Semantic Importance-Aware Based for Multi-User Communication Over MIMO Fading Channels
Haotai Liang, Zhicheng Bao, Wannian An, Chen Dong, Xiaodong Xu

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…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Wireless Signal Modulation Classification · Satellite Communication Systems
