Optimización evolutiva y multiobjetivo de estrategias de gestión de movilidad en redes de telefonía móvil

Résumé

Mobile phone communications are one of the most influential technologies in today's society. In fact and according to the report made by the GSM Association in 2013, there will be approximately 3.9 billion of mobile subscribers in 2017, i.e. almost the half of the world population. In this kind of networks, the mobility management is a fundamental task which allows locating the exact zone in where the users are situated in order to properly redirect the incoming calls to the mobile stations. The research conducted in this PhD Thesis is a significant improvement over the state-of-the-art. Firstly, we propose the use of multiobjective optimization techniques in order to avoid the drawbacks associated with the linear aggregation of the objective functions, method used in the state-of-the-art. Furthermore, we analyze in a multiobjective way the behavior of different mobility management strategies. Experimental results show that the proposed metaheuristics are very competitive because they surpass the optimization techniques developed by other authors and, at the same time, they obtain very good sets of non-dominated solutions. Furthermore, we notice that each mobility management strategy has its own non-dominated region in the objective space. In this way, the network operator could select the network configuration that best meets its requirements. Finally, we show that the total signaling traffic can be reduced by about 69.35% if we use evolutionary optimization techniques and efficient paging procedures jointly.