A Chernoff convexification for chance constrained MIMO training sequence design

Dimitrios Katselis, Cristian R. Rojas, Håkan Hjalmarsson, Mats Bengtsson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publication2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2012
Pages40-44
Number of pages5
DOIs
StatePublished - Nov 2 2012
Externally publishedYes
Event2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2012 - Cesme, Turkey
Duration: Jun 17 2012Jun 20 2012

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Other

Other2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2012
Country/TerritoryTurkey
CityCesme
Period6/17/126/20/12

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Information Systems

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