MIMO Channel ESPRIT-based Predictor Using Limited Feedback Load

Research output: Contribution to journalLiterature review

Abstract

In wireless communications, having knowledge of the channel state at the transmitter side is useful to adapt the transmission scheme. To build such knowledge, one way is to predict future state of the channel from past measurements. These measurements are actually performed at the receiver side, and have therefore to be fed back to the transmitter side. To limit the feedback load, we will consider quantization on a few bits. This paper presents a MIMO channel predictor, derived from existing SISO ESPRIT-based techniques. Considering a 4 x 4 MIMO channel operating in a microcell environment with a sampling rate of 4 samples per wavelength, 17 channel observations, quantized with 2,176 bits, are sufficient to initialize the MIMO channel predictor. The complexity of the predictor remains acceptable, and its computational needs are limited. The channel predictor can also be used to predict rank of MIMO channel matrices, since knowing the rank of the channel can be sufficient for most of the transmit schemes. The strategy is to predict the channel matrix first, and then to assess its rank.
Original languageEnglish
Journalthe 4th Management Committee Meeting of COST2100 - Wroclaw (Poland), 6-8 February 2008
Publication statusPublished - 2008

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MIMO systems
Feedback
Transmitters
Antenna feeders
Sampling
Wavelength
Communication

Cite this

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title = "MIMO Channel ESPRIT-based Predictor Using Limited Feedback Load",
abstract = "In wireless communications, having knowledge of the channel state at the transmitter side is useful to adapt the transmission scheme. To build such knowledge, one way is to predict future state of the channel from past measurements. These measurements are actually performed at the receiver side, and have therefore to be fed back to the transmitter side. To limit the feedback load, we will consider quantization on a few bits. This paper presents a MIMO channel predictor, derived from existing SISO ESPRIT-based techniques. Considering a 4 x 4 MIMO channel operating in a microcell environment with a sampling rate of 4 samples per wavelength, 17 channel observations, quantized with 2,176 bits, are sufficient to initialize the MIMO channel predictor. The complexity of the predictor remains acceptable, and its computational needs are limited. The channel predictor can also be used to predict rank of MIMO channel matrices, since knowing the rank of the channel can be sufficient for most of the transmit schemes. The strategy is to predict the channel matrix first, and then to assess its rank.",
author = "Jo{\"e}l Vanderpypen and Laurent Schumacher",
year = "2008",
language = "English",
journal = "the 4th Management Committee Meeting of COST2100 - Wroclaw (Poland), 6-8 February 2008",

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TY - JOUR

T1 - MIMO Channel ESPRIT-based Predictor Using Limited Feedback Load

AU - Vanderpypen, Joël

AU - Schumacher, Laurent

PY - 2008

Y1 - 2008

N2 - In wireless communications, having knowledge of the channel state at the transmitter side is useful to adapt the transmission scheme. To build such knowledge, one way is to predict future state of the channel from past measurements. These measurements are actually performed at the receiver side, and have therefore to be fed back to the transmitter side. To limit the feedback load, we will consider quantization on a few bits. This paper presents a MIMO channel predictor, derived from existing SISO ESPRIT-based techniques. Considering a 4 x 4 MIMO channel operating in a microcell environment with a sampling rate of 4 samples per wavelength, 17 channel observations, quantized with 2,176 bits, are sufficient to initialize the MIMO channel predictor. The complexity of the predictor remains acceptable, and its computational needs are limited. The channel predictor can also be used to predict rank of MIMO channel matrices, since knowing the rank of the channel can be sufficient for most of the transmit schemes. The strategy is to predict the channel matrix first, and then to assess its rank.

AB - In wireless communications, having knowledge of the channel state at the transmitter side is useful to adapt the transmission scheme. To build such knowledge, one way is to predict future state of the channel from past measurements. These measurements are actually performed at the receiver side, and have therefore to be fed back to the transmitter side. To limit the feedback load, we will consider quantization on a few bits. This paper presents a MIMO channel predictor, derived from existing SISO ESPRIT-based techniques. Considering a 4 x 4 MIMO channel operating in a microcell environment with a sampling rate of 4 samples per wavelength, 17 channel observations, quantized with 2,176 bits, are sufficient to initialize the MIMO channel predictor. The complexity of the predictor remains acceptable, and its computational needs are limited. The channel predictor can also be used to predict rank of MIMO channel matrices, since knowing the rank of the channel can be sufficient for most of the transmit schemes. The strategy is to predict the channel matrix first, and then to assess its rank.

M3 - Literature review

JO - the 4th Management Committee Meeting of COST2100 - Wroclaw (Poland), 6-8 February 2008

JF - the 4th Management Committee Meeting of COST2100 - Wroclaw (Poland), 6-8 February 2008

ER -