{"title":"多小区合作系统的容量","authors":"Younsun Kim, Hongxiang Li, Hui Liu","doi":"10.1109/ISWCS.2008.4726068","DOIUrl":null,"url":null,"abstract":"The system capacity of a cellular wireless system consisting of a large number of fixed location base stations (BSs) and random location mobile stations (MSs) is studied. Assuming that the BSs in a multi-cell system are connected to a centralized controller which has access to channel state information (CSI), it is possible to optimize transmissions such that capacity is maximized. This paper discusses the theoretic limits of such cooperative multi-cell systems where a large number of BSs and MSs are involved. The evaluation is based on an accurate modeling of multi-cell deployment and practical BS per-antenna transmit power constraint. Performance results are obtained using numerical optimization and compared to the lower and upper bounds derived for different scenarios.","PeriodicalId":158650,"journal":{"name":"2008 IEEE International Symposium on Wireless Communication Systems","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Capacity of a multi-cell cooperative system\",\"authors\":\"Younsun Kim, Hongxiang Li, Hui Liu\",\"doi\":\"10.1109/ISWCS.2008.4726068\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The system capacity of a cellular wireless system consisting of a large number of fixed location base stations (BSs) and random location mobile stations (MSs) is studied. Assuming that the BSs in a multi-cell system are connected to a centralized controller which has access to channel state information (CSI), it is possible to optimize transmissions such that capacity is maximized. This paper discusses the theoretic limits of such cooperative multi-cell systems where a large number of BSs and MSs are involved. The evaluation is based on an accurate modeling of multi-cell deployment and practical BS per-antenna transmit power constraint. Performance results are obtained using numerical optimization and compared to the lower and upper bounds derived for different scenarios.\",\"PeriodicalId\":158650,\"journal\":{\"name\":\"2008 IEEE International Symposium on Wireless Communication Systems\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE International Symposium on Wireless Communication Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISWCS.2008.4726068\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Symposium on Wireless Communication Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISWCS.2008.4726068","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The system capacity of a cellular wireless system consisting of a large number of fixed location base stations (BSs) and random location mobile stations (MSs) is studied. Assuming that the BSs in a multi-cell system are connected to a centralized controller which has access to channel state information (CSI), it is possible to optimize transmissions such that capacity is maximized. This paper discusses the theoretic limits of such cooperative multi-cell systems where a large number of BSs and MSs are involved. The evaluation is based on an accurate modeling of multi-cell deployment and practical BS per-antenna transmit power constraint. Performance results are obtained using numerical optimization and compared to the lower and upper bounds derived for different scenarios.