首页> 外文会议>Global Telecommunications Conference, 2009. GLOBECOM 2009 >A Nonlinear-Predictive QoS-Promoted Dynamic Bandwidth Allocation Scheme for Triple-Play Services in Ethernet Passive Optical Networks
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A Nonlinear-Predictive QoS-Promoted Dynamic Bandwidth Allocation Scheme for Triple-Play Services in Ethernet Passive Optical Networks

机译:以太网无源光网络中用于三重播放服务的非线性预测QoS促进的动态带宽分配方案

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This paper proposes a nonlinear-predictive QoS-promoted dynamic bandwidth allocation (NQ-DBA) scheme for upstream transmission in Ethernet passive optical network (EPON) systems. The proposed NQ-DBA scheme divides incoming packets of voice, video, data service into six priorities, whereas packets having less room before QoS requirements violation will be dynamically promoted to high priority. It predicts packets arriving at a prediction interval for ONUs using a nonlinear pipelined structure of recurrent neural network (RNN) with extended recursive least squares (ERLS) update so that the bandwidth allocation can be more up-to-date and then accurate. Simulation results show that the proposed NQ-DBA scheme achieves higher system utilization than the DBAM scheme by 4%, and 21%, 90%, 43%, respectively.
机译:本文针对以太网无源光网络(EPON)系统中的上行传输提出了一种非线性预测QoS促进的动态带宽分配(NQ-DBA)方案。提出的NQ-DBA方案将语音,视频,数据服务的传入数据包划分为六个优先级,而在违反QoS要求之前具有较小空间的数据包将被动态提升为高优先级。它使用具有扩展的递归最小二乘(ERLS)更新的递归神经网络(RNN)的非线性流水线结构来预测到达ONU的预测间隔的数据包,从而使带宽分配可以更加最新,然后更加准确。仿真结果表明,所提出的NQ-DBA方案比DBAM方案具有更高的系统利用率,分别为4%,21%,90%,43%。

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