%0 Journal Article 
%T Machine learning algorithms for inter-cell interference coordination
%D 2018
%@ 1692-5238
%U http://repository.icesi.edu.co/biblioteca_digital/handle/10906/84498
%X The current LTE and LTE-A deployments require larger efforts to achieve the radio resource manage
-
ment. This, due to the increase of  users and the constantly growing demand of  services. For this reason, the automatic op
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timization is a key point to avoid issues such as the inter-cell interference. This paper presents several proposals of  machi
-
ne-learning algorithms focused on this automatic optimization problem. The research works seek that the cellular systems 
achieve their self-optimization, a key concept within the self-organized networks, where the main objective is to achieve 
that the networks to be capable to automatically respond to the particular needs in the dynamic network traffic scenarios.
%K Algoritmos
%K Aprendizaje automático
%K Redes
%K Gestión de recursos
%K Sistemas celulares
%~ GOEDOC, SUB GOETTINGEN