{"title":"MIMO和MIMO- ofdm信道的自适应加载","authors":"Erez Wineberger, O. Amrani","doi":"10.1109/EEEI.2006.321120","DOIUrl":null,"url":null,"abstract":"Adaptive bit loading algorithms are proposed for MIMO and MIMO-OFDM systems, thus better exploiting space and frequency diversity. Constant power allocation is assumed over all subchannels while the bit error rate is unconstrained. An efficient bit loading algorithm, which maximizes system bit rate under target mean BER constraint is formulated for a multiple antenna system. Simulation results validate that the BER improvement achieved by using the BER-allocation algorithm in the MIMO-OFDM case is significant.","PeriodicalId":142814,"journal":{"name":"2006 IEEE 24th Convention of Electrical & Electronics Engineers in Israel","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Adaptive loading for MIMO and MIMO-OFDM channels\",\"authors\":\"Erez Wineberger, O. Amrani\",\"doi\":\"10.1109/EEEI.2006.321120\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Adaptive bit loading algorithms are proposed for MIMO and MIMO-OFDM systems, thus better exploiting space and frequency diversity. Constant power allocation is assumed over all subchannels while the bit error rate is unconstrained. An efficient bit loading algorithm, which maximizes system bit rate under target mean BER constraint is formulated for a multiple antenna system. Simulation results validate that the BER improvement achieved by using the BER-allocation algorithm in the MIMO-OFDM case is significant.\",\"PeriodicalId\":142814,\"journal\":{\"name\":\"2006 IEEE 24th Convention of Electrical & Electronics Engineers in Israel\",\"volume\":\"68 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE 24th Convention of Electrical & Electronics Engineers in Israel\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EEEI.2006.321120\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE 24th Convention of Electrical & Electronics Engineers in Israel","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EEEI.2006.321120","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive bit loading algorithms are proposed for MIMO and MIMO-OFDM systems, thus better exploiting space and frequency diversity. Constant power allocation is assumed over all subchannels while the bit error rate is unconstrained. An efficient bit loading algorithm, which maximizes system bit rate under target mean BER constraint is formulated for a multiple antenna system. Simulation results validate that the BER improvement achieved by using the BER-allocation algorithm in the MIMO-OFDM case is significant.
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