Autoencoder-based Semantic Communication Systems with Relay Channels

TL;DR

This paper introduces AESC, an autoencoder-based semantic communication system for relay channels that enhances noise robustness and semantic forwarding, outperforming traditional methods in stability and performance.

Contribution

The paper presents a novel semantic communication scheme using autoencoders with a new semantic forward mode for relay channels, improving performance without shared knowledge.

Findings

AESC achieves better stability than traditional schemes.

Semantic forward mode significantly improves performance.

Autoencoder provides anti-noise robustness.

Abstract

In this letter, we propose a semantic communication scheme for wireless relay channels based on Autoencoder, named AESC, which encodes and decodes sentences from the semantic dimension. The Autoencoder module provides anti-noise performance for the system. Meanwhile, a novel semantic forward (SF) mode is designed for the relay node to forward the semantic information at the semantic level, especially for the scenarios that there is no common knowledge shared between the source and destination nodes. Numerical results show that the AESC achieves better stability performance than the traditional communication schemes, and the proposed SF mode provides a significant performance gain compared to the traditional forward protocols.