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dc.contributor.author
Tirkkonen, Olav
dc.contributor.author
Studer, Christoph
dc.date.accessioned
2020-12-11T12:42:25Z
dc.date.available
2020-12-08T19:06:36Z
dc.date.available
2020-12-11T12:42:25Z
dc.date.issued
2017
dc.identifier.isbn
978-1-5090-4780-2
en_US
dc.identifier.isbn
978-1-5090-2697-5
en_US
dc.identifier.other
10.1109/CISS.2017.7926101
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/455421.1
dc.identifier.uri
http://hdl.handle.net/20.500.11850/455421
dc.identifier.doi
10.3929/ethz-b-000455421
dc.description.abstract
We consider a massive multiuser MIMO downlink scenario with 1-bit digital-to-analog converters. QPSK information symbols are transmitted to the users by a channel-dependent mapping of the symbols to 1-bit DAC signals that are transmitted from each base station (BS) antenna. The mapping is selected to emulate the desired information bearing QPSK symbols at the users. Non-linear precoding is considered, where the mapping from the information symbols to the transmit antenna signals is selected based on the combination of information symbols. First, a linear quantized precoder is used to create tentative transmit symbols. For each combination of information symbols, a subset of antennas is selected, and an exhaustive search over a limited size codebook of precoding alternatives is performed. The resulting method significantly lowers the error floor caused by quantization, with a complexity that is linear in the number of transmit antennas.
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
Subset-Codebook Precoding for 1-bit Massive Multiuser MIMO
en_US
dc.type
Conference Paper
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2017-05-15
ethz.book.title
2017 51st Annual Conference on Information Sciences and Systems (CISS)
en_US
ethz.pages.start
7926101
en_US
ethz.size
5 p.
en_US
ethz.version.deposit
acceptedVersion
en_US
ethz.event
51st Annual Conference on Information Sciences and Systems (CISS 2017)
en_US
ethz.event.location
Baltimore, MD, USA
en_US
ethz.event.date
March 22-24, 2017
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
2020-12-08T19:06:47Z
ethz.source
FORM
ethz.eth
no
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2021-02-15T22:10:05Z
ethz.rosetta.lastUpdated
2021-02-15T22:10:05Z
ethz.rosetta.versionExported
true
ethz.rosetta.versionExported
true
ethz.COinS
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