Optimum iterative water-filling algorithm for cognitive MIMO MAC

The sum-rate maximization problem of the cognitive multiple-input multiple-output multiple access channel (MIMO MAC) under transmit power and interference temperature constraints was addressed.By exploiting the partial dual decomposition technique to relax the interference temperature constraint,the...

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Main Authors: Fei WEI, Zhen YANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2011-11-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/1000-436X(2011)11-0133-07/
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author Fei WEI
Zhen YANG
author_facet Fei WEI
Zhen YANG
author_sort Fei WEI
collection DOAJ
description The sum-rate maximization problem of the cognitive multiple-input multiple-output multiple access channel (MIMO MAC) under transmit power and interference temperature constraints was addressed.By exploiting the partial dual decomposition technique to relax the interference temperature constraint,the original problem was decomposed into more tractable subproblems.An iterative algorithm,in which the dual variable update and the iterative water-filling computation were performed alternately,was proposed to obtain the optimum transmit covariance matrices that achieved the maximum sum-rate.Finally,simulation results have been presented to verify the effectiveness of the algorithm.
format Article
id doaj-art-1cb9ec7b6694474284ca90d2083a9ed7
institution Kabale University
issn 1000-436X
language zho
publishDate 2011-11-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-1cb9ec7b6694474284ca90d2083a9ed72025-01-14T06:30:43ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2011-11-013213313959659020Optimum iterative water-filling algorithm for cognitive MIMO MACFei WEIZhen YANGThe sum-rate maximization problem of the cognitive multiple-input multiple-output multiple access channel (MIMO MAC) under transmit power and interference temperature constraints was addressed.By exploiting the partial dual decomposition technique to relax the interference temperature constraint,the original problem was decomposed into more tractable subproblems.An iterative algorithm,in which the dual variable update and the iterative water-filling computation were performed alternately,was proposed to obtain the optimum transmit covariance matrices that achieved the maximum sum-rate.Finally,simulation results have been presented to verify the effectiveness of the algorithm.http://www.joconline.com.cn/zh/article/doi/1000-436X(2011)11-0133-07/cognitive radiomultiple access channeliterative water-fillinginterference temperaturepartial dual decomposition
spellingShingle Fei WEI
Zhen YANG
Optimum iterative water-filling algorithm for cognitive MIMO MAC
Tongxin xuebao
cognitive radio
multiple access channel
iterative water-filling
interference temperature
partial dual decomposition
title Optimum iterative water-filling algorithm for cognitive MIMO MAC
title_full Optimum iterative water-filling algorithm for cognitive MIMO MAC
title_fullStr Optimum iterative water-filling algorithm for cognitive MIMO MAC
title_full_unstemmed Optimum iterative water-filling algorithm for cognitive MIMO MAC
title_short Optimum iterative water-filling algorithm for cognitive MIMO MAC
title_sort optimum iterative water filling algorithm for cognitive mimo mac
topic cognitive radio
multiple access channel
iterative water-filling
interference temperature
partial dual decomposition
url http://www.joconline.com.cn/zh/article/doi/1000-436X(2011)11-0133-07/
work_keys_str_mv AT feiwei optimumiterativewaterfillingalgorithmforcognitivemimomac
AT zhenyang optimumiterativewaterfillingalgorithmforcognitivemimomac