MIMO Channel Prediction Using ESPRIT Based Techniques

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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.

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MIMO systems
Wavelength
Transmitters
Sampling
Communication

Keywords

  • MIMO
  • ESPRIT
  • Prediction

Cite this

@article{9be547b146134f35b84114634299cfcf,
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.",
keywords = "MIMO, ESPRIT, Prediction",
author = "Jo{\"e}l Vanderpypen and Laurent Schumacher",
year = "2007",
language = "English",
journal = "Proceedings of the 18th Annual International Symposium on Personal, Indoor, Mobile Radio Communications PIMRC 2007",

}

TY - JOUR

T1 - MIMO Channel Prediction Using ESPRIT Based Techniques

AU - Vanderpypen, Joël

AU - Schumacher, Laurent

PY - 2007

Y1 - 2007

N2 - 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.

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

M3 - Literature review

JO - Proceedings of the 18th Annual International Symposium on Personal, Indoor, Mobile Radio Communications PIMRC 2007

JF - Proceedings of the 18th Annual International Symposium on Personal, Indoor, Mobile Radio Communications PIMRC 2007

ER -