Intellicise wireless networks from semantic communications: A survey, research issues, and challenges

P Zhang, W Xu, Y Liu, X Qin, K Niu… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
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 …

Beyond transmitting bits: Context, semantics, and task-oriented communications

D Gündüz, Z Qin, IE Aguerri, HS Dhillon… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Communication systems to date primarily aim at reliably communicating bit sequences.
Such an approach provides efficient engineering designs that are agnostic to the meanings …

Collaborative intelligence: Challenges and opportunities

IV Bajić, W Lin, Y Tian - ICASSP 2021-2021 IEEE International …, 2021 - ieeexplore.ieee.org
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 …

What is semantic communication? A view on conveying meaning in the era of machine intelligence

Q Lan, D Wen, Z Zhang, Q Zeng, X Chen… - Journal of …, 2021 - ieeexplore.ieee.org
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 …

Wireless deep video semantic transmission

S Wang, J Dai, Z Liang, K Niu, Z Si… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
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 …

Nonlinear transform source-channel coding for semantic communications

J Dai, S Wang, K Tan, Z Si, X Qin… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
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 …

Learning task-oriented communication for edge inference: An information bottleneck approach

J Shao, Y Mao, J Zhang - IEEE Journal on Selected Areas in …, 2021 - ieeexplore.ieee.org
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 …

Wireless image transmission using deep source channel coding with attention modules

J Xu, B Ai, W Chen, A Yang, P Sun… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …

DeepJSCC-f: Deep Joint Source-Channel Coding of Images With Feedback

DB Kurka, D Gündüz - IEEE Journal on Selected Areas in …, 2020 - ieeexplore.ieee.org
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 …

Model-free training of end-to-end communication systems

FA Aoudia, J Hoydis - IEEE Journal on Selected Areas in …, 2019 - ieeexplore.ieee.org
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 …