Minimal mean-square error for 3D MIMO beamforming weighting

2.50
Hdl Handle:
http://hdl.handle.net/10547/622037
Title:
Minimal mean-square error for 3D MIMO beamforming weighting
Authors:
Xu, C.; Cosmas, John ( 0000-0003-4378-5576 ) ; Zhang, Yue ( 0000-0003-0017-1398 )
Abstract:
The 3D MIMO beamforming system needs a weighting method to determine the direction of beam whist reducing the interference for other beam areas operating at the same carrier frequency. The challenge is to determine the weights of the 3D MIMO beams to direct each beam towards its cluster of user terminals while placing its nulls at undesired user directions to minimise undesired interference. Therefore, the signal-to-interference-plus-noise ratio should be increased while the interference from the side lobes of the other beams reduced. A weight determining method is presented that constructs horizontal and vertical array weights, respectively, by minimising the mean-square error between the array pattern vector and the unit vector, where the unit vector expresses the desired direction for the array pattern and zero vector expresses the undesired direction. Since the rectangular planar array can be viewed as M linear arrays of N elements, the weight of the M–Nth element can be obtained based on the horizontal and vertical array weights.
Affiliation:
Brunel University; University of Bedfordshire
Citation:
Xu C, Cosmas J, Zhang Y (2016) 'Minimal mean-square error for 3D MIMO beamforming weighting', Electronics Letters, 52 (24), pp.2019-2021.
Publisher:
Institution of Engineering and Technology
Journal:
Electronics Letters
Issue Date:
24-Nov-2016
URI:
http://hdl.handle.net/10547/622037
DOI:
10.1049/el.2016.3480
Additional Links:
http://ieeexplore.ieee.org/document/7756027/
Type:
Article
Language:
en
ISSN:
0013-5194
Appears in Collections:
Engineering

Full metadata record

DC FieldValue Language
dc.contributor.authorXu, C.en
dc.contributor.authorCosmas, Johnen
dc.contributor.authorZhang, Yueen
dc.date.accessioned2017-02-28T10:18:32Z-
dc.date.available2017-02-28T10:18:32Z-
dc.date.issued2016-11-24-
dc.identifier.citationXu C, Cosmas J, Zhang Y (2016) 'Minimal mean-square error for 3D MIMO beamforming weighting', Electronics Letters, 52 (24), pp.2019-2021.en
dc.identifier.issn0013-5194-
dc.identifier.doi10.1049/el.2016.3480-
dc.identifier.urihttp://hdl.handle.net/10547/622037-
dc.description.abstractThe 3D MIMO beamforming system needs a weighting method to determine the direction of beam whist reducing the interference for other beam areas operating at the same carrier frequency. The challenge is to determine the weights of the 3D MIMO beams to direct each beam towards its cluster of user terminals while placing its nulls at undesired user directions to minimise undesired interference. Therefore, the signal-to-interference-plus-noise ratio should be increased while the interference from the side lobes of the other beams reduced. A weight determining method is presented that constructs horizontal and vertical array weights, respectively, by minimising the mean-square error between the array pattern vector and the unit vector, where the unit vector expresses the desired direction for the array pattern and zero vector expresses the undesired direction. Since the rectangular planar array can be viewed as M linear arrays of N elements, the weight of the M–Nth element can be obtained based on the horizontal and vertical array weights.en
dc.language.isoenen
dc.publisherInstitution of Engineering and Technologyen
dc.relation.urlhttp://ieeexplore.ieee.org/document/7756027/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.subjectbeamformingen
dc.subjectmean square error methodsen
dc.subjectinterference suppressionen
dc.subjectMIMO communicationen
dc.subject5G mobile communicationen
dc.subjectradiofrequency interferenceen
dc.subjectarray signal processingen
dc.subjectmassive multi-input multioutputen
dc.titleMinimal mean-square error for 3D MIMO beamforming weightingen
dc.typeArticleen
dc.contributor.departmentBrunel Universityen
dc.contributor.departmentUniversity of Bedfordshireen
dc.identifier.journalElectronics Lettersen
dc.date.updated2017-02-28T10:07:28Z-
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