Empirical model for propagation loss using

М. V. Mamchenko ; V. A. Zorin ; M. A. Romanova

News of the Kabardin-Balkar scientific center of RAS, no. 1 (2022), pp. 59-73.

Résumé

The paper presents an empirical model for propagation loss, taking into account the floor space index value for urban areas in the frequency range 150 – 2000 MHz. This model is designed to be used for modeling communication and data transfer between unmanned vehicles in mixed groups consisting of a ground segment and an aerial segments. This work provides the description and analysis of the main existing models for radio wave propagation loss in different types of environment (urban, suburban, rural) including ones with the use of the floor space index values to calculate path loss between the receiver and the transmitter (base stations). The applicability of the main models to the conditions of unmanned vehicles operation has been evaluated, taking into account the height of the antennas of both the receiver and the transmitter, as well as the distance between them. Empirical expressions have been formed for the frequency range of 1000 – 2000 MHz based on known Hata (Okumura – Hata) and COST231 – Hata models in order to take into account the floor space index when calculating the path loss between aerial and ground terminals within the mixed group of unmanned vehicles.

Détail

Keywords: unmanned vehicles, smart city, path loss, empirical model, CCIR model, Okumura model, Hata model, Okumura – Hata model, COST231 – Hata model, Ericsson 9999 model.
Mots-clés : signal loss

Bibliographie

[1] E. Jharko, E. Sakrutina, “Towards the Problem of Creating a Safety Management System in the Transportation Area”, IFAC-PapersOnLine, 50:1 (2017), 15610–15615 | DOI

[2] E. Jharko, E. Abdulova, A. Y. Iskhakov, “Unmanned Vehicles: Safety Management Systems and Safety Functions”, Futuristic Trends in Network and Communication Technologies. FTNCT 2020., Communications in Computer and Information Science, no. 1396, 2021, 112–121 | DOI

[3] A. Iskhakov, E. Jharko, “Approach to Security Provision of Machine Vision for Unmanned Vehicles of AbSmart CityA”, 2020 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), 2020, 1–5

[4] P. M. Trefilov, A. Y. Iskhakov, R. V. Meshcheryakov et al., “Simulation Modeling of Strapdown Inertial Navigation Systems Functioning as a Means to Ensure Cybersecurity of Unmanned Aerial Vehicles Navigation Systems for Dynamic Objects in Various Correction Modes”, 2020 7th International Conference on Control, Decision and Information Technologies (CoDIT), 2020, 1046–1051

[5] J. S. Seybold, Introduction to RF Propagation, John Wiley and Sons Inc., New Jersey, 2005, 330 pp.

[6] N. C. Nnadi, I. C. Nnadi, C. C. Nnadi, “Optimization of CCIR pathloss model using terrain roughness parameter”, Mathematical and Software Engineering, 2017, no. 3, 156–163

[7] S. Ozuomba, E. Johnson, N. C. Rosemary, “Characterisation of Propagation Loss for a 3G Cellular Network in a Crowded Market Area Using CCIR Model”, Review of Computer Engineering Research, 5:2 (2019), 49–56 | DOI

[8] A. Salieto, G. Roig, Gmez-Barquero D. at el., “Radio propagation models for DVB-H networks”, Proceedings of the Fourth European Conference on Antennas and Propagation, 2010, 1–5

[9] S. O. Ajose, A. L. Imoize, “Propagation measurements and modelling at 1800 MHz in Lagos Nigeria”, International Journal of Wireless and Mobile Computing, 6:2 (2013), 165–174 | DOI

[10] I. N. Yaremko, K. A. Pavlovskaya, “Analysis of the SUI radio wave propagation model for solving the problems of building 5G cellular networks”, Collection of scientific works of DonIZhT, v. 56, 2020, 26–30 (In Russian) | MR

[11] T. S. Rappaport, Wireless Communications: Principles and Practice. 2nd edition, Prentice Hall, New Jersey, 2001, 707 pp.

[12] Goldsmith A. Wireless Communications, 1st edition, Cambridge University Press, Cambridge, 2005, 674 pp.

[13] M. Hata, “Empirical formula for propagation loss in land mobile radio services”, IEEE Transactions on Vehicular Technology, 29:3 (1980), 317–325 | DOI | MR

[14] S. V. Dvornikov, A. A. Balykov, A. A. Kotov, “A simplified model for calculating signal losses in a radio link obtained by comparing Vvedensky's quadratic formula with existing empirical models”, Control Systems, Communications and Security, 2019, no. 2, 87–99 (In Russian)

[15] M. O. Kabaou, B. R. Chibani, M. N. Abdelkrim, “Path loss models comparison in radio mobile communications”, International Journal of Soft Computing, 3:2 (2008), 88–92

[16] J. Milanovic, S. Rimac-Drlje, K. Bejuk, “Comparison of Propagation Models Accuracy for WiMAX on 3.5 GHz.”, 2007 14th IEEE International Conference on Electronics, Circuits and Systems, 2007, 111–114

[17] A. Zreikat, M. Dordevic, “Performance Analysis of Path loss Prediction Models in Wireless Mobile Networks in Different Propagation Environments”, Proceedings of the 3rd World Congress on Electrical Engineering and Computer Systems and Science (EECSS'17), 103–11

[18] S. V. Dvornikov, A. S. Dvornikov, A. A. Kotov, A. A. Muravtsov, “Analysis of attenuation models of radio signals of decimeter waves”, Information and Space, 2018, no. 2, 6–11 (In Russian)

[19] A. L. Imoize, A. I. Dosunmu, “Path Loss Characterization of Long Term Evolution Network for Lagos, Nigeria”, Jordan Journal of Electrical Engineering, 4:2 (2018.), 114–128

[20] M. S. Mollel, M. Kisangiri, “Comparison of Empirical Propagation Path Loss Models for Mobile Communication”, Computer Engineering and Intelligent Systems, 5:9 (2014), 1–10