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RATE CONTROL IN HIGH SPEED NETWORKS USING CONSTRAINED MODEL PREDICTIVE CONTROL

机译:使用约束模型预测控制的高速网络中的速率控制

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This paper studies rate based congestion control in high-speed communication networks using Model Predictive Control. A two layered structure is proposed. An upper layer for determining desired queue levels to be used by a lower level controller. Network traffic is assumed to consist of best-effort and high-priority traffic sources. Two controllers: one calculates the capacity for high-priority sources and the other calculates the input rate of best-effort sources, by tracking the desired queue level. Model Predictive Control takes into account the constraints on the finite buffer and input rate. MPC is deals well with systems with time delays.
机译:本文使用模型预测控制研究了高速通信网络中的基于速率的拥塞控制。提出了两个层叠结构。用于确定较低级控制器使用的所需队列级别的上层。假设网络流量由最佳努力和高优先级的流量来源组成。两个控制器:通过跟踪所需的队列级别来计算高优先级源的容量,并通过跟踪所需的队列级别来计算最佳措施的输入速率。模型预测控制考虑了有限缓冲区和输入速率的约束。 MPC与带时间延迟的系统很好。

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