{"title":"出发角辅助的机会空间分割多址","authors":"G. Dahman, R. Hafez","doi":"10.1109/CNSR.2009.31","DOIUrl":null,"url":null,"abstract":"In this paper, a novel transmission technique for the multiple-input multiple-output (MIMO) broadcasting directional channels is introduced. During the training period, the base station sends a set of mutually orthogonal signals which enables each user to estimate the angle-of-departure of the anticipated strongest beam and the corresponding SNR. Then, the base station uses the reported angles-of-departure and SNRs to select a subgroup of users for data transmission in such a way that the sum capacity is maximized. Compared to the opportunistic space-division multiple access with beam selection algorithm [12], the advantage of the proposed algorithm is that it provides throughput gains up to 95% with low to medium number of users, under the same number of feedback bits. In addition to our new proposed algorithm, we introduce a modified version of the opportunistic space-division multiple access with beam selection algorithm, which shows a significant throughput improvement when evaluated using directional channel models such as WINNER.","PeriodicalId":103090,"journal":{"name":"2009 Seventh Annual Communication Networks and Services Research Conference","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Angle-of-Departure-Aided Opportunistic Space-Division Multiple Access\",\"authors\":\"G. Dahman, R. Hafez\",\"doi\":\"10.1109/CNSR.2009.31\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a novel transmission technique for the multiple-input multiple-output (MIMO) broadcasting directional channels is introduced. During the training period, the base station sends a set of mutually orthogonal signals which enables each user to estimate the angle-of-departure of the anticipated strongest beam and the corresponding SNR. Then, the base station uses the reported angles-of-departure and SNRs to select a subgroup of users for data transmission in such a way that the sum capacity is maximized. Compared to the opportunistic space-division multiple access with beam selection algorithm [12], the advantage of the proposed algorithm is that it provides throughput gains up to 95% with low to medium number of users, under the same number of feedback bits. In addition to our new proposed algorithm, we introduce a modified version of the opportunistic space-division multiple access with beam selection algorithm, which shows a significant throughput improvement when evaluated using directional channel models such as WINNER.\",\"PeriodicalId\":103090,\"journal\":{\"name\":\"2009 Seventh Annual Communication Networks and Services Research Conference\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Seventh Annual Communication Networks and Services Research Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CNSR.2009.31\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Seventh Annual Communication Networks and Services Research Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CNSR.2009.31","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, a novel transmission technique for the multiple-input multiple-output (MIMO) broadcasting directional channels is introduced. During the training period, the base station sends a set of mutually orthogonal signals which enables each user to estimate the angle-of-departure of the anticipated strongest beam and the corresponding SNR. Then, the base station uses the reported angles-of-departure and SNRs to select a subgroup of users for data transmission in such a way that the sum capacity is maximized. Compared to the opportunistic space-division multiple access with beam selection algorithm [12], the advantage of the proposed algorithm is that it provides throughput gains up to 95% with low to medium number of users, under the same number of feedback bits. In addition to our new proposed algorithm, we introduce a modified version of the opportunistic space-division multiple access with beam selection algorithm, which shows a significant throughput improvement when evaluated using directional channel models such as WINNER.