Channel Estimation for Massive MIMO-OFDM Systems by Tracking the Joint Angle-Delay Subspace
In this paper, we propose joint angle-delay subspace based-channel estimation in single cell for broadband massive multiple-input and multiple-output systems employing orthogonal frequency division multiplexing modulation. Based on a parametric channel model, we present a new concept of the joint an...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2016-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/7762734/ |
| _version_ | 1818618899899351040 |
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| author | Yu Zhang Dongming Wang Jiangzhou Wang Xiaohu You |
| author_facet | Yu Zhang Dongming Wang Jiangzhou Wang Xiaohu You |
| author_sort | Yu Zhang |
| collection | DOAJ |
| description | In this paper, we propose joint angle-delay subspace based-channel estimation in single cell for broadband massive multiple-input and multiple-output systems employing orthogonal frequency division multiplexing 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 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. |
| first_indexed | 2024-12-16T17:28:56Z |
| format | Article |
| id | doaj.art-1566da952aa149c192291a15985aca02 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T17:28:56Z |
| publishDate | 2016-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-1566da952aa149c192291a15985aca022022-12-21T22:22:59ZengIEEEIEEE Access2169-35362016-01-014101661017910.1109/ACCESS.2016.26340257762734Channel Estimation for Massive MIMO-OFDM Systems by Tracking the Joint Angle-Delay SubspaceYu Zhang0https://orcid.org/0000-0001-8364-7878Dongming Wang1https://orcid.org/0000-0001-8364-7878Jiangzhou Wang2https://orcid.org/0000-0001-8364-7878Xiaohu You3National Mobile Communications Research Laboratory, Southeast University, Nanjing, ChinaNational Mobile Communications Research Laboratory, Southeast University, Nanjing, ChinaSchool of Engineering and Digital Arts, University of Kent, Canterbury, U.K.National Mobile Communications Research Laboratory, Southeast University, Nanjing, ChinaIn this paper, we propose joint angle-delay subspace based-channel estimation in single cell for broadband massive multiple-input and multiple-output systems employing orthogonal frequency division multiplexing 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 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.https://ieeexplore.ieee.org/document/7762734/Joint angle-delay subspacemassive MIMO-OFDMpilot decontaminationpilot schedulingrobust channel estimation |
| spellingShingle | Yu Zhang Dongming Wang Jiangzhou Wang Xiaohu You Channel Estimation for Massive MIMO-OFDM Systems by Tracking the Joint Angle-Delay Subspace IEEE Access Joint angle-delay subspace massive MIMO-OFDM pilot decontamination pilot scheduling robust channel estimation |
| title | Channel Estimation for Massive MIMO-OFDM Systems by Tracking the Joint Angle-Delay Subspace |
| title_full | Channel Estimation for Massive MIMO-OFDM Systems by Tracking the Joint Angle-Delay Subspace |
| title_fullStr | Channel Estimation for Massive MIMO-OFDM Systems by Tracking the Joint Angle-Delay Subspace |
| title_full_unstemmed | Channel Estimation for Massive MIMO-OFDM Systems by Tracking the Joint Angle-Delay Subspace |
| title_short | Channel Estimation for Massive MIMO-OFDM Systems by Tracking the Joint Angle-Delay Subspace |
| title_sort | channel estimation for massive mimo ofdm systems by tracking the joint angle delay subspace |
| topic | Joint angle-delay subspace massive MIMO-OFDM pilot decontamination pilot scheduling robust channel estimation |
| url | https://ieeexplore.ieee.org/document/7762734/ |
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