{"title":"A novel multi-radio packet scheduling algorithm for real-time traffic on generic link layer","authors":"Yang Cui, Yubin Xu, X. Sha, Rongqing Xu, Zhe Ding","doi":"10.1109/APCC.2009.5375675","DOIUrl":null,"url":null,"abstract":"In this paper, a novel multi-radio packet scheduling algorithm, QU, is proposed for real-time traffic on generic link layer (GLL). First, a scheduling-utility function is designed to represent the utility of scheduling a packet to a radio access with the goal to guarantee QoS and improve spectrum utilization. Second, using this utility function, a multi-radio packet scheduling model is presented based on joint consideration of QoS, fairness and spectrum efficiency, while the solution for this model is NP problem; Finally, Hopfield neural network (HNN) is used to fast and efficiently find an optimal solution for the scheduling model. Simulation results show that, compared with M-LWDF and PLR algorithms, QU algorithm has lower packet loss ratio and higher spectrum efficiency while could meet the allowable maximum delay requirement.","PeriodicalId":217893,"journal":{"name":"2009 15th Asia-Pacific Conference on Communications","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 15th Asia-Pacific Conference on Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APCC.2009.5375675","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
In this paper, a novel multi-radio packet scheduling algorithm, QU, is proposed for real-time traffic on generic link layer (GLL). First, a scheduling-utility function is designed to represent the utility of scheduling a packet to a radio access with the goal to guarantee QoS and improve spectrum utilization. Second, using this utility function, a multi-radio packet scheduling model is presented based on joint consideration of QoS, fairness and spectrum efficiency, while the solution for this model is NP problem; Finally, Hopfield neural network (HNN) is used to fast and efficiently find an optimal solution for the scheduling model. Simulation results show that, compared with M-LWDF and PLR algorithms, QU algorithm has lower packet loss ratio and higher spectrum efficiency while could meet the allowable maximum delay requirement.