Modelagem, previsão de séries de tráfego e controle estatístico de indicadores de qualidade em redes celulares

Abstract

he cellular networks evolution lead to a growth in the number of users that resulted in the increment of network elements, which must have enough capacity and efficiently monitored key performance indicators. This research proposes the application of Autoregressive Integrated Moving Average models in the identification and prediction of traffic time series in the Base Station Subsystem entities, in order to support the proactive capacity extension process. Another approach verifies the applicability of Shewhart control charts in the sector performance indicators monitoring, in order to detect failures through the process tendency disturbance.