ViT-based semantic communications yields +0.5 dB PSNR over CNN baselines, introduces cosine-similarity and Fourier analysis metrics, and demonstrates an SDR prototype.
Semantic communication systems for speech transmission
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Frequency selectivity in real MIMO-OFDM channels is identified as a key driver of performance loss in semantic communications, with mitigation strategies enabling closer approach to theoretical performance.
The paper surveys techniques for robust deep JSCC in semantic communications by categorizing them into robust training approaches and three types of adaptive approaches.
citing papers explorer
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On the Role of ViT and CNN in Semantic Communications: Analysis and Prototype Validation
ViT-based semantic communications yields +0.5 dB PSNR over CNN baselines, introduces cosine-similarity and Fourier analysis metrics, and demonstrates an SDR prototype.
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Bridging Neural Networks and Wireless Systems with MIMO-OFDM Semantic Communications
Frequency selectivity in real MIMO-OFDM channels is identified as a key driver of performance loss in semantic communications, with mitigation strategies enabling closer approach to theoretical performance.
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A Survey on Robust Deep Joint Source-Channel Coding for Semantic Communications
The paper surveys techniques for robust deep JSCC in semantic communications by categorizing them into robust training approaches and three types of adaptive approaches.