Low-Complexity Millimeter Wave CSI Estimation in MIMO-OFDM Hybrid Beamforming Systems
Conference: WSA 2019 - 23rd International ITG Workshop on Smart Antennas
04/24/2019 - 04/26/2019 at Vienna, Austria
Proceedings: ITG-Fb. 286: WSA 2019
Pages: 5Language: englishTyp: PDFPersonal VDE Members are entitled to a 10% discount on this title
Ardah, Khaled; Haardt, Martin (Communications Research Laboratory (CRL), Ilmenau University of Technology, Ilmenau, Germany)
Almeida, Andre L. F. de (Wireless Telecom Research Group (GTEL), Federal University of Ceara, Fortaleza, Brazil)
Channel state information (CSI) estimation in hybrid analog-digital (HAD) millimeter-wave (mmWave) massive MIMO systems is a challenging problem due to the high channel dimension and reduced number of radio-frequency chains. The problem becomes even harder when we consider wideband channels with higher frequency selectivity than the narrowband channels. Fortunately, by exploiting the sparse scattering nature of the mmWave channels and by adopting a simple setup at the transmitter, it was shown that the received signal can be organized into a third-order tensor that admits a Canonical Polyadic decomposition. Therefore, the channel parameters can be simply recovered once the decomposed factor matrices are estimated, e.g., using an alternating least square (ALS) method. However, ALS has a high computational complexity and a slow convergence rate. To resolve this issue, we propose a low-complexity noniterative algorithm to recover the channel parameters without requiring the estimation of the decomposed factor matrices by utilizing a compressed sensing technique and tensor algebra. Simulation results are provided to evaluate the effectiveness of the proposed algorithm.