TY - GEN
T1 - A Low-Complexity Estimation Scheme for Separated Reflecting Channels of RIS-Assisted MIMO Systems towards Extended Coverage
AU - Zhang, Likang
AU - Du, Qinghe
AU - Lu, Lei
AU - Zhang, Shijiao
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Reconfigurable intelligent surface (RIS) technologies can effectively extend the coverage of MIMO systems with improved signal-to-interference-and-noise ratio (SINR). However, the channel estimation of RIS-assisted MIMO systems is very challenging, though crucially important. First, the passive reflective nature of RIS makes it hard to obtain channel state information (CSI) of the transmitter-to-RIS and RIS-to-receiver links, respectively. Second, limited by the number of transmit antennas, reflective elements typically need to be divided into groups, and RIS needs to turn on/off element groups successively to obtain the full CSI, causing extra overhead and difficulty in control. To tackle these problems, we first propose a Two-fold-SVD based Separated Reflecting Channel Estimation (2-SVD-SRCE) scheme, which based on pilot blocks can effectively extract transmitter-to-RIS and RIS-to-receiver links' CSI, respectively. Then, we propose a novel pilot reconstruction design at the transmitter and develop a Pilot Reconstruction based Separated Reflecting Channel Estimation (PR-SRCE) scheme, which can overcome the limitation that the number of reflective elements in each group cannot exceed transmit antennas. Analyses and simulations show that our proposed scheme can significantly simplify the RIS control procedures, while achieving good performances in both complexity and channel estimating accuracy.
AB - Reconfigurable intelligent surface (RIS) technologies can effectively extend the coverage of MIMO systems with improved signal-to-interference-and-noise ratio (SINR). However, the channel estimation of RIS-assisted MIMO systems is very challenging, though crucially important. First, the passive reflective nature of RIS makes it hard to obtain channel state information (CSI) of the transmitter-to-RIS and RIS-to-receiver links, respectively. Second, limited by the number of transmit antennas, reflective elements typically need to be divided into groups, and RIS needs to turn on/off element groups successively to obtain the full CSI, causing extra overhead and difficulty in control. To tackle these problems, we first propose a Two-fold-SVD based Separated Reflecting Channel Estimation (2-SVD-SRCE) scheme, which based on pilot blocks can effectively extract transmitter-to-RIS and RIS-to-receiver links' CSI, respectively. Then, we propose a novel pilot reconstruction design at the transmitter and develop a Pilot Reconstruction based Separated Reflecting Channel Estimation (PR-SRCE) scheme, which can overcome the limitation that the number of reflective elements in each group cannot exceed transmit antennas. Analyses and simulations show that our proposed scheme can significantly simplify the RIS control procedures, while achieving good performances in both complexity and channel estimating accuracy.
KW - RIS-assisted MIMO systems
KW - Reconfigurable intelligent surface (RIS)
KW - Separated reflecting channel estimation
UR - https://www.scopus.com/pages/publications/85181171436
U2 - 10.1109/VTC2023-Fall60731.2023.10333823
DO - 10.1109/VTC2023-Fall60731.2023.10333823
M3 - 会议稿件
AN - SCOPUS:85181171436
T3 - IEEE Vehicular Technology Conference
BT - 2023 IEEE 98th Vehicular Technology Conference, VTC 2023-Fall - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 98th IEEE Vehicular Technology Conference, VTC 2023-Fall
Y2 - 10 October 2023 through 13 October 2023
ER -