  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.
