{"title":"An approach to crosslayer QoS management in MISO systems","authors":"B. Zerlin, J. Nossek","doi":"10.1109/ISSPIT.2005.1577140","DOIUrl":null,"url":null,"abstract":"We study the crosslayer problem of joint optimization of radio parameters in a multiuser MISO system with partial channel state information at the transmitter. The central optimization problem within is formulated as a power minimization subject to a set of QoS constraints. Based upon analytical models for all regarded sublayers and the formulation of the resulting channel outage probability of the MISO system, the mode of operation and the MISO transmit processing are optimized jointly in an fast converging iterative scheme. With these results service requests from different users can be met with a significantly lower amount of resources, resulting in a higher system capacity","PeriodicalId":421826,"journal":{"name":"Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005.","volume":"112 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPIT.2005.1577140","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We study the crosslayer problem of joint optimization of radio parameters in a multiuser MISO system with partial channel state information at the transmitter. The central optimization problem within is formulated as a power minimization subject to a set of QoS constraints. Based upon analytical models for all regarded sublayers and the formulation of the resulting channel outage probability of the MISO system, the mode of operation and the MISO transmit processing are optimized jointly in an fast converging iterative scheme. With these results service requests from different users can be met with a significantly lower amount of resources, resulting in a higher system capacity