Closed-Form Joint Symbol and Channel Estimation in Hybrid-RIS-aided Communication Systems

Amarilton Lopes Magalhaes, Gilderlan Tavares de Araújo, Fazal-E- Asim, André de Almeida

DOI: 10.14209/sbrt.2024.1571036907

Evento: XLII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2024)

Keywords: RIS HRIS channel estimation tensor modeling

Abstract

In this work, we explore a hybrid reconfigurable intelligent surface in which the metasurface elements can sense a portion of the incoming signal while reflecting the remainder. We consider a single-user multiple-input multiple-output system whose channel between user terminal (UT) and HRIS experiences short-term changes due to UT mobility. Capitalizing on a tensor modeling approach, we propose a closed-form semi-blind receiver for the HRIS controller to estimate channels and symbols jointly without relying solely on training sequences. Simulation results have shown the robustness of our proposed closed-form semi-blind receiver in capturing all variations of the UT-HRIS channels while estimating data.

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