over LEO Satellite-to-Ground Links
RL agent adaptively controls compression rate in semantic satellite communications to achieve 95% qualified image frames with no packet loss by using SNR predictions and queue management.