Semantic Satellite Communications Based on Generative Foundation Model
arxiv(2024)
摘要
Satellite communications can provide massive connections and seamless
coverage, but they also face several challenges, such as rain attenuation, long
propagation delays, and co-channel interference. To improve transmission
efficiency and address severe scenarios, semantic communication has become a
popular choice, particularly when equipped with foundation models (FMs). In
this study, we introduce an FM-based semantic satellite communication
framework, termed FMSAT. This framework leverages FM-based segmentation and
reconstruction to significantly reduce bandwidth requirements and accurately
recover semantic features under high noise and interference. Considering the
high speed of satellites, an adaptive encoder-decoder is proposed to protect
important features and avoid frequent retransmissions. Meanwhile, a
well-received image can provide a reference for repairing damaged images under
sudden attenuation. Since acknowledgment feedback is subject to long
propagation delays when retransmission is unavoidable, a novel error detection
method is proposed to roughly detect semantic errors at the regenerative
satellite. With the proposed detectors at both the satellite and the gateway,
the quality of the received images can be ensured. The simulation results
demonstrate that the proposed method can significantly reduce bandwidth
requirements, adapt to complex satellite scenarios, and protect semantic
information with an acceptable transmission delay.
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