2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC) 2015
DOI: 10.1109/pimrc.2015.7343598
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Robust congestion control for TCP/AQM using integral backstepping control

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Cited by 10 publications
(3 citation statements)
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“…Analytical results demonstrated that the procedure can effectively stabilise the system and can control the queue length to the desired value through the control input signal (26). To illustrate the efficacy, the proposed procedure is compared to some other procedures such as IBS [27], which is a non‐linear robust procedure for the networks with the non‐singularity condition, finite‐frequency AQM (FFAQM) [13], which is proposed robustly to a new AQM model with time‐varying capacity, proportional–integral (PI) [34] and random early detection (RED) [34], which are famous protocols in communication networks. Since the network model, which is considered in [13] to design the procedure, is different from the assumed model in this study, FFAQM is compared to the others via NS2, which operates as a real network.…”
Section: Simulation Resultsmentioning
confidence: 99%
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“…Analytical results demonstrated that the procedure can effectively stabilise the system and can control the queue length to the desired value through the control input signal (26). To illustrate the efficacy, the proposed procedure is compared to some other procedures such as IBS [27], which is a non‐linear robust procedure for the networks with the non‐singularity condition, finite‐frequency AQM (FFAQM) [13], which is proposed robustly to a new AQM model with time‐varying capacity, proportional–integral (PI) [34] and random early detection (RED) [34], which are famous protocols in communication networks. Since the network model, which is considered in [13] to design the procedure, is different from the assumed model in this study, FFAQM is compared to the others via NS2, which operates as a real network.…”
Section: Simulation Resultsmentioning
confidence: 99%
“…Remark 1 The RTT value and number of the users can be considered to be constant in a relative long time, refer to [6, 8, 9, 27, 30, 33, 34]. Moreover, the bottleneck link capacity is assumed to be a nominal value (C0) together with variations caused by fading effects in a wireless access network (δCfalse(tfalse)).…”
Section: Fluid Flow Model For a Tcp/aqm Networkmentioning
confidence: 99%
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