Análisis de la asignación de frecuencias como problema real en las redes de telecomunicaciones

In this research a real problem of telecommunications networks is analyzed, we intend to apply Meta heuristic techniques to problems of frequency allocation, using the algorithm Ant System (AS) in scenarios that simulate a GSM cellular network. The telecommunications industry has provided, and conti...

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Detalles Bibliográficos
Autor: Zhuma Mera, Emilio Rodrigo
Tipo de recurso: tesis de maestría
Estado:Versión publicada
Fecha de publicación:2015
País:Ecuador
Institución:Universidad Técnica Estatal de Quevedo
Repositorio:Repositorio Universidad Técnica Estatal de Quevedo
Idioma:español
OAI Identifier:oai:repositorio.uteq.edu.ec:43000/1596
Acceso en línea:http://repositorio.uteq.edu.ec/handle/43000/1596
Access Level:acceso abierto
Palabra clave:Asignación de frecuencias
Problema real
Redes de telecomunicaciones
Algoritmo Ant System (AS)
Algoritmo de Colonia de hormigas ACO
Red celular GSM
Descripción
Sumario:In this research a real problem of telecommunications networks is analyzed, we intend to apply Meta heuristic techniques to problems of frequency allocation, using the algorithm Ant System (AS) in scenarios that simulate a GSM cellular network. The telecommunications industry has provided, and continues to provide, a lot of optimization problems that arise from the design of the communication system itself to some aspects of its operation and here are the Meta heuristic procedures which are a class of approximate methods they are designed to solve complex optimization problems, where the classic heuristics are not effective. The meta-heuristics provide a general framework to create new hybrid algorithms combining different concepts derived from artificial intelligence. Our research is based on comparing a simulated algorithm ACO ant colony with other algorithms used in the allocation of frequencies and analyze environment if the results are competitive with other algorithms. With all this we want to reach a mathematical modeling of optimization based on ant algorithms (ACO) for assignment of frequencies.