Channel Estimation for RIS-Aided Multiuser Millimeter-Wave Systems

Reconfigurable intelligent surface (RIS) is a promising device that can reconfigure the electromagnetic propagation environment through adjustment of the phase shifts of its reflecting elements. However, channel estimation in RIS-aided multiuser multiple-input single-output (MU-MISO) wireless communication systems is challenging due to the passive nature of the RIS and the large number of reflecting elements that can lead to high channel estimation overhead. To address this issue, we propose a novel cascaded channel estimation strategy with low pilot overhead by exploiting the sparsity and the correlation of multiuser cascaded channels in millimeter-wave MISO systems. Based on the fact that the physical…

• NS
  National Science Foundation

  Awards: ECCS-2030029, CNS-2107182
• NS
  Natural Science Foundation of Shanghai

  Award: 22ZR1445600
• NN
  National Natural Science Foundation of China

  Award: 62101128