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Token-Oriented Semantic Communication with Pretrained Vision Transformers
Jiwoong Im, Minwoo Kim, Jaeho Lee +2
Token communications realize the semantic communication principle at the granularity of transformer tokens, providing a promising direction for client--server collaborative inferen…
A Survey on Robust Deep Joint Source-Channel Coding for Semantic Communications
Eunhye Hong, Taewoo Park, Yongjune Kim
Semantic communications (SCs) aim to transmit only the essential information required to perform given tasks, thereby improving communication efficiency. Deep learning-based joint…
Code-Weight Sphere Decoding
Yubeen Jo, Geon Choi, Yongjune Kim +1
Ultra-reliable low-latency communications (URLLC) demand high-performance error-correcting codes and decoders in the finite blocklength regime. This letter introduces a novel two-s…
Robust Deep Joint Source Channel Coding for Task-Oriented Semantic Communications
Taewoo Park, Eunhye Hong, Yo-Seb Jeon +2
Semantic communications based on deep joint source-channel coding (JSCC) aim to improve communication efficiency by transmitting only task-relevant information. However, ensuring r…
Vision Transformer-based Semantic Communications With Importance-Aware Quantization
Joohyuk Park, Yongjeong Oh, Yongjune Kim +1
Semantic communications provide significant performance gains over traditional communications by transmitting task-relevant semantic features through wireless channels. However, mo…