Approaching the MIMO Capacity with a Low-Rate Feedback Channel in V-BLAST

<p/> <p>This paper presents an extension of the vertical Bell Laboratories Layered Space-Time (V-BLAST) architecture in which the closed-loop multiple-input multiple-output (MIMO) capacity can be approached with conventional scalar coding, optimum successive decoding (OSD), and independe...

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Main Authors: Lozano Angel, Huang Howard C, Sutivong Arak, Chung Seong Taek, Cioffi John M
Format: Article
Language:English
Published: SpringerOpen 2004-01-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Online Access:http://dx.doi.org/10.1155/S1110865704312035
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spelling doaj-26c03dc3458a468583c6e3ab5cdd21d12020-11-25T01:06:01ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802004-01-0120045816702Approaching the MIMO Capacity with a Low-Rate Feedback Channel in V-BLASTLozano AngelHuang Howard CSutivong ArakChung Seong TaekCioffi John M<p/> <p>This paper presents an extension of the vertical Bell Laboratories Layered Space-Time (V-BLAST) architecture in which the closed-loop multiple-input multiple-output (MIMO) capacity can be approached with conventional scalar coding, optimum successive decoding (OSD), and independent rate assignments for each transmit antenna. This theoretical framework is used as a basis for the proposed algorithms whereby rate and power information for each transmit antenna is acquired via a low-rate feedback channel. We propose the successive quantization with power control (SQPC) and successive rate and power quantization (SRPQ) algorithms. In SQPC, rate quantization is performed with continuous power control. This performs better than simply quantizing the rates without power control. A more practical implementation of SQPC is SRPQ, in which both rate and power levels are quantized. The performance loss due to power quantization is insignificant when 4&#150;5 bits are used per antenna. Both SQPC and SRPQ show an average total rate close to the closed-loop MIMO capacity if a capacity-approaching scalar code is used per antenna.</p>http://dx.doi.org/10.1155/S1110865704312035adaptive antennasBLASTinterference cancellationMIMO systemsspace-time processingdiscrete bit loading
collection DOAJ
language English
format Article
sources DOAJ
author Lozano Angel
Huang Howard C
Sutivong Arak
Chung Seong Taek
Cioffi John M
spellingShingle Lozano Angel
Huang Howard C
Sutivong Arak
Chung Seong Taek
Cioffi John M
Approaching the MIMO Capacity with a Low-Rate Feedback Channel in V-BLAST
EURASIP Journal on Advances in Signal Processing
adaptive antennas
BLAST
interference cancellation
MIMO systems
space-time processing
discrete bit loading
author_facet Lozano Angel
Huang Howard C
Sutivong Arak
Chung Seong Taek
Cioffi John M
author_sort Lozano Angel
title Approaching the MIMO Capacity with a Low-Rate Feedback Channel in V-BLAST
title_short Approaching the MIMO Capacity with a Low-Rate Feedback Channel in V-BLAST
title_full Approaching the MIMO Capacity with a Low-Rate Feedback Channel in V-BLAST
title_fullStr Approaching the MIMO Capacity with a Low-Rate Feedback Channel in V-BLAST
title_full_unstemmed Approaching the MIMO Capacity with a Low-Rate Feedback Channel in V-BLAST
title_sort approaching the mimo capacity with a low-rate feedback channel in v-blast
publisher SpringerOpen
series EURASIP Journal on Advances in Signal Processing
issn 1687-6172
1687-6180
publishDate 2004-01-01
description <p/> <p>This paper presents an extension of the vertical Bell Laboratories Layered Space-Time (V-BLAST) architecture in which the closed-loop multiple-input multiple-output (MIMO) capacity can be approached with conventional scalar coding, optimum successive decoding (OSD), and independent rate assignments for each transmit antenna. This theoretical framework is used as a basis for the proposed algorithms whereby rate and power information for each transmit antenna is acquired via a low-rate feedback channel. We propose the successive quantization with power control (SQPC) and successive rate and power quantization (SRPQ) algorithms. In SQPC, rate quantization is performed with continuous power control. This performs better than simply quantizing the rates without power control. A more practical implementation of SQPC is SRPQ, in which both rate and power levels are quantized. The performance loss due to power quantization is insignificant when 4&#150;5 bits are used per antenna. Both SQPC and SRPQ show an average total rate close to the closed-loop MIMO capacity if a capacity-approaching scalar code is used per antenna.</p>
topic adaptive antennas
BLAST
interference cancellation
MIMO systems
space-time processing
discrete bit loading
url http://dx.doi.org/10.1155/S1110865704312035
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AT sutivongarak approachingthemimocapacitywithalowratefeedbackchannelinvblast
AT chungseongtaek approachingthemimocapacitywithalowratefeedbackchannelinvblast
AT cioffijohnm approachingthemimocapacitywithalowratefeedbackchannelinvblast
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