CDR Based Trajectories: Tentative for Filtering Ping-pong Handover

TL;DR

This paper introduces a novel filtering method for CDR-based trajectories to reduce ping-pong handover noise, improving the accuracy of customer mobility pattern reconstruction.

Contribution

It proposes an anchors model approach utilizing features from coverage areas and trajectories to effectively filter ping-pong handovers in CDR data.

Findings

Significantly reduces ping-pong handover noise in trajectories

Enhances accuracy of mobility pattern reconstruction

Demonstrates effectiveness on real CDR datasets

Abstract

Call Detail Records (CDRs) coupled with the coverage area locations provide the operator with an incredible amount of information on its customers' whereabouts and movement. Due to the non-static and overlapping nature of the antenna coverage area there commonly exist situations where cellphones geographically close to each other can be connected to different antennas due to handover rule - the operator hands over a certain cellphone to another antenna to spread the load between antennas. Hence, this aspect introduces a ping-pong handover phenomena in the trajectories extracted from the CDR data which can be misleading in understanding the mobility pattern. To reconstruct accurate trajectories it is a must to reduce the number of those handovers appearing in the dataset. This letter presents a novel approach for filtering ping-pong handovers from CDR based trajectories. Primarily, the approach is based on anchors model utilizing different features and parameters extracted from the coverage areas and reconstructed trajectories mined from the CDR data. Using this methodology we can significantly reduce the ping-pong handover noise in the trajectories, which gives a more accurate reconstruction of the customers' movement pattern.