Broadband Channel Estimation for Intelligent Reflecting Surface Aided mmWave Massive MIMO Systems
Type
Conference PaperKAUST Department
Communication Theory LabComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Date
2020Online Publication Date
2020-07-27Print Publication Date
2020-06Permanent link to this record
http://hdl.handle.net/10754/664500
Metadata
Show full item recordAbstract
This paper investigates the broadband channel estimation (CE) for intelligent reflecting surface (IRS)-aided millimeter-wave (mmWave) massive MIMO systems. The CE for such systems is a challenging task due to the large dimension of both the active massive MIMO at the base station (BS) and passive IRS. To address this problem, this paper proposes a compressive sensing (CS)-based CE solution for IRS-aided mmWave massive MIMO systems, whereby the angular channel sparsity of large-scale array at mmWave is exploited for improved CE with reduced pilot overhead. Specifically, we first propose a downlink pilot transmission framework. By designing the pilot signals based on the prior knowledge that the line-of-sight dominated BS-to-IRS channel is known, the high-dimensional channels for BS-to-user and IRS-to-user can be jointly estimated based on CS theory. Moreover, to efficiently estimate broadband channels, a distributed orthogonal matching pursuit algorithm is exploited, where the common sparsity shared by the channels at different subcarriers is utilized. Additionally, the redundant dictionary to combat the power leakage is also designed for the enhanced CE performance. Simulation results demonstrate the effectiveness of the proposed scheme.Citation
Wan, Z., Gao, Z., & Alouini, M.-S. (2020). Broadband Channel Estimation for Intelligent Reflecting Surface Aided mmWave Massive MIMO Systems. ICC 2020 - 2020 IEEE International Conference on Communications (ICC). doi:10.1109/icc40277.2020.9149146Publisher
IEEEConference/Event name
ICC 2020 - 2020 IEEE International Conference on Communications (ICC)ISBN
978-1-7281-5090-1arXiv
2002.01629Additional Links
https://ieeexplore.ieee.org/document/9149146/https://ieeexplore.ieee.org/document/9149146/
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9149146
http://arxiv.org/pdf/2002.01629
ae974a485f413a2113503eed53cd6c53
10.1109/ICC40277.2020.9149146