.png){kind=icon}
.png){kind=icon}
Return
Multi-Level Reliability Interface for Semantic Communications Over Wireless Networks
.png){kind=icon}
PRE
AI
DOI：10.1109/TCOMM.2025.3535903.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Semantic communication, when examined through the lens of joint source-channel coding (JSCC), maps source messages directly into channel input symbols, where the measure of success is defined by end-to-end distortion rather than traditional metrics such as block error rate. Previous studies have shown significant improvements achieved through deep learning (DL)-driven JSCC compared to traditional separate source and channel coding. However, JSCC is impractical in existing communication networks, where application and network providers are typically different entities connected over general-purpose TCP/IP links. In this paper, we propose designing the source and channel codes separately and sequentially via a novel multi-level reliability interface. This conceptual interface enables JSCC at both the learned source and channel mappers and achieves many of the gains observed in existing DL-based JSCC work (which would require a fully joint design between the application and the network), such as lower end-to-end distortion and graceful degradation of distortion with channel quality. We believe this work represents an important step towards realizing semantic communications in wireless networks.
Keywords:
Semantic communications
joint source-channel coding
wireless networks
Journal
IF:
8.3
Papers:
1.2W
Citations:
3.6W