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Efficient batch-arrival queueing model for QoS-aware packet scheduling in WiMAX networks

机译:WiMAX网络中QoS感知数据包调度的高效批量到达队列模型

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WiMAX is a well-known and mature broadband wireless access technology that supports multimedia transmission users. IEEE 802.16e has evolved into five quality of service (QoS) scheduling types for WiMAX data transmission. Many efforts are being made to create WiMAX packet scheduling schemes. In this paper I propose an efficient batch-arrival queueing model to evaluate a QoS-aware packet scheduling system and to derive three performance measures—packet loss rate (PLR), queueing delay (QD) and bandwidth utilization (BU). Then the measures are adopted to solve a utilization optimization problem by given QoS constraints. Specifically, a given traffic statistic and specified maximum PLR and QD constraints are applied to optimize BU for a classified packet scheduling buffer in a base station. Operators can use the results to set optimized scheduling buffer size dynamically and to improve their profit while the QoS constraints are concerned. I hope that the proposed model has utility in the operation of WiMAX networks.
机译:WiMAX是一种众所周知的和成熟的宽带无线接入技术,支持多媒体传输用户。 IEEE 802.16E已演变为WiMAX数据传输的五种服务质量(QoS)调度类型。正在进行许多努力来创建WiMAX数据包调度方案。在本文中,我提出了一种有效的批量到达排队模型来评估QoS感知分组调度系统,并推导出三个性能测量 - 丢包率(PLR),排队延迟(QD)和带宽利用率(BU)。然后采取措施来通过给定的QoS限制来解决利用优化问题。具体地,应用给定的流量统计和指定的最大PLR和QD约束来优化基站中的分类分组调度缓冲器。操作员可以使用结果动态设置优化的调度缓冲区大小,并在QoS限制涉及时提高其利润。我希望所提出的模型在WiMAX网络的运行中具有效用。

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