Semantic communication is a newly emerged communication paradigm that exploits deep
learning (DL) models to realize communication processes like source coding and channel …

Semantic communication has served as a novel paradigm and attracted a broad interest
from researchers. One critical aspect of it is the multi-user semantic communication theory …

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 …

Recently, the ever-increasing demand for bandwidth in multi-modal communication systems
requires a paradigm shift. Powered by deep learning, semantic communications are applied …

We consider distributed image transmission over a noisy multiple access channel (MAC)
using deep joint source-channel coding (DeepJSCC). It is known that Shannon's separation …

We consider the image transmission problem over a noisy wireless channel via deep
learning-based joint source-channel coding (DeepJSCC) along with a denoising diffusion …

Point cloud, as a 3D representation, is widely used in autonomous driving, virtual reality
(VR), and augmented reality (AR). However, traditional communication systems think that …

Semantic communication systems have been proposed for efficient text transmissions in
recent years. However, most existing methods mainly focus on word-level recovery, which …

To improve the information transmission ability of point-to-point optical fiber communication
systems, we propose and experimentally demonstrate an optical fiber communication …

Abstract Bluetooth Low Energy (BLE) has emerged as one of the reference technologies for
the development of indoor localization systems, due to its increasing ubiquity, low-cost …