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dc.contributor.authorLuo, Hua
dc.contributor.authorZhang, Yue
dc.contributor.authorHuang, Li-Ke
dc.contributor.authorCosmas, John
dc.contributor.authorAggoun, Amar
dc.date.accessioned2017-03-14T09:55:35Z
dc.date.available2017-03-14T09:55:35Z
dc.date.issued2016-09-22
dc.identifier.citationLuo, H., Zhang, Y., Huang, L., Cosmas, J., Aggoun, A. (2017) 'A Closed-Loop Reciprocity Calibration Method for Massive MIMO in Terrestrial Broadcasting Systems', IEEE Transactions on Broadcasting 63 (1) pp. 11-19
dc.identifier.issn0018-9316
dc.identifier.doi10.1109/TBC.2016.2606890
dc.identifier.urihttp://hdl.handle.net/2436/620416
dc.description© 2017 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.description.abstractMassive multi-input multioutput (MIMO) is believed to be an effective technique for future terrestrial broadcasting systems. Reciprocity calibration is one of the major practical challenges for massive MIMO systems operating in time-division duplexing mode. A new closed-loop reciprocity calibration method is investigated in this paper which can support online calibration with a higher accuracy compared to the existing methods. In the first part of the proposed method, an optimized relative calibration is introduced using the same structure of traditional relative calibration, but with less impaired hardware in the reference radio chain. In the second part, a test device (TD)-based calibration is proposed which makes online calibration possible. An experiment setup is built for the measurement of the base station hardware impairments and TD-based calibration implementation. Simulation results and the error vector magnitude of UE received signal after calibration show that the performance of our proposed method is improved significantly compared to the existing relative calibration methods.
dc.language.isoen
dc.publisherIEEE
dc.relation.urlhttp://ieeexplore.ieee.org/document/7574269/
dc.subjectCalibration
dc.subjectMIMO
dc.subjectHardware
dc.subjectRadio frequency
dc.subjectDiscrete cosine transforms
dc.subjectBroadcasting
dc.subjectAntennas
dc.titleA closed-loop reciprocity calibration method for massive MIMO in terrestrial broadcasting systems
dc.typeJournal article
dc.identifier.journalIEEE Transactions on Broadcasting
dc.date.accepted2016-09
rioxxterms.funderUniversity of Wolverhampton
rioxxterms.identifier.projectUoW140317AA
rioxxterms.versionAM
rioxxterms.licenseref.urihttps://creativecommons.org/CC BY-NC-ND 4.0
rioxxterms.licenseref.startdate2018-01-15
dc.source.volume63
dc.source.issue1
dc.source.beginpage11
dc.source.endpage19
refterms.dateFCD2018-07-24T09:47:23Z
refterms.versionFCDAM
refterms.dateFOA2018-01-15T00:00:00Z
html.description.abstractMassive multi-input multioutput (MIMO) is believed to be an effective technique for future terrestrial broadcasting systems. Reciprocity calibration is one of the major practical challenges for massive MIMO systems operating in time-division duplexing mode. A new closed-loop reciprocity calibration method is investigated in this paper which can support online calibration with a higher accuracy compared to the existing methods. In the first part of the proposed method, an optimized relative calibration is introduced using the same structure of traditional relative calibration, but with less impaired hardware in the reference radio chain. In the second part, a test device (TD)-based calibration is proposed which makes online calibration possible. An experiment setup is built for the measurement of the base station hardware impairments and TD-based calibration implementation. Simulation results and the error vector magnitude of UE received signal after calibration show that the performance of our proposed method is improved significantly compared to the existing relative calibration methods.


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