Reconfigurable intelligent surface (RIS): Eigenvalue Decomposition-Based Separate Channel Estimation

Salah Eddine Zegrar; Liza Afeef; Huseyin Arslan

doi:10.1109/PIMRC50174.2021.9569501

Reconfigurable intelligent surface (RIS): Eigenvalue Decomposition-Based Separate Channel Estimation

Signal Processing 2021-11-04 v2

Authors: Salah Eddine Zegrar , Liza Afeef , Huseyin Arslan

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Abstract

Reconfigurable intelligent surface (RIS) has recently drawn significant attention in wireless communication technologies. However, identifying, modeling, and estimating the RIS channel in multiple-input multiple-output (MIMO) systems are considered challenging in recent studies. In this paper, a disassembled channel estimation framework for the RIS-MIMO system is proposed based on the eigenvalue decomposition (EVD) concept to separate the cascaded channel links and estimate each link separately. This estimation is based on modeling the RIS-MIMO channel as a keyhole MIMO system model. Numerical results show that the proposed estimation method has a low estimation time overhead while providing less estimation error.

Keywords

reconfigurable intelligent surface reconfigurable intelligent surfaces channel estimation

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@article{arxiv.2010.05623,
  title  = {Reconfigurable intelligent surface (RIS): Eigenvalue Decomposition-Based Separate Channel Estimation},
  author = {Salah Eddine Zegrar and Liza Afeef and Huseyin Arslan},
  journal= {arXiv preprint arXiv:2010.05623},
  year   = {2021}
}

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Published in: 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

Reconfigurable intelligent surface (RIS): Eigenvalue Decomposition-Based Separate Channel Estimation

Abstract

Keywords

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