Vehicle count prediction is an important aspect of smart city traffic management. Most major
roads are monitored by cameras with computing and transmitting capabilities. These …

Vehicle count prediction is an important aspect of smart city traffic management. Most major
roads are monitored by cameras with computing and transmitting capabilities. These …

Machine Learning (ML) has been instrumental in enabling joint transceiver optimization by
merging all physical layer blocks of the end-to-end wireless communication systems …

In this work, we study the problem of semantic communication and inference, in which a
student agent (ie mobile device) queries a teacher agent (ie cloud sever) to generate higher …

This paper investigates robust semantic communications over multiple-input multiple-output
(MIMO) fading channels. Current semantic communications over MIMO channels mainly …

Lightweight and efficient deep joint source-channel coding (JSCC) is a key technology for
semantic communications. In this paper, we design a novel JSCC scheme named …

Mobile communications networks are faced with gigantic challenges in meeting diversified
service requirements. A tight coordination, or even convergence, of applications and mobile …

In this paper, we propose an adaptive panoramic video semantic transmission (APVST)
network built on the deep joint source-channel coding (Deep JSCC) structure for the efficient …

This paper is concerned with the wireless video surveillance systems, which were widely
deployed and now augmented by edge computing. Armed with the edge computing, on …

In recent years, there has been significant progress in semantic communication systems
empowered by deep learning techniques. It has greatly improved the efficiency of …