Semantic Importance-Aware Based for Multi-User Communication Over MIMO Fading Channels

TL;DR

This paper introduces a semantic importance-aware communication system for MIMO fading channels, enhancing semantic performance by optimizing symbol mapping, interference cancellation, and a new semantic distortion metric across multiple multi-user scenarios.

Contribution

It proposes a novel semantic importance-aware system with a new metric and interference cancellation tailored for multi-user MIMO fading channels, improving semantic communication performance.

Findings

Significant improvement in semantic performance demonstrated in numerical experiments.

Derived performance expressions and outage probability for various MIMO scenarios.

Introduced a new metric, SID, unifying semantic performance evaluation.

Abstract

Semantic communication, as a novel communication paradigm, has attracted the interest of many scholars, with multi-user, multi-input multi-output (MIMO) scenarios being one of the critical contexts. This paper presents a semantic importance-aware based communication system (SIA-SC) over MIMO Rayleigh fading channels. Combining the semantic symbols' inequality and the equivalent subchannels of MIMO channels based on Singular Value Decomposition (SVD) maximizes the end-to-end semantic performance through the new layer mapping method. For multi-user scenarios, a method of semantic interference cancellation is proposed. Furthermore, a new metric, namely semantic information distortion (SID), is established to unify the expressions of semantic performance, which is affected by channel bandwidth ratio (CBR) and signal-to-noise ratio (SNR). With the help of the proposed metric, we derived performance expressions and Semantic Outage Probability (SOP) of SIA-SC for Single-User Single-Input Single-Output (SU-SISO), Single-User MIMO (SU-MIMO), Multi-Users SISO (MU-MIMO) and Multi-Users MIMO (MU-MIMO) scenarios. Numerical experiments show that SIA-SC can significantly improve semantic performance across various scenarios.