{"title":"Joint Resource Reservation and Flow Scheduling for Ultra-Low-Latency Transmission","authors":"Guolin Sun, Dawit Kefyalew, Guisong Liu","doi":"10.1109/LCN.2016.44","DOIUrl":null,"url":null,"abstract":"In recent times, there has been an increase in the number of mobile devices to access a variety of services on radio access network, and the trend is expected to continue. In addition, ultra-low latency services require much bandwidth and often characterized by having extremely short delay constraints. Hence, satisfying required strong QoS requirement becomes challenging task. Existing scheduling methods to solve this problem exhibit very poor performance in terms of transmission latency. In this paper, a scheduling-based resource reservation mechanism is proposed for cloud UE. Unlike other methods, the proposed algorithm in this paper considers various traffic parameters to calculate the effective bandwidth of the flow and always gives priority to delay sensitive flows under a software defined network framework. Simulation results show that the proposed scheduling algorithm improves the average throughput of ultra-low latency flows.","PeriodicalId":6864,"journal":{"name":"2016 IEEE 41st Conference on Local Computer Networks (LCN)","volume":"180 1","pages":"208-211"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 41st Conference on Local Computer Networks (LCN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LCN.2016.44","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
In recent times, there has been an increase in the number of mobile devices to access a variety of services on radio access network, and the trend is expected to continue. In addition, ultra-low latency services require much bandwidth and often characterized by having extremely short delay constraints. Hence, satisfying required strong QoS requirement becomes challenging task. Existing scheduling methods to solve this problem exhibit very poor performance in terms of transmission latency. In this paper, a scheduling-based resource reservation mechanism is proposed for cloud UE. Unlike other methods, the proposed algorithm in this paper considers various traffic parameters to calculate the effective bandwidth of the flow and always gives priority to delay sensitive flows under a software defined network framework. Simulation results show that the proposed scheduling algorithm improves the average throughput of ultra-low latency flows.