MIMO Channel Prediction Using ESPRIT Based Techniques

Joël Vanderpypen; Laurent Schumacher

doi:10.1109/PIMRC.2007.4394442

MIMO Channel Prediction Using ESPRIT Based Techniques

Joël Vanderpypen, Laurent Schumacher

Faculty of Computer Science

Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution

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Abstract

To adapt the transmission schemes in wireless communications, it is useful for the transmitter to have actual knowledge of the channel's behavior. One way to build such knowledge is to predict the future state of the channel from past measurements. This paper presents two MIMO channel predictors, derived from existing SISO ESPRIT-based techniques. With a sampling rate of 4 samples per wavelength, 17 channel observations are sufficient to produce predictions over a few wavelengths in the case of a 4 x 4 MIMO system operating in a microcell environment. These predictors are quite simple and have limited computational needs.

Original language	English
Title of host publication	2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications
Publisher	IEEE
ISBN (Print)	1-4244-1144-0
DOIs	https://doi.org/10.1109/PIMRC.2007.4394442
Publication status	Published - 2007

Keywords

MIMO
ESPRIT
Prediction

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10.1109/PIMRC.2007.4394442

61289Submitted manuscript, 210 KB

Cite this

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title = "MIMO Channel Prediction Using ESPRIT Based Techniques",

abstract = "To adapt the transmission schemes in wireless communications, it is useful for the transmitter to have actual knowledge of the channel's behavior. One way to build such knowledge is to predict the future state of the channel from past measurements. This paper presents two MIMO channel predictors, derived from existing SISO ESPRIT-based techniques. With a sampling rate of 4 samples per wavelength, 17 channel observations are sufficient to produce predictions over a few wavelengths in the case of a 4 x 4 MIMO system operating in a microcell environment. These predictors are quite simple and have limited computational needs.",

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AB - To adapt the transmission schemes in wireless communications, it is useful for the transmitter to have actual knowledge of the channel's behavior. One way to build such knowledge is to predict the future state of the channel from past measurements. This paper presents two MIMO channel predictors, derived from existing SISO ESPRIT-based techniques. With a sampling rate of 4 samples per wavelength, 17 channel observations are sufficient to produce predictions over a few wavelengths in the case of a 4 x 4 MIMO system operating in a microcell environment. These predictors are quite simple and have limited computational needs.

KW - MIMO

KW - ESPRIT

KW - Prediction

U2 - 10.1109/PIMRC.2007.4394442

DO - 10.1109/PIMRC.2007.4394442

M3 - Conference contribution

SN - 1-4244-1144-0

BT - 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications

PB - IEEE

ER -

MIMO Channel Prediction Using ESPRIT Based Techniques

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Keywords

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