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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种服务类别

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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 (Enhanced data rate for GSM evolution) system. The results show that, due to the burstiness of data traffic, traditional work-conserving packet scheduling algorithms such as weighted fair queueing cannot 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,以为突发数据流量提供多种服务类别。特别是,我们通过模拟类似于EDGE(GSM演进的增强数据速率)系统的分组蜂窝无线网络中的各种方案,研究了加权公平排队算法的性能。结果表明,由于数据流量的突发性,除非系统负载很重,否则传统的工作量大的数据包调度算法(如加权公平排队)无法达到所需的性能。即使使用优先级排队,也有类似的结果,这是加权公平排队的一种极端形式。我们还发现应尽力管理尽力而为流量,以避免网络的低效使用,尤其是在低容量蜂窝环境中。

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