Intellicise wireless networks from semantic communications: A survey, research issues, and challenges
Information and communication technology (ICT) has been an essential part of modern
society. However, the current communication systems are not sufficient to meet the demands …
society. However, the current communication systems are not sufficient to meet the demands …
Semantic knowledge base-enabled zero-shot multi-level feature transmission optimization
Remote zero-shot object recognition, which involves offloading the zero-shot recognition
task from one mobile device to a remote mobile edge computing (MEC) server or another …
task from one mobile device to a remote mobile edge computing (MEC) server or another …
Task-oriented and semantic-aware heterogeneous networks for artificial intelligence of things: Performance analysis and optimization
We propose a novel task-oriented and semantic-aware heterogeneous networks (TOSA-
HetNets) framework for multitype Artificial Intelligence of Things (AIoT) devices with various …
HetNets) framework for multitype Artificial Intelligence of Things (AIoT) devices with various …
Latent semantic diffusion-based channel adaptive de-noising semcom for future 6g systems
Compared with the current Shannon's Classical Information Theory (CIT) paradigm,
semantic communication (SemCom) has recently attracted more attention, since it aims to …
semantic communication (SemCom) has recently attracted more attention, since it aims to …
The joint knowledge reasoning model based on knowledge representation learning for aviation assembly domain
PF Liu, L Qian, H Lu, L Xue, XW Zhao, B Tao - Science China …, 2024 - Springer
Abstract Knowledge graph technology is widely applied in the domain of general knowledge
reasoning with an excellent performance. For fine-grained professional fields, professional …
reasoning with an excellent performance. For fine-grained professional fields, professional …
Learning-based edge-device collaborative dnn inference in iovt networks
Deep neural network (DNN) is a promising technology for Internet of Visual Things (IoVT)
devices to extrct their visual information from unstructured data. However, it is hard to deploy …
devices to extrct their visual information from unstructured data. However, it is hard to deploy …
Two-way semantic communications without feedback
Semantic communications can significantly improve transmission efficiency, especially in the
low signal-to-noise (SNR) regime. However, two-way semantic communications still remain …
low signal-to-noise (SNR) regime. However, two-way semantic communications still remain …
Generative Semantic Communication for Joint Image Transmission and Segmentation
Semantic communication has emerged as a promising technology for enhancing
communication efficiency. However, most existing research emphasizes single-task …
communication efficiency. However, most existing research emphasizes single-task …
Intellicise model transmission for semantic communication in intelligence-native 6G networks
To facilitate emerging applications and demands of edge intelligence (EI)-empowered 6G
networks, model-driven semantic communications have been proposed to reduce …
networks, model-driven semantic communications have been proposed to reduce …
Cache-enabled knowledge base construction strategy in semantic communications
With the increasing demand for intelligence in wireless networks, semantic communication
is considered as a enabling technology to achieve goal-oriented communication. Deploying …
is considered as a enabling technology to achieve goal-oriented communication. Deploying …