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- Publisher Website: 10.1109/TWC.2016.2594173
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Article: DoA Estimation and Capacity Analysis for 3D Millimeter Wave Massive-MIMO/FD-MIMO OFDM Systems
Title | DoA Estimation and Capacity Analysis for 3D Millimeter Wave Massive-MIMO/FD-MIMO OFDM Systems |
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Authors | |
Keywords | 3D massive MIMO OFDM systems 5G millimeter wave communication parametric channel estimation |
Issue Date | 2016 |
Publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7693 |
Citation | IEEE Transactions on Wireless Communications, 2016, v. 15 n. 10, p. 6963-6978 How to Cite? |
Abstract | With the promise of meeting future capacity demands, 3D massive-MIMO/Full Dimension MIMO (FD-MIMO) systems have gained much interest in recent years. Apart from the huge spectral efficiency gain, 3D massive-MIMO/FD-MIMO systems can also lead to significant reduction of latency, simplified multiple access layer, and robustness to interference. However, in order to completely extract the benefits of the system, accurate channel state information is critical. In this paper, a channel estimation method based on direction of arrival (DoA) estimation is presented for 3D millimeter wave massive-MIMO OFDM systems. To be specific, the DoA is estimated using Estimation of Signal Parameter via Rotational In-variance Technique (ESPRIT) method, and the root mean square error (RMSE) of the DoA estimation is analytically characterized for the corresponding MIMO-OFDM system. An ergodic capacity analysis of the system in the presence of DoA estimation error is also conducted, and an optimum power allocation algorithm is derived. Furthermore, it is shown that the DoA-based channel estimation achieves better performance than traditional linear minimum mean squared error estimation (LMMSE) in terms of ergodic throughput and minimum chordal distance between the subspaces of the downlink precoders obtained from the underlying channel and the estimated channel. |
Persistent Identifier | http://hdl.handle.net/10722/243089 |
ISSN | 2023 Impact Factor: 8.9 2023 SCImago Journal Rankings: 5.371 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Shafin, R | - |
dc.contributor.author | Liu, L | - |
dc.contributor.author | Zhang, J | - |
dc.contributor.author | Wu, YC | - |
dc.date.accessioned | 2017-08-25T02:49:52Z | - |
dc.date.available | 2017-08-25T02:49:52Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | IEEE Transactions on Wireless Communications, 2016, v. 15 n. 10, p. 6963-6978 | - |
dc.identifier.issn | 1536-1276 | - |
dc.identifier.uri | http://hdl.handle.net/10722/243089 | - |
dc.description.abstract | With the promise of meeting future capacity demands, 3D massive-MIMO/Full Dimension MIMO (FD-MIMO) systems have gained much interest in recent years. Apart from the huge spectral efficiency gain, 3D massive-MIMO/FD-MIMO systems can also lead to significant reduction of latency, simplified multiple access layer, and robustness to interference. However, in order to completely extract the benefits of the system, accurate channel state information is critical. In this paper, a channel estimation method based on direction of arrival (DoA) estimation is presented for 3D millimeter wave massive-MIMO OFDM systems. To be specific, the DoA is estimated using Estimation of Signal Parameter via Rotational In-variance Technique (ESPRIT) method, and the root mean square error (RMSE) of the DoA estimation is analytically characterized for the corresponding MIMO-OFDM system. An ergodic capacity analysis of the system in the presence of DoA estimation error is also conducted, and an optimum power allocation algorithm is derived. Furthermore, it is shown that the DoA-based channel estimation achieves better performance than traditional linear minimum mean squared error estimation (LMMSE) in terms of ergodic throughput and minimum chordal distance between the subspaces of the downlink precoders obtained from the underlying channel and the estimated channel. | - |
dc.language | eng | - |
dc.publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7693 | - |
dc.relation.ispartof | IEEE Transactions on Wireless Communications | - |
dc.rights | IEEE Transactions on Wireless Communications. Copyright © IEEE. | - |
dc.rights | ©20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
dc.subject | 3D massive MIMO OFDM systems | - |
dc.subject | 5G | - |
dc.subject | millimeter wave communication | - |
dc.subject | parametric channel estimation | - |
dc.title | DoA Estimation and Capacity Analysis for 3D Millimeter Wave Massive-MIMO/FD-MIMO OFDM Systems | - |
dc.type | Article | - |
dc.identifier.email | Wu, YC: ycwu@eee.hku.hk | - |
dc.identifier.authority | Wu, YC=rp00195 | - |
dc.identifier.doi | 10.1109/TWC.2016.2594173 | - |
dc.identifier.scopus | eid_2-s2.0-84994519164 | - |
dc.identifier.hkuros | 274720 | - |
dc.identifier.volume | 15 | - |
dc.identifier.issue | 10 | - |
dc.identifier.spage | 6963 | - |
dc.identifier.epage | 6978 | - |
dc.identifier.isi | WOS:000386068800033 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 1536-1276 | - |