Semantic Satellite Communications Based on Generative Foundation Model

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...

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Vydané v:IEEE journal on selected areas in communications Ročník 43; číslo 7; s. 2431 - 2445
Hlavní autori: Jiang, Peiwen, Wen, Chao-Kai, Li, Xiao, Jin, Shi, Li, Geoffrey Ye
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.07.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Attenuation
Bandwidths
Cochannel interference
Computer architecture
Delays
Encoders-Decoders
Error detection
error detector
Feature extraction
foundation model
Frequency modulation
Image quality
Image reconstruction
Logic gates
Low earth orbit satellites
OFDM
regenerative satellite
Satellite communications
Satellites
Semantic communication
Semantic communications
Semantics
Simulation
Transmission efficiency
ISSN:0733-8716, 1558-0008
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Popis
Shrnutí: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.
Bibliografia:ObjectType-Article-1
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content type line 14
ISSN:0733-8716
1558-0008
DOI:10.1109/JSAC.2025.3559113