The influence of interference networks in QoS parameters in a WLAN 802.11g environment
This paper proposes a strategy to determine how much a given network can affect the QoS parameters of another, by interference. In order to achieve this, a measurement campaign was carried out in two stages: firstly with a single AP and later with two APs separated by a distance less than three meters, using the same channel. After the measurement, an analysis of the results and a set of inferences were made by using Bayesian Networks, whose inputs were the experimental data, i.e. QoS metrics such as: throughput, jitter, packet loss, PMOS and physical metrics like power and distance.
Abstract A modification of the quasi-normal theory is proposed for the study of inhomogeneous turbulent flows. In this approximation realizability conditions for third-order correlations are enforced. These conditions are based on generalized Schwarz' inequalities which limit the growth of triple correlations and the approximation consists in “clipping” these last quantities when they violate their respective inequalities. By requiring that the inequalities be satisfied, we take into account the damping effect of fourth-order correlations. The equations corresponding to this approximation are derived for the case of inhomogeneous turbulence in a Boussinesq fluid with the aid of a recently proposed hypothesis for pressure correlation terms.