{"title":"Time-varying fair queuing scheduling for multicode CDMA based on dynamic programming","authors":"A. Stamoulis, N. Sidiropoulos, G. Giannakis","doi":"10.1109/GLOCOM.2001.966333","DOIUrl":null,"url":null,"abstract":"Fair queuing (FQ) algorithms, which have been proposed for QoS wireline-wireless networking, rely on the fundamental idea that the service rate allocated to user m is proportional to a positive weight /spl phi//sub m/. Targeting wireless data networks with a multicode CDMA-based physical layer, we develop FQ with time-varying weight assignments in order to minimize the queuing delays of mobile users. Applying dynamic programming, we design a computationally efficient algorithm which produces the optimal service rates while obeying (i) constraints imposed by the underlying physical layer, and (ii) QoS requirements. Simulations illustrate the merits of our designs.","PeriodicalId":346622,"journal":{"name":"GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GLOCOM.2001.966333","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
Fair queuing (FQ) algorithms, which have been proposed for QoS wireline-wireless networking, rely on the fundamental idea that the service rate allocated to user m is proportional to a positive weight /spl phi//sub m/. Targeting wireless data networks with a multicode CDMA-based physical layer, we develop FQ with time-varying weight assignments in order to minimize the queuing delays of mobile users. Applying dynamic programming, we design a computationally efficient algorithm which produces the optimal service rates while obeying (i) constraints imposed by the underlying physical layer, and (ii) QoS requirements. Simulations illustrate the merits of our designs.