超低延迟传输的联合资源预留与流调度

Guolin Sun, Dawit Kefyalew, Guisong Liu
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引用次数: 0

摘要

近年来,在无线接入网上访问各种服务的移动设备数量有所增加,预计这一趋势将继续下去。此外,超低延迟服务需要大量带宽,并且通常具有极短的延迟约束。因此,满足所要求的强QoS要求成为一项具有挑战性的任务。解决此问题的现有调度方法在传输延迟方面表现出非常差的性能。本文提出了一种基于调度的云终端资源预留机制。与其他方法不同,本文提出的算法在软件定义的网络框架下,考虑各种流量参数来计算流的有效带宽,并始终优先考虑延迟敏感的流。仿真结果表明,该调度算法提高了超低延迟流的平均吞吐量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Joint Resource Reservation and Flow Scheduling for Ultra-Low-Latency Transmission
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.
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