2. Home
  3. ARCHIVE
  4. 2022
  5. VOL 44, NO 3 (2022)
  6. pp. 113-122

PLANNING OF RADIO COVERAGE AND MODELING OF DISTRIBUTION OF RADIO SIGNALS OF 5G MOBILE NETWORKS FOR AUTOMATION OF PRODUCTION PROCESSES

T.V. Smirnova, M.A. Yankov, V.V. Hrudyk, V.A. Horbov, A.S. Kovalenko

Èlektron. model. 2022, 44(3):113-122

https://doi.org/10.15407/emodel.44.03.113

ABSTRACT

The paper develops a method of 5G network planning to automate the production processes of the enterprise, which consists in sequentially ensuring the design of the radio network coverage to determine the location of each base station using an optimized model to estimate the power loss of the radio signal. reliability and construction of the communication transport segment with the determination of the optimal location of cross-country premises. The object of research is the process of building a cloud information and communication system for automation of production processes. The subject of the research is the methods of radio coverage planning and modeling of the propagation of radio signals of 5G mobile networks for automation of production processes. The aim is to plan a 5G cellular network with an improved enterprise network architecture to further optimize production processes. The developed method makes it possible to plan the optimal structure of the 5G cellular network to optimize production processes, evaluate and reduce the total cost of building the network, while providing the necessary indicators of service quality of network nodes and its reliability.

KEYWORDS

radio coverage planning, radio signal propagation modeling, mobile networks, 5G.

REFERENCES

  1. Smirnova, T.V., Solovykh, E.K., Smirnov, O.A. and Dreev, O.M. (2019), “Construction of cloud information technologies to optimize the technological process of restoration and strengthening of surfaces of parts”, Tekhnichni nauky, Vol. 1, no. 32, pp. 184-194.
    https://doi.org/10.32515/2664-262X.2019.1(32).184-194
  2. Smirnova, T.V., Smirnov, S.A., Minailenko, R.M., Dorensky, O.P. and Sysoenko, S.V. (2020), “Cloud automated system of intelligent decision support for technological processes”, Tekhnichni nauky, Vol. 4, pp. 84-92.
  3. Smirnova, T.V., Stolyarenko, M.P., Yankov, M.O., Grudik, V.V. and Motorin, Yu.Yu. (2021), “Model of realization of structure of technological process in cloud service”, Zbirnyk naukovykh prats Kharkivskoho natsionalnoho universytetu Povitryanykh Syl, Vol. 4, no. 70, pp. 132-142.
  4. LTE; 5G; Study on channel model for frequency spectrum above 6 GHz (3GPP TR 38.900 version 15.0.0 Release 15), available at: https://www.etsi.org/deliver/etsi_tr/138900_138999/138900/15.00.00_60/tr_138900v150000p.pdf .
  5. Remi Lorrain (2020), Introducing the LoRaWAN® & 5G Fact vs. Fiction Series, available at: https://blog.semtech.com/introducing-the-lorawan-5g-fact-vs.-fiction-part- one.
  6. ITU towards “IMT for 2020 and beyond” – IMT-2020 standards for 5G, available at: https://www.itu.int/en/ITU-R/study-groups/rsg5/rwp5d/imt-2020/Pages/default.aspx.
  7. White paper. Cisco public. Reimagining the End-to-End Mobile Network in the 5G Era, available at: https://www.cisco.com/c/dam/en/us/products/collateral/cloud-systems-management/elastic-services-controller-esc/reimagining-mobile-network-white-paper.pdf.
  8. Cisco Visual Networking Index: Forecast and Trends, 2017-2022, available at: https://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/white-paper-c11-741490.html.
  9. 5G; Study on channel model for frequencies from 0.5 to 100 GHz (3GPP TR 38.901 version 14.0.0 Release 14), available at: https://www.etsi.org/deliver/etsi_tr/138900_138999/138901/14.00.00_60/tr_138901v140000p.pdf.
  10. 5G; NR; Base Station (BS) radio transmission and reception (3GPP TS 38.104 version 15.2.0 Release 15), available at: https://www.etsi.org/deliver/etsi_ts/138100_138199/138104/15.02.00_60/ts_138104v150200p.pdf.
  11. Goldsmith, A.J. and Greenstein, L.J. (1993), “A measurement-based model for predicting coverage areas of urban microcells”, IEEE Journal on Selected Areas in Communications, Vol. 11, no. 7, pp. 1013–1023.
    https://doi.org/10.1109/49.233214
  12. MacCartney, G.R., Zhang, J., Nie, S. and Rappaport, T.S. (2013), "Path loss models for 5G millimeter wave propagation channels in urban microcells," 2013 IEEE Global Communications Conference (GLOBECOM), pp. 3948-3953, available at: https://doi.org/10.1109/GLOCOM.2013.6831690
  13. Tataria, H., Haneda, K., Molisch, A.F. et al. (2021), “Standardization of Propagation Models for Terrestrial Cellular Systems: A Historical Perspective”, International Journal of Wireless Information Networks, Vol. 28, pp. 20–44, available at: ttps://doi.org/10.1007/s10776-020-00500-9.

Full text: PDF