Channel estimation of dual-hop MIMO relay systems using parallel factor analysis

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

Abstract

The optimal source precoding matrix and relay amplifying matrix have been developed in recent works on multiple-input multiple-output (MIMO) relay communication systems assuming that the instantaneous channel state information (CSI) is available. However, in practical relay communication systems, the instantaneous CSI is unknown, and therefore, has to be estimated at the destination node. In this paper, we develop a novel channel estimation algorithm for two-hop MIMO relay systems using the parallel factor (PARAFAC) analysis. The proposed algorithm provides the destination node with full knowledge of all channel matrices involved in the communication. Compared with existing approaches, the proposed algorithm requires less number of training data blocks, and is applicable for both one-way and two-way MIMO relay systems with single or multiple relay nodes. Numerical examples demonstrate the effectiveness of the PARAFAC-based channel estimation algorithm.

Original languageEnglish
Title of host publication17th Asia Pacific Conference on Communications
PublisherIEEE
Pages278-283
Number of pages6
ISBN (Electronic)9781457703904
ISBN (Print)9781457703898
DOIs
Publication statusPublished - 16 Feb 2012
Event17th Asia Pacific Conference on Communications 2011 - Kota Kinabalu, Sabah, Malaysia
Duration: 2 Oct 20115 Oct 2011

Conference

Conference17th Asia Pacific Conference on Communications 2011
Abbreviated titleAPCC 2011
CountryMalaysia
CityKota Kinabalu, Sabah
Period2/10/115/10/11

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Communication

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