Semantic communications for future internet: Fundamentals, applications, and challenges
With the increasing demand for intelligent services, the sixth-generation (6G) wireless
networks will shift from a traditional architecture that focuses solely on a high transmission …
networks will shift from a traditional architecture that focuses solely on a high transmission …
Machine learning for large-scale optimization in 6g wireless networks
The sixth generation (6G) wireless systems are envisioned to enable the paradigm shift from
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …
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 …
Toward semantic communications: Deep learning-based image semantic coding
Semantic communications has received growing interest since it can remarkably reduce the
amount of data to be transmitted without missing critical information. Most existing works …
amount of data to be transmitted without missing critical information. Most existing works …
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 …
Robust semantic communications with masked VQ-VAE enabled codebook
Although semantic communications have exhibited satisfactory performance on a large
number of tasks, the impact of semantic noise and the robustness of the systems have not …
number of tasks, the impact of semantic noise and the robustness of the systems have not …
DeepWiVe: Deep-learning-aided wireless video transmission
We present DeepWiVe, the first-ever end-to-end joint source-channel coding (JSCC) video
transmission scheme that leverages the power of deep neural networks (DNNs) to directly …
transmission scheme that leverages the power of deep neural networks (DNNs) to directly …
A unified multi-task semantic communication system for multimodal data
Task-oriented semantic communications have achieved significant performance gains.
However, the employed deep neural networks in semantic communications have to be …
However, the employed deep neural networks in semantic communications have to be …
OFDM-guided deep joint source channel coding for wireless multipath fading channels
We investigate joint source channel coding (JSCC) for wireless image transmission over
multipath fading channels. Inspired by recent works on deep learning based JSCC and …
multipath fading channels. Inspired by recent works on deep learning based JSCC and …
Generative joint source-channel coding for semantic image transmission
Recent works have shown that joint source-channel coding (JSCC) schemes using deep
neural networks (DNNs), called DeepJSCC, provide promising results in wireless image …
neural networks (DNNs), called DeepJSCC, provide promising results in wireless image …