Publicação

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

Detalhes bibliográficos
Resumo:	This paper presents a new single cell multi-objectiveoptimization algorithm. The objective is to optimize areas oflow coverage and high interference simultaneously, through theadjustment of the antenna tilts and/or antenna orientation. Theprocess is achieved using a specific implementation of a ParticleSwarm Optimization (PSO) algorithm. Both the detection ofsub-optimal performance areas and its subsequent optimizationare supported by Drive Test (DT) data and network topologyinformation. The antenna optimization algorithm was tested withreal data in 3rd Generation (3G)/4th Generation (4G) networks.In this work, a 3G urban scenario is highlighted, achieving anaverage optimization gain of 78%.
Autores principais:	Sousa, Marco
Outros Autores:	Martins, Andre; Vieira, Pedro
Assunto:	Telecommunications SON, Self-optimization, Particle Swarm Optimization, Antenna Tilt
Ano:	2018
País:	Portugal
Tipo de documento:	artigo
Tipo de acesso:	unknown
Instituição associada:	Instituto Superior de Engenharia de Lisboa
Idioma:	inglês
Origem:	i-ETC : ISEL Academic Journal of Electronics Telecommunications and Computers

Descrição
Resumo:	This paper presents a new single cell multi-objectiveoptimization algorithm. The objective is to optimize areas oflow coverage and high interference simultaneously, through theadjustment of the antenna tilts and/or antenna orientation. Theprocess is achieved using a specific implementation of a ParticleSwarm Optimization (PSO) algorithm. Both the detection ofsub-optimal performance areas and its subsequent optimizationare supported by Drive Test (DT) data and network topologyinformation. The antenna optimization algorithm was tested withreal data in 3rd Generation (3G)/4th Generation (4G) networks.In this work, a 3G urban scenario is highlighted, achieving anaverage optimization gain of 78%.

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