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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Editorial Department of Journal on Communications
2011-11-01
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Series: | Tongxin xuebao |
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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 |