ViT-based semantic communications yields +0.5 dB PSNR over CNN baselines, introduces cosine-similarity and Fourier analysis metrics, and demonstrates an SDR prototype.
DeepWiVe: Deep-learning-aided wireless video 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.
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.