Semantic change driven generative semantic communication framework
The burgeoning generative artificial intelligence technology offers novel insights into the
development of semantic communication (SemCom) frameworks. These frameworks hold …
development of semantic communication (SemCom) frameworks. These frameworks hold …
Agent-driven Generative Semantic Communication for Remote Surveillance
In the era of 6G, featuring compelling visions of intelligent transportation system, digital
twins, remote surveillance is poised to become a ubiquitous practice. The substantial data …
twins, remote surveillance is poised to become a ubiquitous practice. The substantial data …
Deep learning-empowered semantic communication systems with a shared knowledge base
Deep learning-empowered semantic communication is regarded as a promising candidate
for future 6G networks. Although existing semantic communication systems have achieved …
for future 6G networks. Although existing semantic communication systems have achieved …
Personalized Federated Learning for Generative AI-Assisted Semantic Communications
Semantic Communication (SC) focuses on transmitting only the semantic information rather
than the raw data. This approach offers an efficient solution to the issue of spectrum …
than the raw data. This approach offers an efficient solution to the issue of spectrum …
Wireless semantic transmission via revising modules in conventional communications
Semantic communication has become a widely researched area due to its high spectrum
efficiency and error correction capabilities. Some studies used deep learning to extract …
efficiency and error correction capabilities. Some studies used deep learning to extract …
Semantic Successive Refinement: A Generative AI-aided Semantic Communication Framework
Semantic Communication (SC) is an emerging technology aiming to surpass the Shannon
limit. Traditional SC strategies often minimize signal distortion between the original and …
limit. Traditional SC strategies often minimize signal distortion between the original and …
Enhancing Semantic Communication with Deep Generative Models: An Overview
E Grassucci, Y Mitsufuji, P Zhang… - ICASSP 2024-2024 …, 2024 - ieeexplore.ieee.org
Semantic communication is poised to play a pivotal role in shaping the landscape of future
AI-driven communication systems. Its challenge of extracting semantic information from the …
AI-driven communication systems. Its challenge of extracting semantic information from the …
Latency-Aware Generative Semantic Communications with Pre-Trained Diffusion Models
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 …
signals with high perceptual quality using only textual prompts and conditioning signals to …
Large AI model empowered multimodal semantic communications
Multimodal signals, including text, audio, image, and video, can be integrated into semantic
communication (SC) systems to provide an immersive experience with low latency and high …
communication (SC) systems to provide an immersive experience with low latency and high …
A generalized semantic communication system: From sources to channels
Semantic communication is regarded as the breakthrough beyond the Shannon paradigm,
which transmits the semantic information only to improve the communication efficiency …
which transmits the semantic information only to improve the communication efficiency …