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- W87091806 abstract "In the development of high speed communication network, the burst state and diversity of network traffic make it difficult to achieve QoS of network. This paper proposes a network adaptive congestion control method, where the fuzzy reference model mechanism is integrated to improve the adaptive performance of AQM in the burst network. The control system is integrated with the reference model to implement the fuzzy back-loop inference learning algorithm, and adjust the control behavior of the primary control channel following the network burst state. Simulation results show that the proposed method improves the performance of the congestion control system greatly, and makes a better trade-off between the adaptive performance and real-time performance." @default.
- W87091806 created "2016-06-24" @default.
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- W87091806 date "2008-01-01" @default.
- W87091806 modified "2023-09-28" @default.
- W87091806 title "Network Adaptive Congestion Control Based on Fuzzy Reference Model Mechanism" @default.
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