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dc.contributor.author
Deng, Junquan
dc.contributor.author
Tirkkonen, Olav
dc.contributor.author
Studer, Christoph
dc.date.accessioned
2021-01-08T07:21:53Z
dc.date.available
2021-01-07T16:27:28Z
dc.date.available
2021-01-08T07:21:53Z
dc.date.issued
2018-04
dc.identifier.isbn
978-1-5386-1734-2
en_US
dc.identifier.other
10.1109/WCNC.2018.8377093
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/460347
dc.identifier.doi
10.3929/ethz-b-000460347
dc.description.abstract
To perform multi-user multiple-input and multiple-output transmission in millimeter-wave (mmWave) cellular systems, the high-dimensional channels need to be estimated for designing the multi-user precoder. Conventional grid-based Compressed Sensing (CS) methods for mmWave channel estimation suffer from the basis mismatch problem, which prevents accurate channel reconstruction and degrades the precoding performance. This paper formulates mmWave channel estimation as an Atomic Norm Minimization (ANM) problem. In contrast to grid-based CS methods which use discrete dictionaries, ANM uses a continuous dictionary for representing the mmWave channel. We consider a continuous dictionary based on sub-sampling in the antenna domain via a small number of radio frequency chains. We show that mmWave channel estimation using ANM can be formulated as a Semidefinite Programming (SDP) problem, and the channel can be accurately estimated via off-the-shelf SDP solvers in polynomial time. Simulation results indicate that ANM can achieve much better estimation accuracy compared to grid-based CS, and significantly improves the spectral efficiency provided by multi-user precoding.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.title
MmWave Channel Estimation via Atomic Norm Minimization for Multi-User Hybrid Precoding
en_US
dc.type
Conference Paper
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2018-06-11
ethz.book.title
2018 IEEE Wireless Communications and Networking Conference (WCNC)
en_US
ethz.pages.start
1
en_US
ethz.pages.end
6
en_US
ethz.size
6 p. accepted version
en_US
ethz.version.deposit
acceptedVersion
en_US
ethz.event
IEEE Wireless Communications and Networking Conference (WCNC 2018)
en_US
ethz.event.location
Barcelona, Spain
en_US
ethz.event.date
April 15-18, 2018
en_US
ethz.notes
Conference lecture held on April 17, 2018
en_US
ethz.publication.place
Piscataway, NJ
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02636 - Institut für Integrierte Systeme / Integrated Systems Laboratory::09695 - Studer, Christoph / Studer, Christoph
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02636 - Institut für Integrierte Systeme / Integrated Systems Laboratory::09695 - Studer, Christoph / Studer, Christoph
en_US
ethz.date.deposited
2021-01-07T16:27:37Z
ethz.source
FORM
ethz.eth
no
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2021-01-08T07:22:01Z
ethz.rosetta.lastUpdated
2022-03-29T04:43:47Z
ethz.rosetta.versionExported
true
ethz.COinS
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