Utilizing channel mean information with MMSE detection for LDC in MIMO systems

Aydin Sezgin, Eduard A. Jorswieck, Holger Boche, Elena Costa

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this work, we study a MIMO system with a transmitter using a linear dispersion code (LDC) and an linear MMSE detector at the receiver in a Ricean flat-fading environment. The focus of our work is the analysis of the optimal transmit strategy using different types of LDC assuming that the transmitter knows only thie mean channel matrix. On the one hand we consider spatial multiplexing (SM) schemes achieving high data rates, however sacrificing diversity. On the other hand, we have schemes achieving full diversity like quasi-orthogonal space-time block codes (QSTBC) or orthogonal space-time block codes (OSTBC). Depending on the LDC in use, the optimization problem is either convex or non-convex. For both of theses classes of LDC we derive the properties of the average normalised MSE and analyse the impact of the mean component on the MSE, the optimal transmit strategy and the optimal power allocation.

Original languageEnglish
Title of host publicationProceedings - 2006 IEEE International Symposium on Information Theory, ISIT 2006
Pages1569-1573
Number of pages5
DOIs
StatePublished - 2006
Externally publishedYes
Event2006 IEEE International Symposium on Information Theory, ISIT 2006 - Seattle, WA, United States
Duration: 9 Jul 200614 Jul 2006

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
ISSN (Print)2157-8101

Conference

Conference2006 IEEE International Symposium on Information Theory, ISIT 2006
Country/TerritoryUnited States
CitySeattle, WA
Period9/07/0614/07/06

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