Intellicise wireless networks from semantic communications: A survey, research issues, and challenges
Information and communication technology (ICT) has been an essential part of modern
society. However, the current communication systems are not sufficient to meet the demands …
society. However, the current communication systems are not sufficient to meet the demands …
Beyond transmitting bits: Context, semantics, and task-oriented communications
Communication systems to date primarily aim at reliably communicating bit sequences.
Such an approach provides efficient engineering designs that are agnostic to the meanings …
Such an approach provides efficient engineering designs that are agnostic to the meanings …
Collaborative intelligence: Challenges and opportunities
This paper presents an overview of the emerging area of collaborative intelligence (CI). Our
goal is to raise awareness in the signal processing community of the challenges and …
goal is to raise awareness in the signal processing community of the challenges and …
What is semantic communication? A view on conveying meaning in the era of machine intelligence
In the 1940s, Claude Shannon developed the information theory focusing on quantifying the
maximum data rate that can be supported by a communication channel. Guided by this …
maximum data rate that can be supported by a communication channel. Guided by this …
Wireless deep video semantic transmission
In this paper, we design a new class of high-efficiency deep joint source-channel coding
methods to achieve end-to-end video transmission over wireless channels. The proposed …
methods to achieve end-to-end video transmission over wireless channels. The proposed …
Nonlinear transform source-channel coding for semantic communications
In this paper, we propose a class of high-efficiency deep joint source-channel coding
methods that can closely adapt to the source distribution under the nonlinear transform, it …
methods that can closely adapt to the source distribution under the nonlinear transform, it …
Learning task-oriented communication for edge inference: An information bottleneck approach
This paper investigates task-oriented communication for edge inference, where a low-end
edge device transmits the extracted feature vector of a local data sample to a powerful edge …
edge device transmits the extracted feature vector of a local data sample to a powerful edge …
Wireless image transmission using deep source channel coding with attention modules
Recent research on joint source channel coding (JSCC) for wireless communications has
achieved great success owing to the employment of deep learning (DL). However, the …
achieved great success owing to the employment of deep learning (DL). However, the …
DeepJSCC-f: Deep Joint Source-Channel Coding of Images With Feedback
We consider wireless transmission of images in the presence of channel output feedback.
From a Shannon theoretic perspective feedback does not improve the asymptotic end-to …
From a Shannon theoretic perspective feedback does not improve the asymptotic end-to …
Model-free training of end-to-end communication systems
The idea of end-to-end learning of communication systems through neural network (NN)-
based autoencoders has the shortcoming that it requires a differentiable channel model. We …
based autoencoders has the shortcoming that it requires a differentiable channel model. We …