With the rapid advancement and deployment of intelligent agents and artificial general
intelligence (AGI), a fundamental challenge for future networks is enabling efficient …

The advent of the sixth generation of mobile communications (6G) ushers in an era of
heightened demand for advanced network intelligence to tackle the challenges of an …

Semantic communication is expected to be one of the cores of next-generation AI-based
communications. One of the possibilities offered by semantic communication is the capability …

We introduce a vision transformer (ViT)-based deep joint source and channel coding
(DeepJSCC) scheme for wireless image transmission over multiple-input multiple-output …

The recent evolution of generative artificial intelligence (GAI) leads to the emergence of
groundbreaking applications such as ChatGPT, which not only enhances the efficiency of …

As we transition from the 5G epoch, a new horizon beckons with the advent of 6G, seeking a
profound fusion with novel communication paradigms and emerging technological trends …

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

In this paper, we propose a novel joint source-channel coding (JSCC) approach for channel-
adaptive digital semantic communications. In semantic communication systems with digital …

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 …

Semantic-and task-oriented communication has emerged as a promising approach to
reducing the latency and bandwidth requirements of the next-generation mobile networks by …