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


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Eddine Zegrar S., Afeef L., Arslan H.

32nd IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2021, Virtual, Helsinki, Finland, 13 - 16 September 2021, vol.2021-September identifier identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 2021-September
  • Doi Number: 10.1109/pimrc50174.2021.9569501
  • City: Virtual, Helsinki
  • Country: Finland
  • Keywords: Keyhole channel, reconfigurable intelligent surface, multiple-input multiple-output, eigenvalue decomposition
  • Istanbul Medipol University Affiliated: Yes

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.