Abstract
In this paper, an adaptive channel estimation and tracking method is proposed for the uniform rectangular array (URA) based massive multiple-input and multiple-output (M-MIMO) systems. To decrease the computational complexity while tracking the change on the channel state information (CSI) in time, a principal subspace analysis (PSA) based scheme is proposed to estimate and track the signal subspace based on the received signal covariance matrix. Based on the estimated signal subspace, the channel parameters including the direction of arrival (DoA) angle and the channel gain corresponding to each resolvable path of the channel, can be recovered via the classic multiple signal classification (MUSIC) algorithm. Then, the Cramer-Rao lower bound (CRLB) is derived to evaluate the performance of the proposed scheme. Simulation results are provided to verify the accuracy of the proposed scheme on the channel estimation.
Highlights
As one of the most important techniques to fulfill the future high data rate requirements in 5G and beyond 5G systems, massive MIMO (M-MIMO) has been investigated extensively for decades [1]
With perfect channel state information (CSI) on the downlink transmission, the channel capacity of the M-MIMO systems will be improved with the increase of antenna elements [6], and for both hybrid structure and full digital structure, the accurate CSI is the necessary condition to guarantee the high spectrum efficiency (SE)
Many works have studied how to avoid or minimize the effect of pilot contamination while reducing the computational complexity of the channel estimation for M-MIMO systems, most of them are one-time estimation schemes, which can not track the change on the CSI
Summary
As one of the most important techniques to fulfill the future high data rate requirements in 5G and beyond 5G systems, massive MIMO (M-MIMO) has been investigated extensively for decades [1]. The received signals at the antennas are highly correlated Based on this attribute, array signal processing technique has been applied to estimate the channel parameters [17], which include direction of arrival (DoA) angles and path gains on the resolvable paths from the UTs to the BS. Many works have studied how to avoid or minimize the effect of pilot contamination while reducing the computational complexity of the channel estimation for M-MIMO systems, most of them are one-time estimation schemes, which can not track the change on the CSI. A novel adaptive channel estimation and tracking scheme is developed for M-MIMO systems with URA antennas which has high accuracy and low complexity in this paper.
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