Adaptive vector quantization in SVD MIMO system backward link with limited number of active sub channels
This paper presents combination of Channel Optimized Vector Quantization based on LBG algorithm and sub channel power allocation for MIMO systems with Singular Value Decomposition and limited number of active sub channels. Proposed algorithm is designed to enable maximal throughput with bit error ra...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Faculty of Technical Sciences in Cacak
2004-01-01
|
Series: | Serbian Journal of Electrical Engineering |
Subjects: | |
Online Access: | http://www.doiserbia.nb.rs/img/doi/1451-4869/2004/1451-48690403113I.pdf |
id |
doaj-065f13def65b4ae7a0ca774f27023cc4 |
---|---|
record_format |
Article |
spelling |
doaj-065f13def65b4ae7a0ca774f27023cc42020-11-24T22:29:14ZengFaculty of Technical Sciences in CacakSerbian Journal of Electrical Engineering1451-48692217-71832004-01-011311312310.2298/SJEE0403113I1451-48690403113IAdaptive vector quantization in SVD MIMO system backward link with limited number of active sub channelsIvaniš Predrag0Drajić Dušan B.1Faculty of Electrical Engineering, Department of Telecommunications, Belgrade, Serbia and MontenegroFaculty of Electrical Engineering, Department of Telecommunications, Belgrade, Serbia and MontenegroThis paper presents combination of Channel Optimized Vector Quantization based on LBG algorithm and sub channel power allocation for MIMO systems with Singular Value Decomposition and limited number of active sub channels. Proposed algorithm is designed to enable maximal throughput with bit error rate bellow some tar- get level in case of backward channel capacity limitation. Presence of errors effect in backward channel is also considered.http://www.doiserbia.nb.rs/img/doi/1451-4869/2004/1451-48690403113I.pdfMIMO systemsspace-time codingvector quantization |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ivaniš Predrag Drajić Dušan B. |
spellingShingle |
Ivaniš Predrag Drajić Dušan B. Adaptive vector quantization in SVD MIMO system backward link with limited number of active sub channels Serbian Journal of Electrical Engineering MIMO systems space-time coding vector quantization |
author_facet |
Ivaniš Predrag Drajić Dušan B. |
author_sort |
Ivaniš Predrag |
title |
Adaptive vector quantization in SVD MIMO system backward link with limited number of active sub channels |
title_short |
Adaptive vector quantization in SVD MIMO system backward link with limited number of active sub channels |
title_full |
Adaptive vector quantization in SVD MIMO system backward link with limited number of active sub channels |
title_fullStr |
Adaptive vector quantization in SVD MIMO system backward link with limited number of active sub channels |
title_full_unstemmed |
Adaptive vector quantization in SVD MIMO system backward link with limited number of active sub channels |
title_sort |
adaptive vector quantization in svd mimo system backward link with limited number of active sub channels |
publisher |
Faculty of Technical Sciences in Cacak |
series |
Serbian Journal of Electrical Engineering |
issn |
1451-4869 2217-7183 |
publishDate |
2004-01-01 |
description |
This paper presents combination of Channel Optimized Vector Quantization based on LBG algorithm and sub channel power allocation for MIMO systems with Singular Value Decomposition and limited number of active sub channels. Proposed algorithm is designed to enable maximal throughput with bit error rate bellow some tar- get level in case of backward channel capacity limitation. Presence of errors effect in backward channel is also considered. |
topic |
MIMO systems space-time coding vector quantization |
url |
http://www.doiserbia.nb.rs/img/doi/1451-4869/2004/1451-48690403113I.pdf |
work_keys_str_mv |
AT ivanispredrag adaptivevectorquantizationinsvdmimosystembackwardlinkwithlimitednumberofactivesubchannels AT drajicdusanb adaptivevectorquantizationinsvdmimosystembackwardlinkwithlimitednumberofactivesubchannels |
_version_ |
1725744334508130304 |