Abstract
Lens-based millimeter-wave massive MIMO technologies could reduce the number of required radio frequency chains at the base station without a loss of performance, but require the beamspace channel information, which is often costly to obtain. In this paper, a low-complexity scheme to estimate the channel for lens-based 3D millimeter wave massive MIMO systems is proposed. Beamspace analysis shows that the main entries of the channel matrix form a dual crossing (DC) shape. Existing DC-based channel estimation algorithms have a very high computational complexity. The proposed algorithm eliminates the process of repeatedly selecting the main row and column that is required in existing algorithms, and provides a solution even when certain entries exceed the matrix boundary. It thus has a much lower computational complexity than existing algorithms. Additionally it achieves a smaller normalized mean-squared error of the channel estimates than existing DC-based algorithms.
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