Abstract
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.
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