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Providing multiple service classes for bursty data traffic in cellular networks

机译:为蜂窝网络中的突发数据流量提供多个服务类

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This paper evaluates the use of packet scheduling to provide multiple service classes for bursty data traffic. In particular, we study the performance of the weighted fair queueing algorithm by simulating various scenarios in a packet cellular wireless network similar to an EDGE system. The results show that, due to the burstiness of data traffic, traditional work-conserving packet scheduling algorithms such as weighted fair queueing can not achieve the desired performance unless the system is heavily loaded. Similar results hold even when using priority queueing, which is an extreme form of weighted fair queueing. We also find that best effort traffic should be managed carefully to avoid inefficient usage of the network, especially in a low capacity cellular environment.
机译:本文评估了数据包调度的使用,为突发数据流量提供多个服务类。特别地,我们通过在类似于边缘系统的分组蜂窝无线网络中模拟各种场景来研究加权公平排队算法的性能。结果表明,由于数据流量的突发,除非系统大量加载,否则诸如加权公平排队等传统工作节省的数据包调度算法,否则无法达到所需的性能。即使在使用优先级排队时,也存在类似的结果,这是一种重量展览的极端形式。我们还发现应仔细管理最佳努力,以避免网络的低效使用,特别是在低容量蜂窝环境中。

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