MODELOS DE OTIMIZAÇÃO PLIM-FUZZY PARA O DIMENSIONAMENTO DE REDE E SELEÇÃO DE SERVIÇOS EM TELECOMUNICAÇÕES.

Abstract

Telecommunications experience accelerated evolution. The environment is very competitive and the volume of financial resources involved is significant. The variety of available technologies makes system planning stage, a procedure not only desirable but necessary, especially in a competitive environment. The use of comprehensive and flexible methodologies that can assist in decision-making, based on mathematical optimization models, it seems an inevitable way. This paper presents mathematical models based on operational research, mixed integer linear programming (MILP) and fuzzy logic to assist in strategic planning and decision-making, for the telecommunications industry, where they are analyzed, discussed and applied optimization models approach node-arc and arc-path. The analysis is focused on minimizing the cost given the expected demand. The main network components, services and costs are identified and models are developed to determine the network configuration or service. The models allow for greater flexibility and a high degree of interaction with the planner. These characteristics make it possible to analyze various scenarios where there is inaccuracy, both for the selection of services and for network deployment. To ensure the practical validation of the methodology, results of computational experiments are presented and discussed. Noteworthy are the results: (1) the possibility of holding a multi-service planning, with the possibility of assigning priorities in the services and care (2) effectiveness of the model for network deployment, which revealed a gain of 2% in the optimal solution in a test instance of SNDlib repository.