Novo Autômato celular multicamadas para posicionamento de células voadoras em redes móveis 5G auto-organizáveis.

Abstract

The fifth generation of cellular mobile networks (5G) will have a profound impact on the development of smart cities. Issues such as "How telecommunications operators will efficiently provide network infrastructure", "When and where service quality parameters are degraded or below expectations" should be considered. In this context, the use of base stations carried by Unmanned Aerial Vehicles (UAV) acting as flying cells to compensate the service of mobile networks in areas where telecommunications systems are challenged by abnormal conditions during their operation has attracted attention. This thesis presents an intelligent solution based on a new Multilayer Cellular Automaton to solve the problem of efficient positioning of flying cells in wireless networks and, consequently, increase the capacity of the network during temporary situations of heavy traffic, such as in congested avenues during some hours of the day, overcrowded events, disaster situations or hotspot traffic. In this new distributed approach, all base stations carried by UAVs operate in parallel. Self-organization arises from an emerging pattern based on the application of simple rules in a defined neighborhood. The proposed methodology considers restrictions on wireless backhaul and radio resources. The model is described to support multiple UAVs and multiple users, with different mobility characteristics and quality of service requirement. The performance evaluation of the proposed method is performed by means of discrete computer simulation, using MATLAB software. The proposed algorithm was compared with two other algorithms based on Genetic Algorithm and a fixed positioning scheme. Results showed that the proposed method has a favorable performance in comparison with the other tested methods in terms of the performance metrics considered. Thus, the simulated experiments show the benefits of the proposed solution for the fast and efficient positioning of several flying base stations to respond in real time to urgent changes in the network.