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Channel Estimation for Massive MIMO-OFDM Systems by Tracking the Joint Angle-Delay Subspace

Zhang, Yu, Wang, Dongming, Wang, Jiangzhou, You, Xiaohu (2016) Channel Estimation for Massive MIMO-OFDM Systems by Tracking the Joint Angle-Delay Subspace. IEEE Access, 4 . pp. 10166-10179. E-ISSN 2169-3536. (doi:10.1109/ACCESS.2016.2634025) (KAR id:59632)


In this paper, we propose joint angle-delay subspace based channel estimation in single cell for broadband massive multiple-input and multiple-output (MIMO) systems employing orthogonal frequency division multiplexing (OFDM) modulation. Based on a parametric channel model, we present a new concept of the joint angle-delay subspace which can be tracked by the low-complexity low-rank adaptive filtering (LORAF) algorithm. Then, we investigate an interference-free transmission condition that the joint angle-delay subspaces of the users reusing the same pilots are non-overlapping. Since the channel statistics are usually unknown, we develop a robust minimum mean square error (MMSE) estimator under the worst precondition of pilot decontamination, considering that the joint angle-delay subspaces of the interfering users fully overlap. Furthermore, motivated by the interference-free transmission criteria, we present a novel low-complexity greedy pilot scheduling algorithm to avoid the problem of initial value sensitivity. Simulation results show that the joint angle-delay subspace can be estimated effectively, and the proposed pilot reuse scheme combined with robust MMSE channel estimation offers significant performance gains.

Item Type: Article
DOI/Identification number: 10.1109/ACCESS.2016.2634025
Subjects: T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Tina Thompson
Date Deposited: 12 Dec 2016 10:44 UTC
Last Modified: 16 Feb 2021 13:40 UTC
Resource URI: (The current URI for this page, for reference purposes)

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