In a multi-user system, system resources should be allocated to different users. In traditional
communication systems, system resources generally include time, frequency, space, and …

End-to-end semantic communications (ESC) rely on deep neural networks (DNN) to boost
communication efficiency by only transmitting the semantics of data, showing great potential …

Semantic communications have emerged as a new paradigm for improving communication
efficiency by transmitting the semantic information of a source message that is most relevant …

We propose a novel task-oriented and semantic-aware heterogeneous networks (TOSA-
HetNets) framework for multitype Artificial Intelligence of Things (AIoT) devices with various …

Recent deep learning methods have led to increased interest in solving high-efficiency end-
to-end transmission problems. These methods, we call nonlinear transform source-channel …

Generative artificial intelligence (GAI) has emerged as a rapidly burgeoning field
demonstrating significant potential in creating diverse contents intelligently and …

This paper proposes a new wireless video communication scheme to achieve high-
efficiency video transmission over noisy channels. It exploits the idea of model division …

The emerging field semantic communication is driving the research of end-to-end data
transmission. By utilizing the powerful representation ability of deep learning models …

Semantic communication, through the interpretation of the semantic meaning of transmitted
data, effectively reduces the required bandwidth. However, current deep learning-based …

Goal-oriented communications represent an emerging paradigm for efficient and reliable
learning at the wireless edge, where only the information relevant for the specific learning …