Items of № 9-2025

Architecture of a hybrid orbital-ground communication network for seamless network-centric control of unmanned systems

R.V. Kirichek, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, rector, professor, Dr.Sci.(Tech.); kirichek@sut.ru

UDC 621.396.946
DOI: 10.34832/ELSV.2025.71.9.003

Abstract. The article proposes a target architecture for a hybrid orbital-ground communication network for seamless network-centric control of unmanned systems, including unmanned aerial vehicles. Hybrid orbital-ground communication networks consist of a ground segment, including hybrid networks, and a satellite segment, including satellite communication networks consisting of spacecraft in low, medium, high, and geostationary orbits. The application of the architecture provides predictable latency, session continuity, and fault tolerance for long-distance data transmission in challenging radio environments. The key mechanism is multi-orbit routing with channel selection policies based on traffic class (“control,” “sensors,” “video”) and line availability forecasts. Special emphasis is placed on the “Honest Space” system, which provides for the certification of payloads, telemetry, and ground stations.

Keywords:hybrid networks, hybrid orbital-terrestrial networks, unmanned system, unmanned aerial system, Honest Space, digital objects architecture, multi-service satellite technologies, geospatial awareness services, multi-orbit routing.

For citation: Kirichek, R.V. Architecture of a hybrid orbital-ground communication network for seamless networkcentric control of unmanned systems / R.V. Kirichek // Electrosvyaz. – 2025. – No. 9. – P. 22-37. (in russian)

Prospects for development and integration of satellite systems of the internet of things with ground networks for control and management of unmanned and robotic objects

O.V. Mentus, The M.I. Krivosheev National Research Centre for Telecommunication (NRCT), Scientific and technical center of Satellite Telecommunication Systems (STC SST), director; mentusov@nic-t.ru

 A.L. Safronov, NRCT, STC SST, head of laboratory, associate professor, Ph.D.; safronoval@nic-t.ru

L.O. Myrova, NRCT, STC SST, chief researcher, professor, Dr.Sci.(Tech.); myrovalo@nic-t.ru

UDC 621.396.946
DOI: 10.34832/ELSV.2025.71.9.004

Abstract. The prospects for the development and integration of satellite systems of the Internet of Things with terrestrial networks are considered. The need for the organization of monitoring and management of unmanned and robotic objects (UROs) throughout the Russian Federation in real time is shown. An approach to the construction of satellite systems for monitoring and control of UROs is proposed, and an assessment of the possibilities of using existing satellite systems for their monitoring and control is given. The requirements for the control and management lines of the UROs are substantiated. The basic principles of creation and functioning of the satellite component of control and management of the UROs are defined. The technology of ensuring information security of flights of unmanned aerial vehicles is presented.

Keywords: integration, satellite systems, control and management of unmanned and robotic objects, support technology, flight safety.

For citation: Mentus, O.V. Prospects for development and integration of satellite systems of the internet of things with ground networks for control and management of unmanned and robotic objects / O.V. Mentus, A.L. Safronov, L.O. Myrova // Electrosvyaz. – 2025. – No. 9. – P. 38-53. (in russian)

Stegosystem for undetectable data transmission protected against known attacks and maximizing the volume of embedded messages

V.I. Korzhik, The Bonch-Bruevich Saint Petersburg State University of Telecommunications (SPbSUT), professor, Dr.Sci.(Tech.); val-korzhik@yandex.ru

V.A. Yakovlev, SPbSUT, professor, Dr.Sci.(Tech.); viyak@bk.ru

E.Yu. Gerling, SPbSUT, associate professor, Ph.D.; gerlingeu@mail.ru

UDC 004.056.55
DOI: 10.34832/ELSV.2025.71.9.005

Abstract. It is proposed in the current paper a design of stegosystem (SGS) providing covered embedding of information in images. Both video f and still images files can be taken as the cover objects. The feature of such SGS is that, unlike other SGSs, it allows to exchange undetectability not for the embedding rate but for the hardness of embedding procedure. It is given the performance evaluation in terms of reliability of data extraction, SGS undetectability and the volume of message embedding. The use of quantum computers is considered as a measure of embedding decreasing complexity.

