Semantic Edge Computing (SEC) and Semantic Communications (SemComs) have been proposed as viable approaches to achieve real-time edge-enabled intelligence in sixth …
B Flowers, S Dey - IEEE Access, 2024 - ieeexplore.ieee.org
This paper presents Bottom-up Residual vector quantization for learned Image Compression (BRIC). This novel deep learning-based image compression method quantizes latent …
Space-air-ground integrated networks (SAGINs) are emerging as a pivotal element in the evolution of future wireless networks. Despite their potential, the joint design of …
K Zhou, G Zhang, Y Cai, Q Hu, G Yu - arXiv preprint arXiv:2501.01172, 2025 - arxiv.org
Recently, semantic communication (SC) has garnered increasing attention for its efficiency, yet it remains vulnerable to semantic jamming attacks. These attacks entail introducing …
In this paper, the problem of joint transmission and computation resource allocation for probabilistic semantic communication (PSC) network with rate splitting multiple access …
Z Zhao, Y Tang, Y Yang, Y Dong, L Xu… - 2024 IEEE 99th …, 2024 - ieeexplore.ieee.org
This paper investigates semantic energy efficiency in a non-orthogonal multiple access (NOMA) enabled integrated sensing and semantic communication (ISSC) system. The …