A Novel RIS-Aided Optimization Strategy for Semantic Communication System

Xuejie Hu, Yue Tian, Qinying Li, Yau Hee Kho, Xianling Wang, Baiyun Xiao, Zheng Yang, Wenda Li

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Reconfigurable intelligent surfaces (RISs) are programmable metasurfaces capable of optimizing signal strength and reducing interference, serving as key components in maintaining the integrity of semantic information during transmission. This study explores the establishment of additional semantic transmission and reflection pathways by deploying RISs in different cells. An optimization strategy, maximizing mutual information (MI) for quality of experience (QoE)-aware modeling of the R-SC system (QR-SC), is proposed to enhance both semantic and communication performance. Additionally, a QoE-aware model is utilized for users to gauge semantic transmission performance. Experimental results indicate that QR-SC can elevate the performance of semantic communication while ensuring reliable transmission, highlighting the substantial potential of RIS in digital and energy simultaneous transmission.

Original languageEnglish
Pages (from-to)1655-1659
Number of pages5
JournalIEEE Wireless Communications Letters
Issue number6
Early online date8 Apr 2024
Publication statusPublished - Jun 2024


  • Communication systems
  • Entropy
  • Information processing
  • Optimization
  • optimization strategy
  • quality-of-experience
  • reconfigurable intelligent surfaces
  • semantic communication
  • Semantics
  • Vectors
  • White noise

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering


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