Channel Estimation for Intelligent Reflecting Surface-Assisted Millimeter Wave MIMO Systems
Lin T, Yu X, Zhu Y, Schober R (2020)
Publication Type: Conference contribution
Publication year: 2020
Publisher: Institute of Electrical and Electronics Engineers Inc.
Conference Proceedings Title: 2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings
ISBN: 9781728182988
DOI: 10.1109/GLOBECOM42002.2020.9322519
Abstract
Intelligent reflecting surfaces (IRSs) are regarded as promising enablers for future millimeter wave (mmWave) wireless communication, due to their ability to create favorable line-of-sight (LoS) propagation environments. In this paper, we investigate channel estimation in downlink IRS-assisted mmWave multiple-input multiple-output (MIMO) systems. By leveraging the sparsity of mmWave channels, we formulate the channel estimation problem as a fixed-rank constrained non-convex optimization problem. To tackle the non-convexity, an efficient algorithm is proposed by capitalizing on alternating minimization and manifold optimization (MO), which yields a locally optimal solution. Simulation results show that the proposed MObased estimation (MO-EST) algorithm significantly outperforms two benchmark schemes and demonstrate the robustness of the MO-EST algorithm with respect to imperfect knowledge of the sparsity level of the channels in practical implementations.
Authors with CRIS profile
Xianghao Yu
Professur für Informationsübertragung
Robert Schober
Lehrstuhl für Digitale Übertragung (IDC)
Involved external institutions
China (CN)How to cite
APA:
Lin, T., Yu, X., Zhu, Y., & Schober, R. (2020). Channel Estimation for Intelligent Reflecting Surface-Assisted Millimeter Wave MIMO Systems. In 2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc..
MLA:
Lin, Tian, et al. "Channel Estimation for Intelligent Reflecting Surface-Assisted Millimeter Wave MIMO Systems." Proceedings of the 2020 IEEE Global Communications Conference, GLOBECOM 2020 Institute of Electrical and Electronics Engineers Inc., 2020.
BibTeX: Download