Latency-Aware Generative Semantic Communications With Pre-Trained Diffusion Models
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2024.3429295
Abstract: Generative foundation AI models have recently shown great success in synthesizing natural signals with high perceptual quality using only textual prompts and conditioning signals to guide the generation process. This enables semantic communications at extremely… read more here.
Keywords: latency aware; pre trained; generative semantic; aware generative ... See more keywords
Semantic Successive Refinement: A Generative AI-Aided Semantic Communication Framework
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Cognitive Communications and Networking"
DOI: 10.1109/tccn.2025.3526839
Abstract: Semantic Communication (SC) is an emerging technology aiming to surpass the Shannon limit. Traditional SC strategies often minimize signal distortion between the original and reconstructed data, neglecting perceptual quality, especially in low Signal-to-Noise Ratio (SNR)… read more here.
Keywords: system; semantic communication; semantic successive; generative semantic ... See more keywords
Generative Semantic Communication via Textual Prompts: Latency Performance Tradeoffs
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2025.3566488
Abstract: This paper develops an edge-device collaborative Generative Semantic Communications (Gen SemCom) framework leveraging pre-trained Multi-modal/Vision Language Models (M/VLMs) for ultra-low-rate semantic communication via textual prompts. The proposed framework optimizes the use of M/VLMs on the… read more here.
Keywords: semantic communication; generative semantic; textual prompts; via textual ... See more keywords