Mitigação de interferência em redes de próxima geração utilizando técnicas de clusterização e inteligência computacional

Abstract

Due to the success of broadband networks and the growing use of smartphones, mobile operators are in search to offer the same standard of wired network services, such as speed and stability, to wireless users and thus new technologies have emerged, among them there are the Small Cells. These are small radio base stations that in relation to the macrocells present a much lower cost, however, offer a smaller space of coverage. Therefore, in a scenario where a large amount of this equipment will be installed, usually called DenseNets or dense networks, and this implementation is not carried out based on a suitable planning, numerous problems can arise, among them the co-channel interference, that in some situations, makes any type of information exchange impossible. For this reason, the model proposed in this thesis intends to assist the project analysts and solution architects in the planning of dense networks, offering, based on the information about the locations of the Small Cells, which frequency bands are appropriate for the use of each one, that so the new applications, supported by smartphones, do not suffer a degradation of signal to the point that their functions are not executed and there is an increase in the quality of the services that are offered to the users of these networks. In the tests carried out, the model showed an improvement in the traffic in more than 80% of the Small Cells, reduced the value of the delay of the switched packets and also collaborated to reduce the number of discarded packets. Nevertheless, we also analyzed the performance of the battery modules of mobile devices when the model was employed and it was noticed that it did not increase the battery consumption of these devices.