Pushing artificial intelligence (AI) from central cloud to network edge has reached board
consensus in both industry and academia for materializing the vision of artificial intelligence …

With recent advancements, the wireless local area network (WLAN) or wireless fidelity (Wi-
Fi) technology has been successfully utilized to realize sensing functionalities such as …

To process and transfer large amounts of data in emerging wireless services, it has become
increasingly appealing to exploit distributed data communication and learning. Specifically …

The thriving of artificial intelligence (AI) applications is driving the further evolution of
wireless networks. It has been envisioned that 6G will be transformative and will …

By interacting, synchronizing, and cooperating with its physical counterpart in real time,
digital twin (DT) is promised to promote an intelligent, predictive, and optimized modern city …

Along with the springing up of the semantics-empowered communication (SemCom)
research, it is now witnessing an unprecedentedly growing interest towards a wide range of …

Task-oriented communications, mostly using learning-based joint source-channel coding
(JSCC), aim to design a communication-efficient edge inference system by transmitting task …

A novel semantics-empowered two-user uplink non-orthogonal multiple access (NOMA)
framework is proposed for resource efficiency enhancement. More particularly, a secondary …

We study the collaborative image retrieval problem at the wireless edge, where multiple
edge devices capture images of the same object from different angles and locations, which …

Recently, there has been a growing interest in learning-based semantic communication
because it can prioritize the preservation of meaningful semantic information over the …