.png){kind=icon}
.png){kind=icon}
Return
Separate Channel Estimation With Hybrid RIS-Aided Multi-User Communications
.png){kind=icon}
PRE
AI
DOI：10.1109/TVT.2022.3205370.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
As a solution to the thorny problem of the acquisition of separate channels with the presence of the passive reconfigurable intelligent surface (RIS), the hybrid RIS architecture with several radio frequency (RF) chains is gaining popularity. In this motif, we offer a unique once-sounding estimation technique with a single RF chain-based RIS, which reduces pilot overhead in comparison to the existing twice-sounding method. In its wake, we exploit the multi-user channel characteristic to construct a measurements-augmentation-based compressive sensing (CS) framework to enhance the channel estimation performance between the base station and RIS. To boost the algorithm's practical applicability, we build a two-stage CS mechanism with the multiple measurement vector (MMV) attribute to lower the computational complexity. In addition, the hybrid RIS architecture is extended to the two-timescale estimation technique for pilot minimization. Finally, simulation results demonstrate the superiority of our proposed schemes in terms of estimation performance, pilot overhead, and computational complexity.
Keywords:
Channel estimation
Estimation
Radio frequency
Multiuser channels
Costs
Computational complexity
Sparse matrices
compressive sensing
hybrid reconfi-gurable intelligent surface
multi-user channel characteristic
Journal
IF:
7.1
Papers:
1.8W
Citations:
6.6W