S Li, Y Sun, J Zhang, K Cai, S Cui, X Xu - arXiv preprint arXiv:2405.05738, 2024 - arxiv.org
Semantic communication has drawn substantial attention as a promising paradigm to achieve effective and intelligent communications. However, efficient image semantic …
Y Bo, S Shao - arXiv preprint arXiv:2401.01564, 2024 - arxiv.org
We consider multi-user semantic communications over broadcast channels. While most existing works consider that each receiver requires either the same or independent semantic …
Y Rong, G Nan, M Zhang, S Chen, S Wang… - arXiv preprint arXiv …, 2024 - arxiv.org
Recently proliferated deep learning-based semantic communications (DLSC) focus on how transmitted symbols efficiently convey a desired meaning to the destination. However, the …
Advances in machine learning technology have enabled real-time extraction of semantic information in signals, which has the potential to revolutionize signal processing techniques …
In recent years, semantic communication has received significant attention from both academia and industry, driven by the growing demands for ultra-low latency and high …
C Liang, D Li, Z Lin, H Cao - IEEE Communications Letters, 2023 - ieeexplore.ieee.org
Efficient image transmission while preserving semantic information is crucial for many applications but poses challenges when communication channels have limited capacity …
T Wu, Z Chen, M Tao, B Xia, W Zhang - arXiv preprint arXiv:2406.10556, 2024 - arxiv.org
Degraded broadcast channels (DBC) are a typical multiuser communication scenario, Semantic communications over DBC still lack in-depth research. In this paper, we design a …
G Chen, G Nan, Z Jiang, H Du, R Shi… - IEEE …, 2024 - ieeexplore.ieee.org
In this letter, we present SemGuarder, a novel deep learning-based semantic communication (DLSC) system that simultaneously incorporates physical-layer semantic …