Paper Info
Title
Low-Rank Channel Estimation For Mm-Wave Multiple Antenna Systems Using Joint Spatio-Temporal Covariance Matrix
Abstract
Millimeter-Wave (mm-Wave) and very large multiple antenna systems (VLMAS) are two key technologies in the deployment of Fifth Generation (5G) mobile communication systems. In order to exploit all the benefits of VLMAS, spatial and temporal (ST) features must be estimated and exploited to compute the precoding/decoding matrices. In the literature, a practical channel estimation approach is proposed by assuming that the spatial features are completely unknown, leading to non parametric estimation in which antenna array calibration is not required. Additionally, when the signal-to-noise ratio (SNR) is not so high, a low-rank (LR) version of the estimated channel is proposed that provides better performance than the full-rank (FR) one in terms of bias-variance trade-off in the mean squared error (MSE). However, previous work assumes that spatial and temporal characteristics of the channel can he estimated separately. Then, the performance is degraded in realistic channels. In this paper, we propose an alternative way to characterize the FR estimated channel using a joint ST covariance matrix, combined with a low-complexity semi-parametric spatial response and delay estimation technique. Moreover, we propose an automatic rank selector (ARS) based on the MSE in order to provide the best. LR channel estimation for each scenario. Numerical results show that the proposed technique outperforms existing approaches in the literature.
Year
DOI
Venue
2019
10.1109/ICCW.2019.8757027
2019 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS)
DocType
ISSN
Citations 
Conference
2164-7038
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Kun Chen Hu102.03
Dirk Slock2237.98
A. G. Armada36913.61