{"title":"MU-MIMO上行蜂窝网络的最优调度","authors":"Md Zobaarul Haque, M. T. Islam, M. Uddin","doi":"10.1109/ICECE.2014.7026889","DOIUrl":null,"url":null,"abstract":"In this paper, the optimal scheduling problem is studied in multi-user MIMO (MU-MIMO) single-hop uplink cellular networks. An optimization framework is developed to compute the optimal max-min throughput and the optimal scheduling of the users. The optimization problem is found to be a very complex linear program. The optimization problem is solved for several medium size cellular networks using an optimization tool. The numerical results show that MU-MIMO technique provides a significant throughput gain over SU-MIMO technique. To avoid the complexity of computation and implementation, a user grouping based simple scheduling algorithm is also proposed for MU-MIMO cellular networks. The performance of the proposed algorithm is evaluated and found to be very efficient.","PeriodicalId":335492,"journal":{"name":"8th International Conference on Electrical and Computer Engineering","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Optimal scheduling in MU-MIMO uplink cellular networks\",\"authors\":\"Md Zobaarul Haque, M. T. Islam, M. Uddin\",\"doi\":\"10.1109/ICECE.2014.7026889\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the optimal scheduling problem is studied in multi-user MIMO (MU-MIMO) single-hop uplink cellular networks. An optimization framework is developed to compute the optimal max-min throughput and the optimal scheduling of the users. The optimization problem is found to be a very complex linear program. The optimization problem is solved for several medium size cellular networks using an optimization tool. The numerical results show that MU-MIMO technique provides a significant throughput gain over SU-MIMO technique. To avoid the complexity of computation and implementation, a user grouping based simple scheduling algorithm is also proposed for MU-MIMO cellular networks. The performance of the proposed algorithm is evaluated and found to be very efficient.\",\"PeriodicalId\":335492,\"journal\":{\"name\":\"8th International Conference on Electrical and Computer Engineering\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"8th International Conference on Electrical and Computer Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICECE.2014.7026889\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"8th International Conference on Electrical and Computer Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECE.2014.7026889","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal scheduling in MU-MIMO uplink cellular networks
In this paper, the optimal scheduling problem is studied in multi-user MIMO (MU-MIMO) single-hop uplink cellular networks. An optimization framework is developed to compute the optimal max-min throughput and the optimal scheduling of the users. The optimization problem is found to be a very complex linear program. The optimization problem is solved for several medium size cellular networks using an optimization tool. The numerical results show that MU-MIMO technique provides a significant throughput gain over SU-MIMO technique. To avoid the complexity of computation and implementation, a user grouping based simple scheduling algorithm is also proposed for MU-MIMO cellular networks. The performance of the proposed algorithm is evaluated and found to be very efficient.