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Robust maximin MIMO precoding for arbitrary convex uncertainty sets
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-3599-5584
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0003-2298-6774
Hong Kong University of Science and Technology, Hong Kong SAR of China.
2012 (English)In: Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on, IEEE , 2012, 3045-3048 p.Conference paper (Refereed)
Abstract [en]

We consider a worst-case robust precoding design for multi-input multi-output (MIMO) communication systems with imperfect channel state information at the transmitter (CSIT). Instead of a particular choice, we consider a general imperfect CSIT model that only assumes the channel errors to be within a convex set, which includes most common imperfect CSIT models as special cases. The robust precoding design is formulated as a maximin problem, aiming at maximizing the worst-case received signal-to-noise ratio or minimizing the worst-case error probability. It is shown that the robust precoder can be easily obtained by solving a convex problem. We further provide an equivalent but more practical form of the convex problem that can be efficiently handled with common optimization methods and software packages.

Place, publisher, year, edition, pages
IEEE , 2012. 3045-3048 p.
Series
, IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings, ISSN 1520-6149
Keyword [en]
Convex uncertainty sets, imperfect CSIT, maximin, MIMO, worst-case robustness
National Category
Telecommunications Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-63158DOI: 10.1109/ICASSP.2012.6288557ISI: 000312381403030ScopusID: 2-s2.0-84867602141ISBN: 978-146730046-9OAI: oai:DiVA.org:kth-63158DiVA: diva2:481717
Conference
2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012; Kyoto; 25 March 2012 through 30 March 2012
Funder
ICT - The Next Generation
Note

QC 20121119

Available from: 2012-01-22 Created: 2012-01-22 Last updated: 2015-06-11Bibliographically approved

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