This paper compares the signal-to-noise ratio (SNR) performance between ...
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...
Semantic communications are expected to accomplish various semantic task...
Most semantic communication systems leverage deep learning models to pro...
Moving beyond just interconnected devices, the increasing interplay betw...
Classical communication paradigms focus on accurately transmitting bits ...
In this paper, we design a new class of high-efficiency deep joint
sourc...
Federated learning (FL) over mobile devices has fostered numerous intrig...
We investigate the coexistence of task-oriented and data-oriented
commun...
Federated learning (FL) has been recognized as a promising distributed
l...
This paper studies the joint device selection and power control scheme f...
Intelligent edge network is maturing to enable smart and efficient
trans...
The last seventy years have witnessed the transition of communication fr...
In this paper, we propose a new class of high-efficient deep joint
sourc...
Classical coded transmission schemes, which rely on probabilistic models...
To support emerging real-time monitoring and control applications, the
t...
Grant-free transmission is considered as a promising technology to suppo...