With the increasing complexity of current networks,
it became evident the need for Self-Organizing Networks (SON),
which aims to automate most of the associated radio planning
and optimization tasks. Within SON, this paper aims to optimize
the Neighbour Cell List (NCL) for Long Term Evolution
(LTE) evolved NodeBs (eNBs). An algorithm composed by three
decisions were were developed: distance-based, Radio Frequency
(RF) measurement-based and Handover (HO) stats-based. The
distance-based decision, proposes a new NCL taking account
the eNB location and interference tiers, based in the quadrants
method. The last two algorithms consider signal strength measurements
and HO statistics, respectively; they also define a ranking
to each eNB and neighbour relation addition/removal based
on user defined constraints. The algorithms were developed and
implemented over an already existent radio network optimization
professional tool. Several case studies were produced using real
data from a Portuguese LTE mobile operator.