{"title":"Cross-layer QoS management in scheduled multi-user systems","authors":"B. Zerlin, J. Nossek","doi":"10.1109/SPAWC.2005.1506079","DOIUrl":null,"url":null,"abstract":"Through the joint optimization of physical (PHY) and media access control (MAC) layer instances, the transmit power, that is necessary to serve given user requirements on throughput and delay, can be minimized. This article shows, how top-down cross-layer optimization can be extended to scheduled multi-user systems, by formulating analytical expressions for the relevant quality of service (QoS) parameters in systems with round robin (RRS), maximum throughput (MTS), and proportional fair scheduling (PFS). Based on this stochastic description, the power optimal mode of operation and the minimum transmit powers can be determined providing low complexity means for QoS management, that can be employed to maximize the system capacity.","PeriodicalId":273666,"journal":{"name":"IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005.","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPAWC.2005.1506079","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Through the joint optimization of physical (PHY) and media access control (MAC) layer instances, the transmit power, that is necessary to serve given user requirements on throughput and delay, can be minimized. This article shows, how top-down cross-layer optimization can be extended to scheduled multi-user systems, by formulating analytical expressions for the relevant quality of service (QoS) parameters in systems with round robin (RRS), maximum throughput (MTS), and proportional fair scheduling (PFS). Based on this stochastic description, the power optimal mode of operation and the minimum transmit powers can be determined providing low complexity means for QoS management, that can be employed to maximize the system capacity.