The current LTE and LTE-A deployments require larger efforts to achieve the radio resource manage
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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
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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.
