PCC: Principal components combining for dense correlated multipath fading environments

Mohamed Slim Alouini, Anna Scaglione, Georgios B. Giannakis

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

22 Scopus citations

Abstract

Spread spectrum transmissions and RAKE receivers are known to alleviate the effects of random fading. In the context of future wideband/ultra-wideband systems, both estimation accuracy and receiver complexity are adversely affected when the number of channel parameters increases. As an alternative to generalized selection combining schemes, which have received a great deal of attention over the last couple of years, this work introduces a new class of diversity schemes that trade off optimally diversity gain with receiver complexity. The basic idea is to exploit the information on the channel statistics in selecting a linear mapping that reduces the channel order while minimizing the loss in terms of diversity gain. We prove that the optimal linear mapping amounts to projecting the received data onto the channel's principal components obtained by the eigenvectors of the channel correlation matrix corresponding to the Q strongest eigenvalues. We then derive closed-form expressions for the average combined signal-to-noise ratio and the average symbol error rate for various modulation schemes operating in dense Nakagami-m correlated multipath fading environments of practical interest.

Original languageEnglish (US)
Title of host publicationIEEE Vehicular Technology Conference
PublisherIEEE
Pages2510-2517
Number of pages8
Volume5
Edition52 ND
StatePublished - 2000
Externally publishedYes
Event52nd Vehicular Technology Conference (IEEE VTS Fall VTC2000) - Boston, MA, USA
Duration: Sep 24 2000Sep 28 2000

Other

Other52nd Vehicular Technology Conference (IEEE VTS Fall VTC2000)
CityBoston, MA, USA
Period9/24/009/28/00

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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