Christos N. Houmkozlis

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The recently proposed neural network rate control (NNRC) framework that achieves queueing delay and queue length regulation, is expanded to further guarantee fair allocation of network resources among competing sources. This is possible by introducing a novel algorithm that controls in a stable and adaptive manner the number of communication channels in(More)
A new TCP-like protocol is proposed in this paper aiming at regulating the packet round trip to satisfy a user imposed desired application sending time. For this purpose linear in the weights neural networks are employed to construct an on-line model for the estimated round trip depending on source rate (control input) and congestion level which is directly(More)
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