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

Creative Commons License

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


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.