Observatorio de I+D+i UPM

Descripción
In enterprise scenarios, multi-femtocell deployments can be carried out to improve indoor services performance. In this environment, a detailed cell planning can be made in order to optimize network performance. To solve optimization problems in wireless networks, many techniques have been proposed, typically taking the number of base stations to be deployed as an input to the automatic planning process or including them as a fixed cost to assess fitness value. In this paper, a novel genetic algorithm for computer aided optimization of multi-femtocell deployments is presented, assuming that the optimal number of femtocells to fulfill design constraints is unknown. This novel genetic approach is demonstrated using a multi-objective multi-femtocell deployment in a typical enterprise scenario.
Internacional	Si
Nombre congreso	19th International Conference on Systems, Signals and Image Processing (IWSSIP)
Tipo de participación	960
Lugar del congreso	Vienna, Austria
Revisores	Si
ISBN o ISSN	978-3-200-02588-2
DOI
Fecha inicio congreso	11/04/2012
Fecha fin congreso	13/04/2013
Desde la página	275
Hasta la página	278
Título de las actas	Proceedings

Esta actividad pertenece a memorias de investigación

• Autor: Mariano Molina García (UPM)
• Autor: Jaime Calle Sanchez (UPM)
• Autor: Alfonso Fernández Durán (Alcatel - Lucent)
• Autor: Jose Ignacio Alonso Montes (UPM)

• Creador: Grupo de Investigación: Microondas y Radar
• Departamento: Señales, Sistemas y Radiocomunicaciones