This paper presents a new single cell multi-objective
optimization algorithm. The objective is to optimize areas of
low coverage and high interference simultaneously, through the
adjustment of the antenna tilts and/or antenna orientation. The
process is achieved using a specific implementation of a Particle
Swarm Optimization (PSO) algorithm. Both the detection of
sub-optimal performance areas and its subsequent optimization
are supported by Drive Test (DT) data and network topology
information. The antenna optimization algorithm was tested with
real data in 3rd Generation (3G)/4th Generation (4G) networks.
In this work, a 3G urban scenario is highlighted, achieving an
average optimization gain of 78%.