On Low-Complexity Full-diversity Detection In Multi-User MIMO Multiple-Access Channels

Handle URI:
http://hdl.handle.net/10754/311950
Title:
On Low-Complexity Full-diversity Detection In Multi-User MIMO Multiple-Access Channels
Authors:
Ismail, Amr; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
Multiple-input multiple-output (MIMO) techniques are becoming commonplace in recent wireless communication standards. This newly introduced dimension (i.e., space) can be efficiently used to mitigate the interference in the multi-user MIMO context. In this paper, we focus on the uplink of a MIMO multiple access channel (MAC) where perfect channel state information (CSI) is only available at the destination. We provide new sufficient conditions for a wide range of space-time block codes (STBC)s to achieve full-diversity under partial interference cancellation group decoding (PICGD) with or without successive interference cancellation (SIC) for completely blind users. Interference cancellation (IC) schemes for two and three users are then provided and shown to satisfy the full-diversity criteria. Beside the complexity reduction due to the fact that PICGD enables separate decoding of distinct users without sacrificing the diversity gain, further reduction of the decoding complexity may be obtained. In fact, thanks to the structure of the proposed schemes, the real and imaginary parts of each user's symbols may be decoupled without any loss of performance. Our new IC scheme is shown to outperform recently proposed two-user IC scheme especially for high spectral efficiency while requiring significantly less decoding complexity.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Communication Theory Lab
Issue Date:
28-Jan-2014
Type:
Article
Appears in Collections:
Articles; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorIsmail, Amren
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2014-01-28T12:41:09Z-
dc.date.available2014-01-28T12:41:09Z-
dc.date.issued2014-01-28en
dc.identifier.urihttp://hdl.handle.net/10754/311950en
dc.description.abstractMultiple-input multiple-output (MIMO) techniques are becoming commonplace in recent wireless communication standards. This newly introduced dimension (i.e., space) can be efficiently used to mitigate the interference in the multi-user MIMO context. In this paper, we focus on the uplink of a MIMO multiple access channel (MAC) where perfect channel state information (CSI) is only available at the destination. We provide new sufficient conditions for a wide range of space-time block codes (STBC)s to achieve full-diversity under partial interference cancellation group decoding (PICGD) with or without successive interference cancellation (SIC) for completely blind users. Interference cancellation (IC) schemes for two and three users are then provided and shown to satisfy the full-diversity criteria. Beside the complexity reduction due to the fact that PICGD enables separate decoding of distinct users without sacrificing the diversity gain, further reduction of the decoding complexity may be obtained. In fact, thanks to the structure of the proposed schemes, the real and imaginary parts of each user's symbols may be decoupled without any loss of performance. Our new IC scheme is shown to outperform recently proposed two-user IC scheme especially for high spectral efficiency while requiring significantly less decoding complexity.en
dc.language.isoenen
dc.subjectInterference cancellationen
dc.subjectfull-diversityen
dc.subjectdecoding complexityen
dc.subjectpartial interference cancellation group decodingen
dc.titleOn Low-Complexity Full-diversity Detection In Multi-User MIMO Multiple-Access Channelsen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentCommunication Theory Laben
dc.eprint.versionPre-printen
dc.contributor.institutionDepartment of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, United Statesen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
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