Abstract
Today, there is a large number of wireless technologies. A decisive role among them in the process of industrial automation is assigned to fifth-generation communication technologies. 5G networks will provide service not only for traditional cellphones, but also for a huge amount of different M2M and IoT devices that have specific characteristics and requests. Therefore, science-based planning and automation of information networks that provide service to requests with specified performance indices is a very complex scientific, technical and economic task, without which it is almost impossible to create an enterprise information infrastructure that meets all the needs and formulated requirements. Thus, the purpose of this work is to improve the network architecture of the enterprise for further optimization of the production process. A 5G network planning method for enterprise production processes consisting of radio network covering, consecutive ensuring location definition for each basic station using radio signal path loss evaluation optimized model including minimal carrying capacity limit, connection quantity limit and its dependability and communication transition segment construction including the definition of the optimal location of the telecommunications closet facility has been developed. The developed method provides the possibility of planning the optimal structure of the 5G cellular network to optimize production processes, evaluate and reduce the total cost for the network construction, while guaranteeing the necessary indices of quality of service and reliability of network nodes.
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Acknowledgement
This work was supported in part by the European Commission under the 5G-TOURS: SmarT mObility, media and e-health for toURists and citizenS (H2020-ICT-2018–2020 call, grant number 856950). Opinions, expressed in this paper are those of the authors and do not necessarily represent the whole project.
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Odarchenko, R., Smirnova, T., Smirnov, O., Bondar, S., Volosheniuk, D. (2023). Optimal Structure Construction of Private 5G Network for the Needs of Enterprises. In: Faure, E., Danchenko, O., Bondarenko, M., Tryus, Y., Bazilo, C., Zaspa, G. (eds) Information Technology for Education, Science, and Technics. ITEST 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 178. Springer, Cham. https://doi.org/10.1007/978-3-031-35467-0_14
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DOI: https://doi.org/10.1007/978-3-031-35467-0_14
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