Channel estimation and phase-shift optimization for RIS-assisted backscatter communication
QIU Youjing
XU Yongjun
TANG Peng
Abstract：Backscatter communication(BackCom),as a potential key technology for next-generation low-power Internet of Things(IoT)networks,has garnered significant attention due to low-power wireless in-formation and power transfer.The performance enhancement of BackCom is limited by the dual-channel fading effects.To this end,this paper proposes a linear minimum mean square error-based channel estima-tion and phase-shift optimization algorithm.Then,the channel models of both direct links and the casca-ded links are established,where a closed-form estimator is designed by utilizing channel statistical charac-teristics.Meanwhile,the phase shift matrix of RIS is optimized in a low computational complexity way.Simulation results validate the superiority of the proposed scheme in the channel estimation accuracy com-pared to the benchmark schemes.
Keywords：backscatter communicationreconfigurable reflecting surfacechannel estimation
Publication Date：2026-04-25
Online Publishing Date：2026-08-28(First online date of this platform, not the publication date of the document)
Pages：7( 217-223 )