Wideband wireless channel predictor relying on environment information

Yan Zhang*, Shanjian Liu, Yanhua Rui, Shidong Zhou, Jing Wang

*Corresponding author for this work

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

4 Citations (Scopus)

Abstract

With the development of wireless communication system, long-range precise channel prediction is considered to be more important. Traditional predictors require a lot of pilots and their performances degrade very fast after the correlation time, especially in high speed mobile environment. A new parametric channel predictor, CPREI, which is based on the auxiliary environment information, is presented in this paper. This new method can reduce the number of pilots and improve the prediction length. From the evaluation with real measured data, this predictor outperforms the former Auto Regression (AR) predictor.

Original languageEnglish
Title of host publicationISAPE 2008 - The 8th International Symposium on Antennas, Propagation and EM Theory Proceedings
Pages945-948
Number of pages4
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event8th International Symposium on Antennas, Propagation and EM Theory, ISAPE 2008 - Kunming, China
Duration: 2 Nov 20085 Nov 2008

Publication series

NameISAPE 2008 - The 8th International Symposium on Antennas, Propagation and EM Theory Proceedings

Conference

Conference8th International Symposium on Antennas, Propagation and EM Theory, ISAPE 2008
Country/TerritoryChina
CityKunming
Period2/11/085/11/08

Keywords

  • CPREI (channel predictor relying on rnvironment information)
  • Channel prediction
  • Environment parameter

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