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dc.contributor.authorLuo, Huaen
dc.contributor.authorZhang, Yueen
dc.contributor.authorHuan, Li-Keen
dc.contributor.authorCosmas, Johnen
dc.contributor.authorAggoun, Amaren
dc.date.accessioned2017-02-28T10:18:39Z
dc.date.available2017-02-28T10:18:39Z
dc.date.issued2016-09-22
dc.identifier.citationLuo H, Zhang Y, Huan LK, Cosmas J, Aggoun A (2016) 'A closed-loop reciprocity calibration method for massive MIMO in terrestrial broadcasting systems', IEEE Transactions on Broadcasting, PP (99), pp.11-19.en
dc.identifier.issn0018-9316
dc.identifier.doi10.1109/TBC.2016.2606890
dc.identifier.urihttp://hdl.handle.net/10547/622038
dc.description(c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works.en
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.isoenen
dc.publisherIEEEen
dc.relation.urlhttp://ieeexplore.ieee.org/document/7574269/en
dc.rightsGreen - can archive pre-print and post-print or publisher's version/PDF
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectcalibrationen
dc.subjectMIMO communicationen
dc.subjectmassive multi-input multioutputen
dc.subjectbroadcastingen
dc.subjecthardware impairmentsen
dc.subjectterrestrial broadcastingen
dc.subjectDVBen
dc.subjectmassive MIMOen
dc.subjectreciprocity calibrationen
dc.titleA closed-loop reciprocity calibration method for massive MIMO in terrestrial broadcasting systemsen
dc.typeArticleen
dc.contributor.departmentUniversity of Bedfordshireen
dc.contributor.departmentBrunel Universityen
dc.contributor.departmentCobham Wirelessen
dc.identifier.journalIEEE Transactions on Broadcastingen
dc.date.updated2017-02-28T10:07:27Z
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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