most citedSeq2Seq-SC: End-to-End Semantic Communication Systems with Pre-trained Language Model

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

eess.SP2022★ 2 cited

Seq2Seq-SC: End-to-End Semantic Communication Systems with Pre-trained Language Model

Ju-Hyung Lee, Dong-Ho Lee, Eunsoo Sheen +2

In this work, we propose a realistic semantic network called seq2seq-SC, designed to be compatible with 5G NR and capable of working with generalized text datasets using a pre-trai…