Channel Estimation for Reconfigurable Intelligent Surface Aided Multi-User mmWave MIMO Systems

Channel acquisition is one of the main challenges for the deployment of reconfigurable intelligent surface (RIS) aided communication systems. This is because an RIS has a large number of reflective elements, which are passive devices with no active transmitting/receiving abilities. In this paper, we study the channel estimation problem for the RIS aided multi-user millimeter-wave (mmWave) multi-input multi-output (MIMO) system. Specifically, we propose a novel channel estimation protocol for the above system to estimate the cascaded channels, which are the products of the channels from the base station (BS) to the RIS and from the RIS to the users. Further, since the cascaded channels are typically sparse,…

• NN
  National Natural Science Foundation of China

  Award: U1801261
• AU
  Aarhus Universitets Forskningsfond

  Award: AUFF 39001
• NS
  Natural Sciences and Engineering Research Council of Canada
• NK
  National Key Research and Development Program of China

  Award: 2018YFB1801105
• P2
  Project 211

  Award: B20064