Dimensioning of traffic engineered trunks for deterministic service guarantees in mobile data networks

In light of enormous licensing cots for spectral resources, strict and tight QoS requirements apply in the wired infrastructure of mobile data networks in order to consume as much of the end-to-end QoS budget as possible on expensive radio links. Anticipating almost infinite wired capacity at negligible cost, the problem of cost effective resource management in the wired network infrastructure is often disregarded. Nevertheless, as long as the cost gain due to sophisticated resource management exceeds cost for additional capacity, it is worth to address this issue. Our work aims at tracking the aspect of appropriate dimensioning of traffic engineered paths subject to minimizing the consumed resources under the constraint of providing deterministic QoS guarantees. In particular, we propose a novel application of fuzzy logic control in order to dynamically adjust the resources assigned to one path to variations of traffic traversing that path. We design the required fuzzy sets and the according rule base of the controller and evaluate its asymptotic stability and performance. As controller input measurements of the traffic variation shall be averaged over a variable size window. We design a second fuzzy logic controller in order to adapt this averaging window, such that significant traffic variations are captured while the measurement overhead during periods of nearly time invariant traffic characteristics is reduced.