{"title":"一种改进的MIMO系统动态天线选择算法","authors":"Gu Zhaozhi, L. Sheng","doi":"10.1109/ICSPS.2010.5555895","DOIUrl":null,"url":null,"abstract":"Channel capacity formula of MIMO system before and after antenna selection is derived. A modified dynamic antenna selection algorithm is presented. This algorithm selects the optimal k antennas based on Water Pouring principle, then the selected k transmitting antennas are redistributed equal transmit power. To verify the algorithm, it is applied to full-rank and rank deficient channel. Numerical results show the algorithm could select the optimal antenna subset in the two cases in a high degree of accuracy without redundant computation time.","PeriodicalId":234084,"journal":{"name":"2010 2nd International Conference on Signal Processing Systems","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A modified dynamic antenna selection algorithm for MIMO system\",\"authors\":\"Gu Zhaozhi, L. Sheng\",\"doi\":\"10.1109/ICSPS.2010.5555895\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Channel capacity formula of MIMO system before and after antenna selection is derived. A modified dynamic antenna selection algorithm is presented. This algorithm selects the optimal k antennas based on Water Pouring principle, then the selected k transmitting antennas are redistributed equal transmit power. To verify the algorithm, it is applied to full-rank and rank deficient channel. Numerical results show the algorithm could select the optimal antenna subset in the two cases in a high degree of accuracy without redundant computation time.\",\"PeriodicalId\":234084,\"journal\":{\"name\":\"2010 2nd International Conference on Signal Processing Systems\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 2nd International Conference on Signal Processing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSPS.2010.5555895\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd International Conference on Signal Processing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSPS.2010.5555895","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A modified dynamic antenna selection algorithm for MIMO system
Channel capacity formula of MIMO system before and after antenna selection is derived. A modified dynamic antenna selection algorithm is presented. This algorithm selects the optimal k antennas based on Water Pouring principle, then the selected k transmitting antennas are redistributed equal transmit power. To verify the algorithm, it is applied to full-rank and rank deficient channel. Numerical results show the algorithm could select the optimal antenna subset in the two cases in a high degree of accuracy without redundant computation time.
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