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

Marco Sousa, Andre Martins, Pedro Vieira


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%.


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

Full Text:



M. Sousa, A. Martins and P. Vieira. Self-Diagnosing Low Coverage and

High Interference in 3G/4G Radio Access Networks based on Automatic

RF Measurement Extraction. In Proceedings of the 13th International

Joint Conference on e-Business and Telecommunications, pages 31-39,

Lisbon, Portugal, 2016.

M. Sousa, A. Martins, P. Vieira, N. Oliveira and A. Rodrigues. Caracterizacao

da Fiabilidade de Medidas R´adio em Larga Escala para Redes

Auto-Otimizadas. In 9. Congresso do Comite Portuges da URSI - ”5G e

a Internet do futuro, Lisbon, December, 2015.

J. Snchez-Gonzlez, O. Sallent, J. Prez-Romero and R. Agust. A

comparison of different optimisation search methodologies for selfoptimisation

in wireless cellular networks. In Wireless and Mobile

Networking Conference (WMNC), 2013 6th Joint IFIP, pages 1-8, April,

P. Vieira, N. Varela, N. Fernandes, N. Guedes, L. Varela and N. Ribeiro A

SON enhanced algorithm for observed time differences based geolocation

in real 3G networks. In Wireless Personal Multimedia Communications

(WPMC), 2013 16th International Symposium, June, 2013.


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