Self-Optimization of Low Coverage and High Interference in Real 3G/4G Radio Access Networks

Abstract

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%.

Keywords

• SON, Self-optimization, Particle Swarm Optimization, Antenna Tilt