WiMAX traffic analysis and base stations classification in terms of LRD

Abstract

The goal of this paper is to highlight the particularities of Worldwide Interoperability for Microwave Access (WiMAX) traffic from a long‐range dependence perspective. The application presented in this paper consists in the estimation of the quality of base stations (BS) positioning in the architecture of a WiMAX network. Analysing the traffic of the considered WiMAX network, with an original data mining methodology based on long‐range dependence, we determine which BS have a correct position in the topology of the network and which BS have an incorrect position. These BS must be repositioned when the next session of the network maintenance will take place.

Modern network traffic modeling based on binomial multiplicative cascades

“…Statistical properties of multiplicative cascades have been widely studied in a number of papers [17,18]. In this work, we establish some of those statistical properties in function of a set of 2 N synthetic samples under our cascade multifractal modeling type by assuming:…”

Knowledge Discovery and Business Intelligence

“…The paper of Stolojescu et al . () proposes an original KD methodology for the telecommunications domain. In particular, a long range dependence perspective is used to estimate the quality of base stations positioned within a wireless network that uses the new WiMAX communication technology.…”