Traffic Hotspot localization in 3G and 4G wireless networks using OMC metrics

摘要

In recent years, there has been an increasing awareness to trafficlocalization techniques driven by the emergence of heterogeneous networks(HetNet) with small cells deployment and the green networks. The localizationof hotspot data traffic with a very high accuracy is indeed of great interestto know where the small cells should be deployed and how can be managed forsleep mode concept. In this paper, we propose a new traffic localizationtechnique based on the combination of different key performance indicators(KPI) extracted from the operation and maintenance center (OMC). The proposedlocalization algorithm is composed with five main steps; each one correspondsto the determination of traffic weight per area using only one KPI. These KPIsare Timing Advance (TA), Angle of Arrival (AoA), Neighbor cell level, the loadof each cell and the Harmonic mean throughput (HMT) versus the Arithmetic meanthroughput (AMT). The five KPIs are finally combined by a function taking asvariables the values computed from the five steps. By mixing such KPIs, we showthat it is possible to lessen significantly the errors of localization in ahigh precision attaining small cell dimensions.