Versatile Semantic Coded Transmission over MIMO Fading Channels

TL;DR

This paper introduces a versatile semantic coded transmission scheme for MIMO fading channels that enhances throughput and adapts to various rates by jointly optimizing semantic features and channel states.

Contribution

A novel semantic coded transmission system supporting multiple streams and adaptive rate allocation, improving efficiency and throughput over MIMO fading channels.

Findings

Significantly increases system throughput.

Outperforms traditional MIMO systems under fading conditions.

Supports various transmission rates with a single model.

Abstract

Semantic communications have shown great potential to boost the end-to-end transmission performance. To further improve the system efficiency, in this paper, we propose a class of novel semantic coded transmission (SCT) schemes over multiple-input multiple-output (MIMO) fading channels. In particular, we propose a high-efficiency SCT system supporting concurrent transmission of multiple streams, which can maximize the multiplexing gain of end-to-end semantic communication system. By jointly considering the entropy distribution on the source semantic features and the wireless MIMO channel states, we design a spatial multiplexing mechanism to realize adaptive coding rate allocation and stream mapping. As a result, source content and channel environment will be seamlessly coupled, which maximizes the coding gain of SCT system. Moreover, our SCT system is versatile: a single model can support various transmission rates. The whole model is optimized under the constraint of transmission rate-distortion (RD) tradeoff. Experimental results verify that our scheme substantially increases the throughput of semantic communication system. It also outperforms traditional MIMO communication systems under realistic fading channels.