Robust maximin MIMO precoding for arbitrary convex uncertainty sets
2012 (English)In: Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on, IEEE , 2012, 3045-3048 p.Conference paper (Refereed)
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.
, IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings, ISSN 1520-6149
Convex uncertainty sets, imperfect CSIT, maximin, MIMO, worst-case robustness
Telecommunications Signal Processing
IdentifiersURN: 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
2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012; Kyoto; 25 March 2012 through 30 March 2012
FunderICT - The Next Generation
QC 201211192012-01-222012-01-222015-06-11Bibliographically approved