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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2004-01-01
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Online Access: | http://dx.doi.org/10.1155/S1110865704312035 |
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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 4–5 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 4–5 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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