A Chernoff convexification for chance constrained MIMO training sequence design
2012 (English)In: Signal Processing Advances in Wireless Communications (SPAWC), 2012 IEEE 13th International Workshop on, IEEE , 2012, 40-44 p.Conference paper (Refereed)
In this paper, multiple input multiple output (MIMO) channel estimation formulated as a chance constrained problem is investigated. The chance constraint is based on the presumption that the estimated channel can be used in an application to achieve a given performance level with a prescribed probability. The aforementioned performance level is dictated by the particular application of interest. The resulting optimization problem is known to be nonconvex in most cases. To this end, convexification is attempted by employing a Chernoff inequality. As an application, we focus on the estimation of MIMO wireless channels based on a general L-optimality type of performance measure.
Place, publisher, year, edition, pages
IEEE , 2012. 40-44 p.
Communication channels (information theory), MIMO systems, Optimization, Signal processing, Wireless telecommunication systems
IdentifiersURN: urn:nbn:se:kth:diva-104645DOI: 10.1109/SPAWC.2012.6292939ISI: 000320276200009ScopusID: 2-s2.0-84868034830ISBN: 978-146730971-4OAI: oai:DiVA.org:kth-104645DiVA: diva2:565694
2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2012;Cesme; 17 June 2012 through 20 June 2012
FunderICT - The Next Generation
QC 201212142012-11-082012-11-082013-08-07Bibliographically approved