{"title":"神经CDMA多用户检测器性能分析","authors":"Toshiyuki TANAKA","doi":"10.1109/IJCNN.2001.938825","DOIUrl":null,"url":null,"abstract":"We analyze the performance of neural code-division multiple-access (CDMA) multiuser detectors. Formal correspondence between the CDMA multiuser detection problem and recurrent neural networks such as the Hopfield neural network and the Boltzmann machines is established, based on which the replica analysis on the bit-error rate of the neural multiuser detectors is presented. Detection dynamics of the neural multiuser detectors is also analyzed based on statistical neurodynamics.","PeriodicalId":346955,"journal":{"name":"IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Performance analysis of neural CDMA multiuser detector\",\"authors\":\"Toshiyuki TANAKA\",\"doi\":\"10.1109/IJCNN.2001.938825\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We analyze the performance of neural code-division multiple-access (CDMA) multiuser detectors. Formal correspondence between the CDMA multiuser detection problem and recurrent neural networks such as the Hopfield neural network and the Boltzmann machines is established, based on which the replica analysis on the bit-error rate of the neural multiuser detectors is presented. Detection dynamics of the neural multiuser detectors is also analyzed based on statistical neurodynamics.\",\"PeriodicalId\":346955,\"journal\":{\"name\":\"IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IJCNN.2001.938825\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IJCNN.2001.938825","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance analysis of neural CDMA multiuser detector
We analyze the performance of neural code-division multiple-access (CDMA) multiuser detectors. Formal correspondence between the CDMA multiuser detection problem and recurrent neural networks such as the Hopfield neural network and the Boltzmann machines is established, based on which the replica analysis on the bit-error rate of the neural multiuser detectors is presented. Detection dynamics of the neural multiuser detectors is also analyzed based on statistical neurodynamics.
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