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Convex Optimization-Based Beamforming: From Receive to Transmit and Network Designs
Darmstadt University of Technology, Germany.
Technical University of Crete, Greece.
University of Ontario Institute of Technology, Oshawa, Canada.
KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. KTH, School of Electrical Engineering (EES), Signal Processing.ORCID iD: 0000-0002-3599-5584
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2010 (English)In: IEEE signal processing magazine (Print), ISSN 1053-5888, E-ISSN 1558-0792, Vol. 27, no 3, 62-75 p.Article in journal (Refereed) Published
Abstract [en]

In this article, an overview of advanced convex optimization approaches to-multisensor beamforming is presented, and connections are drawn between different types of optimization-based beamformers that apply to a broad class of receive, transmit, and network beamformer design problems. It is demonstrated that convex optimization provides an indispensable set of tools for beamforming, enabling rigorous formulation and effective solution of both long-standing and emerging design problems.

Place, publisher, year, edition, pages
IEEE , 2010. Vol. 27, no 3, 62-75 p.
Keyword [en]
OUTAGE-PROBABILITY SPECIFICATIONS, CHANNEL STATE INFORMATION, ROBUST LINEAR RECEIVERS, MULTIUSER MISO SYSTEMS, POWER-CONTROL, APPROXIMATION BOUNDS, RELAY NETWORKS, MIMO SYSTEMS, DOWNLINK, CONSTRAINTS
National Category
Signal Processing Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-28283DOI: 10.1109/MSP.2010.936015ISI: 000276819100009Scopus ID: 2-s2.0-77951454436OAI: oai:DiVA.org:kth-28283DiVA: diva2:387094
Note

QC 20110113 QC 20151223

Available from: 2011-01-13 Created: 2011-01-12 Last updated: 2017-12-11Bibliographically approved

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Bengtsson, MatsOttersten, Björn

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