Transmitter

Quantum mechanics

Algorithm

Scheme (mathematics)

Engineering

MIMO

Materials science

Eigenvalues and eigenvectors

Telecommunications

Computer science

Matrix (chemical analysis)

Physics

Mathematics

Electronic engineering

Mathematical analysis

Composite material

Channel (broadcasting)

Matrix decomposition

IEEE Wireless Communications Letters

In this letter, we consider the problem of channel estimation for large intelligent metasurface (LIM) assisted massive multiple-input multiple-output (MIMO) systems. The main challenge of this problem is that the LIM integrated with a large number of low-cost metamaterial antennas can only passively reflect the incident signals by certain phase shifts, and does not have any signal processing capability. To deal with this, we introduce a general framework for the estimation of the transmitter-LIM and LIM-receiver cascaded channel, and propose a two-stage algorithm that includes a sparse matrix factorization stage and a matrix completion stage. Simulation results illustrate that the proposed method can achieve accurate channel estimation for LIM-assisted massive MIMO systems.

Cascaded Channel Estimation for Large Intelligent Metasurface Assisted Massive MIMO