Multi-level Reliability Interface for Semantic Communications over Wireless Networks

• URL: http://arxiv.org/abs/2407.05487v1
• Date: Sun, 7 Jul 2024 20:15:10 GMT
• Title: Multi-level Reliability Interface for Semantic Communications over Wireless Networks
• Authors: Tze-Yang Tung, Homa Esfahanizadeh, Jinfeng Du, Harish Viswanathan,
• Abstract summary: Joint source-channel coding (JSCC) maps source messages directly into channel input symbols. We propose designing the source and channel mappings separately and sequentially via a novel multi-level reliability interface. This work represents an important step towards realizing semantic communications in wireless networks.
• Score: 5.9056146376982
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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 mappings separately and sequentially via a novel multi-level reliability interface. This conceptual interface enables semi-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.

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