Intelligent framework for radio access network design

  • Taras MaksymyukEmail author
  • Eugen Šlapak
  • Gabriel Bugár
  • Denis Horváth
  • Juraj Gazda


The evolution of 5G networks over the last few years has introduced a variety of technologies for more efficient radio access networks (RANs), which end up in ultra-dense heterogeneous infrastructure with deployments of high complexity. In this paper, we propose a new framework for RAN design in ultra-dense urban scenario based on the machine learning. The key idea of the proposed framework is to bring intelligent capabilities to the coverage planning problem for complex multi-tier scenarios, in order to achieve better network performance. We design our framework for small cells coverage optimization with 3D urban environment, macro cell locations, and realistic traffic statistics. Simulation results show that our proposed intelligent RAN framework significantly outperforms the conventional coverage design solutions, even after only a short learning time.

Graphic abstract


RAN workflow HetNets Artificial intelligence Self-supervised learning Big data 



This work was supported by the Slovak Research and Development Agency, Project Numbers APVV-15-0055 and APVV-18-0214, Scientific Grant Agency of the Ministry of Education, science, research and sport of the Slovak Republic under the Contract No. 1/0268/19 and by the European Intergovernmental Framework COST Action CA15140: Improving Applicability of Nature-Inspired Optimisation by Joining Theory and Practice. This research was also supported by the Project No. 0117U007177 “Designing the methods of adaptive radio resource management in LTE-U mobile networks for 4G/5G development in Ukraine,” funded by Ukrainian government.

Supplementary material

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Supplementary material 1 (mp4 39218 KB)


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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of TelecommunicationsLviv Polytechnic National UniversityLvivUkraine
  2. 2.Department of Computers and InformaticsTechnical University of KošiceKosiceSlovakia
  3. 3.Center of Interdisciplinary Biosciences, Technology and Innovation ParkP. J. Šafárik UniversityKosiceSlovakia

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