Feedback Quantization for Linear Precoded Spatial Multiplexing

Feedback Quantization for Linear Precoded Spatial Multiplexing

This paper gives an overview and a comparison of recent feedback quantization schemes for linear precoded spatial multiplexing systems. In addition, feedback compression methods are presented that exploit the time correlation of the channel. These methods can be roughly divided into two classes. The...

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Bibliographic Details
Main Authors: Geert Leus, Claude Simon
Format: Article
Language:English
Published: SpringerOpen 2008-04-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://dx.doi.org/10.1155/2008/683030
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spelling doaj-e83bf355b5514d6ba1fd6b64516f0ad32020-11-25T01:03:00ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61722008-04-01200810.1155/2008/683030Feedback Quantization for Linear Precoded Spatial MultiplexingGeert LeusClaude SimonThis paper gives an overview and a comparison of recent feedback quantization schemes for linear precoded spatial multiplexing systems. In addition, feedback compression methods are presented that exploit the time correlation of the channel. These methods can be roughly divided into two classes. The first class tries to minimize the data rate on the feedback link while keeping the performance constant. This class is novel and relies on entropy coding. The second class tries to optimize the performance while using the maximal data rate on the feedback link. This class is presented within the well-developed framework of finite-state vector quantization. Within this class, existing as well as novel methods are presented and compared.http://dx.doi.org/10.1155/2008/683030
collection DOAJ
language English
format Article
sources DOAJ
author Geert Leus
Claude Simon
spellingShingle Geert Leus
Claude Simon
Feedback Quantization for Linear Precoded Spatial Multiplexing
EURASIP Journal on Advances in Signal Processing
author_facet Geert Leus
Claude Simon
author_sort Geert Leus
title Feedback Quantization for Linear Precoded Spatial Multiplexing
title_short Feedback Quantization for Linear Precoded Spatial Multiplexing
title_full Feedback Quantization for Linear Precoded Spatial Multiplexing
title_fullStr Feedback Quantization for Linear Precoded Spatial Multiplexing
title_full_unstemmed Feedback Quantization for Linear Precoded Spatial Multiplexing
title_sort feedback quantization for linear precoded spatial multiplexing
publisher SpringerOpen
series EURASIP Journal on Advances in Signal Processing
issn 1687-6172
publishDate 2008-04-01
description This paper gives an overview and a comparison of recent feedback quantization schemes for linear precoded spatial multiplexing systems. In addition, feedback compression methods are presented that exploit the time correlation of the channel. These methods can be roughly divided into two classes. The first class tries to minimize the data rate on the feedback link while keeping the performance constant. This class is novel and relies on entropy coding. The second class tries to optimize the performance while using the maximal data rate on the feedback link. This class is presented within the well-developed framework of finite-state vector quantization. Within this class, existing as well as novel methods are presented and compared.
url http://dx.doi.org/10.1155/2008/683030
work_keys_str_mv AT geertleus feedbackquantizationforlinearprecodedspatialmultiplexing
AT claudesimon feedbackquantizationforlinearprecodedspatialmultiplexing
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