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dc.contributor.author
Zhang, Chuan
dc.contributor.author
Wu, Zhizhen
dc.contributor.author
Studer, Christoph
dc.contributor.author
Zhang, Zaichen
dc.contributor.author
You, Xiaohu
dc.date.accessioned
2021-12-02T13:12:36Z
dc.date.available
2021-01-11T16:40:48Z
dc.date.available
2021-01-12T07:52:26Z
dc.date.available
2021-02-17T07:39:48Z
dc.date.available
2021-03-25T08:38:39Z
dc.date.available
2021-04-27T07:42:12Z
dc.date.available
2021-05-26T06:47:04Z
dc.date.available
2021-06-09T07:23:23Z
dc.date.available
2021-07-12T12:21:29Z
dc.date.available
2021-08-04T10:04:44Z
dc.date.available
2021-10-14T11:09:56Z
dc.date.available
2021-11-03T07:44:07Z
dc.date.available
2021-12-02T13:12:36Z
dc.date.issued
2018-12
dc.identifier.issn
1549-8328
dc.identifier.issn
1057-7122
dc.identifier.issn
1558-0806
dc.identifier.other
10.1109/TCSI.2018.2875741
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/461392
dc.identifier.doi
10.3929/ethz-b-000461392
dc.description.abstract
For massive multiple-input multiple-output (MIMO) systems, linear minimum mean-square error (MMSE) detection has been shown to achieve near-optimal performance but suffers from excessively high complexity due to the large-scale matrix inversion. Being matrix inversion free, detection algorithms based on the Gauss–Seidel (GS) method have been proved more efficient than conventional Neumann series expansion-based ones. In this paper, an efficient GS-based soft-output data detector for massive MIMO and a corresponding VLSI architecture are proposed. To accelerate the convergence of the GS method, a new initial solution is proposed. Several optimizations on the VLSI architecture level are proposed to further reduce the processing latency and area. Our reference implementation results on a Xilinx Virtex-7 XC7VX690T FPGA for a 128 base-station antenna and eight user massive MIMO system show that our GS-based data detector achieves a throughput of 732 Mb/s with close-to-MMSE error-rate performance. Our implementation results demonstrate that the proposed solution has advantages over the existing designs in terms of complexity and efficiency, especially under challenging propagation conditions.
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
Efficient Soft-Output Gauss-Seidel Data Detector for Massive MIMO Systems
en_US
dc.type
Journal Article
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2018-10-26
ethz.journal.title
IEEE Transactions on Circuits and Systems I: Regular Papers
ethz.journal.volume
68
en_US
ethz.journal.issue
12
en_US
ethz.pages.start
5049
en_US
ethz.pages.end
5060
en_US
ethz.size
11 p. accepted version
en_US
ethz.version.deposit
acceptedVersion
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
2021-01-11T16:41:00Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2021-12-02T13:12:42Z
ethz.rosetta.lastUpdated
2021-12-02T13:12:42Z
ethz.rosetta.versionExported
true
ethz.COinS
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