In this paper, we propose a pre-configured error pattern ordered statist...
Driven by the vision of "intelligent connection of everything" toward 6G...
Recent advances in deep learning have led to increased interest in solvi...
Recent deep learning methods have led to increased interest in solving
h...
After the pursuit of seventy years, the invention of polar codes indicat...
We propose a novel neural waveform compression method to catalyze emergi...
Most semantic communication systems leverage deep learning models to pro...
In this paper, we propose a new class of high-efficiency semantic coded
...
In this paper, we aim to redesign the vision Transformer (ViT) as a new
...
Semantic communications have shown great potential to boost the end-to-e...
Classical communication paradigms focus on accurately transmitting bits ...
In this paper, we design a new class of high-efficiency deep joint
sourc...
As one novel approach to realize end-to-end wireless image semantic
tran...
Most existing works of polar codes focus on the analysis of block error
...
The last seventy years have witnessed the transition of communication fr...
We study the problem of deep joint source-channel coding (D-JSCC) for
co...
As a new joint source-channel coding scheme, the double polar (D-Polar) ...
In this paper, we propose a new class of high-efficient deep joint
sourc...
Classical coded transmission schemes, which rely on probabilistic models...
With the standardization and deployment of 5G, the focus has now shifted...
We propose a unitary precoding scheme, namely polar-precoding, to improv...
The recent development of deep learning methods provides a new approach ...
In this letter, we propose a progressive rate-filling method as a framew...
In this paper, the minimum weight distributions (MWDs) of polar codes an...
In this paper, we design a new polar slotted ALOHA (PSA) protocol over t...
Polar code, with explicit construction and recursive structure, is the l...
In this letter, we explore the performance limits of short polar codes a...