Machine learning algorithms for inter-cell interference coordination

  • Omar Albeiro Trejo Narváez Universidad del Cauca - Popayán
  • Víctor Fabián Miramá Pérez Universidad del Cauca, Popayán
Keywords: Machine learning; self-organization; ICIC; LTE.

Abstract

The current LTE and LTE-A deployments require larger efforts to achieve the radio resource management. This, due to the increase of users and the constantly growing demand of services. For this reason, the automatic optimization is a key point to avoid issues such as the inter-cell interference. This paper presents several proposals of machine-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.

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Author Biographies

Omar Albeiro Trejo Narváez, Universidad del Cauca - Popayán

Engineer in Electronic and Telecommunications (2008) and Specialist in Network and Telematics Services (2011) form the Universidad del Cauca (Popayan, Colombia). He is a Master in Electronic and Telecommunications’ student and member of New Technologies in Telecommunications Research Group [GNTT] at the Universidad del Cauca. He is full professor at the Basic Sciences, Technology and Engineering School and member of the Research Group in Technological Development [GIDESTEC] at the Universidad Abierta y a Distancia [UNAD]. His main areas of interest are electronics and telecommunications with emphasis in telematics networks management, next generation networks and electric circuits labs. 

Víctor Fabián Miramá Pérez, Universidad del Cauca, Popayán

Engineer in Electronic and Telecommunications (2008) and Master in Electronics and Telecommunications  (2013) from the Universidad del Cauca (Popayán, Colombia). Professor at the Telecommunications Department and member of the New Technologies in Telecommunications Research Group [GNTT] and the Radio and Wireless Group [GRIAL] at the Universidad del Cauca. His main areas of interest are mobile and wireless telecommunications.

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Published
2018-07-06