Evaluation of the energy reserve of communication channels during data transmission using small-sized UAVs in the conditions of "smart cities

Document Type : Research Paper

Authors

1 Belgorod State Research University, Belgorod, 308015, Russia

2 Vladimir State University named after Alexander Grigoryevich and Nikolai Grigorievich Stoletovs, Vladimir, 600000, Russia

Abstract

In this article, the influence of various factors and conditions of data transmission on the energy reserve of radio communication channels with small-sized unmanned aerial vehicles performing flight tasks within the "smart cities" with dense buildings is evaluated using mathematical modeling. It is shown that modern cities of this type, due to the presence of buildings of various heights with various reflection coefficients and a significant level of electromagnetic interference, create specific conditions for the propagation of radio waves, forming multipath fields with a complex interference structure and sharp spatial changes in signal levels, which creates a number of issues related to both the quality of communication and its reliability, including, in particular, the determination of energy reserves of radio communication channels. For their quantitative evaluation, mathematical models, typical data transmission parameters and energy characteristics of both unmanned aerial vehicles and ground-based control systems were selected. On their basis, a corresponding study of the energy reserve of the radio communication channel was conducted, and the corresponding conclusions were drawn based on the results of modeling.

Keywords

[1] M. Ablameyko and S. Ablameyko, Smart city: From theory to practice, Sci. Innov. 6 (2018), no. 184, 28–34.

[2] K. Al-Kodmany, Sentient city: Ubiquitous computing, architecture, and the future of urban space, J. Urban Technol. 19 (2012), no. 3, 137–140.

[3] A.V. Ananyev, M.A. Stafeev, and E.V. Makeyev, A method for communication using short-range unmanned aerial vehicles, Proc. MAI,.–2019, 2019, pp. 1–18.

[4] V.Y. Babkov, M.A. Voznyuk, A.N. Nikitin, and M. A. Sivers, Communication systems with code separation of channels, St. Petersburg, 1999.

[5] A.N. Bondarev and R.V. Kirichek, Overview of Public-use unmanned aerial vehicles and UAV Air Traffic Regulation in Different Countries, Inf. Technol. Telecommun. 4 (2016), no. 4, 13–23.

[6] I. Bekmezci, O.K. Sahingoz and S. Temel, Flying sd-hoc networks (FANETs): A survey, Ad Hoc Networks 11 (2013), no. 3, 1254–1270.
[7] O.G. Chertova and D.S. Chirov, Building a core communication network which is based on small size unmanned aircraft vehicle without ground infrasrtuvture, H&ES Res. 11 (2019), no. 3, 60–71.

[8] A. Fokin, Models of radio communications with unmanned aerial vehicles, Proc. Schools Commun. 4 (2018), no. 4, 85–101.

[9] A.M. Golikov, Modulation, coding and modeling in telecommunications systems, Theory and practice: Student Studies, St. Petersburg, Lan, 2018.
[10] V.P. Ipatov, Mobile communication systems, A textbook for Universities, Hotline-Telecom, Moscow, 2003.

[11] J. Irwin and D. Harl, Data transmission in networks: An engineering approach, Trans. from English-St. Petersburg, BHV-Petersburg, 2003.

[12] V.I. Kirillov, Multichannel data transmission systems, Novoe znanie, Moscow, 2002.

[13] V.V. Krukhmalev, Fundamentals of building telecommunications systems and networks, Hotline-Telecom, Moscow, 2004.

[14] G.V. Kulikov and S.S. Tambov, Assessment of quality of communication with UAVs in urban areas, Vestnik MSTU MIREA. 1 (2015), no. 6, 205–217.

[15] G.I. Kurcheeva and G.A. Klochkov, Development of the process model smart city, Online J. Naukovedenie 9 (2017), no. 5, 1–8.

[16] O.R. Kuzichkin, D.I. Surzhik and G.S. Vasilyev, Noise characteristics of signal generators of radio transmitters for wireless ad-hoc communication networks, J. Adv. Res. Dyn. Control Syst. 12 (2020), no. 6, 496–504.

[17] A.S. Kuzmina, M.S. Lipetskaya, E.A. Rimskikh, E.S. Rozhkov, N. . Trunova, D.V. Sanatov, N.G. Kuznetsova, E.E. Kuryanov, and S.S. Sobolev, Priority directions for the introduction of smart city technologies in Russian cities, Expert-analytical report, Strategic Development Center, Moscow, 2018.

[18] A.V. Leonov and V.A. Chaplygin, FANET networks, Omsk Sci. Bull. 3 (2015), 297–301.

[19] D. McLaren and J. Agyeman, Sharing cities: A case for truly smart and sustainable cities, MIT Press, Cambridge, Massachusetts, 2015.

[20] A.V. Polynkin, Kh.T. Le, Investigation of the characteristics of the radio communication channel with unmanned aerial vehicles, Izvestiya TulSU. Technical Sci. 7 (2013), no. 2, 98–107.

[21] V.O. Shvartsman and G.A. Emelyanov, Theory of discrete information transmission, Textbook for Communication Universities, Moscow: Svyaz, 1979.

[22] B. Sklyar, Digital communication: Theoretical foundations and practical application, Ed. 2nd, Publishing House Williams, Moscow, 2003.

[23] D.I. Surzhik, G.S. Vasilyev and O.R. Kuzichkin, Development of UAV trajectory approximation techniques for adaptive routing in FANET networks, 7th Int. Conf. Control Decision Inf. Technol. (CoDIT), 2020.

[24] V.A. Utts, Investigation of losses in the propagation of a cellular radio signal based on statistical models, Bull. I. Kant Baltic State Univer. 5 (2011), 44–49.

[25] G.S. Vasilyev, O.R. Kuzichkin, D.I. Surzhik, and S.M. Kharchuk, Application of communication systems via the ultraviolet channel in FANET networks, CSCNS2019. MATEC Web Conf. 309 (2020), 01013.

[26] G.S. Vasilyev, D.I. Surzhik and O.R. Kuzichkin, Integration of radio frequency and optical channels in communication networks with unmanned aerial vehicles, Int. Multidiscip. Sci. GeoConf. Surv. Geo. Min. Ecol. Manag., SGEM, 2020.

[27] G.S. Vasilyev, D.. Surzhik, O.R. Kuzichkin and I.A. Kurilov, Algorithms for adapting communication protocols of fanet networks, J. Software 15 (2020), no. 4, 114–122.

[28] V.A. Vasin, Radio transmission of information: A textbook for high schools, Goryachaya Liniya Telekom Pub., Moscow, 2005.

[29] D. Votzel and E. Kuznetsova, Smart City technologies: what influences citizens’ choices?, McKinsey center for Government, 2018.

[30] A.D. Vyrelkin and A.E. Kucheryavy, The use of unmanned aerial vehicles to solve the problems of the smart city, Inf. Technol. Telecommun. 5 (2017), no. 1, 105–113.
Volume 14, Issue 2
February 2023
Pages 125-132
  • Receive Date: 15 August 2021
  • Revise Date: 17 October 2021
  • Accept Date: 23 October 2021