Optimal training design for channel estimation in amplify and forward relay networks

Tao Cui*, Feifei Gao, Arumugam Nallanathan

*Corresponding author for this work

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

19 Citations (Scopus)

Abstract

In this paper, we study training based channel estimation for relay networks using the amplify-and-forward (AF) transmission scheme. We first point out that separately estimating the channel from source to relay and the channel from relay to destination incurs several problems. We then propose a new estimation scheme that directly estimates the overall channel from source to destination. The proposed channel estimation well matches the AF based space time coding that was developed recently. Both linear least-square estimator and minimum mean-square-error estimator are studied. The corresponding optimal training sequences and the optimal precoding matrices are also derived.

Original languageEnglish
Title of host publicationGLOBECOM 2007: 2007 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, VOLS 1-11
Place of PublicationNEW YORK
PublisherIEEE
Pages4015-4019
Number of pages5
ISBN (Print)978-1-4244-1042-2
Publication statusPublished - 2007
EventIEEE Global Telecommunications Conference (GLOBECOM 07) - Washington, United Kingdom
Duration: 26 Nov 200730 Nov 2007

Publication series

NameIEEE Global Telecommunications Conference (Globecom)
PublisherIEEE
ISSN (Print)1930-529X

Conference

ConferenceIEEE Global Telecommunications Conference (GLOBECOM 07)
Country/TerritoryUnited Kingdom
Period26/11/200730/11/2007

Keywords

  • WIRELESS
  • DIVERSITY

Fingerprint

Dive into the research topics of 'Optimal training design for channel estimation in amplify and forward relay networks'. Together they form a unique fingerprint.

Cite this