Keywords: steganography, cryptography, images, hashing, error correcting codes, quantum computers.

For citation: Korzhik, V.I. Stegosystem for undetectable data transmission protected against known attacks and maximizing the volume of embedded messages / V.I. Korzhik, V.A. Yakovlev, E.Yu. Gerling // Electrosvyaz. – 2025. – No. 9. – P. 54-64. (in russian)

Development of methods of object identification by small-sized unmanned aerial vehicles on the basis of immunocomputing

E.A. Neverov, The Bonch-Bruevich Saint Petersburg State University of Telecommunications (SPbSUT), postgraduate; neverov.ea@sut.ru

I.А. Zikratov, SPbSUT, professor, Dr.Sci.(Tech.); zikratov.ia@sut.ru

UDC 004.932.2
DOI: 10.34832/ELSV.2025.71.9.006

Abstract. This paper addresses the problem of image classification using images captured by a camera mounted on an unmanned aerial vehicle (UAV). An immune computing method is proposed for this task, which is characterized by lower computational resource requirements compared to other known classification techniques. A comparative analysis of the results obtained from machine learning algorithms and neural networks is presented. The experimental evaluation utilized the HIT-UAV image dataset. Among the methods examined, the immune computing approach demonstrated the highest accuracy, achieving an average classification accuracy of 0.79.

Keywords: immunocomputing; signal processing; machine learning; data analysis.

For citation: Neverov, E.A.Development of methods of object identification by small-sized unmanned aerial vehicles on the basis of immunocomputing / E.A. Neverov, I.А. Zikratov // Electrosvyaz. – 2025. – No. 9. – P. 64-71. (in russian)

Innovative approaches to building conceptual models of data management architecture in telecommunications

V.V. Makarov, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications (SPbSUT), data economics department, professor, Dr.Sci.(Econ.); makarov.vv@sut.ru

O.V. Volchik, SPbSUT, data economics department, senior lecturer; ovolchik.ov@sut.ru

UDC 004.451.5
DOI: 10.34832/ELSV.2025.71.9.007

Abstract. The subject of this research is modern approaches to building conceptual models of data management architecture in the telecommunication industry. The purpose of the article is to propose effective solutions for improving the quality of service and optimizing telecommunications services through the implementation of data management systems. The research methodology includes a review of the scientific literature on the subject under study, an analysis of data management problems in telecommunications, classification and analysis of approaches to building data management architectures in the industry. The conclusions of this study are that the considered approaches to the development of conceptual models of data management architecture can be applied as a basis for the implementation of an effective data management process for companies in the telecommunications industry.

Keywords: data management, conceptual model, data architecture, telecommunications.

For citation: Makarov, V.V. Innovative approaches to building conceptual models of data management architecture in telecommunications / V.V. Makarov, O.V. Volchik // Electrosvyaz. – 2025. – No. 9. – P. 72-81. (in russian)

Application of artificial intelligence technologies in the management of modern and prospective telecommunication infrastructures

V.L. Litvinov, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications (SPbSUT), associate professor, Ph.D.; vlitvinov@sut.ru

O.V. Rakovsky, SPbSUT, associate professor, Ph.D.; rakovskii.ov@sut.ru

L.P. Kozlova, SPbSUT, associate professor, Ph.D.; kozlova.lp@sut.ru

O.A. Kozlova, SPbSUT, senior lecturer; kozlova.oa@sut.ru

UDC 004.89
DOI: 10.34832/ELSV.2025.71.9.008

Abstract. The paper provides a systematic analysis and a multidimensional classification of modern approaches to the use of artificial intelligence (AI) in telecommunications infrastructures, highlights key areas, tasks to be solved, and the technological stacks used. The prospects for the development of the industry with the integration of artificial intelligence systems are discussed. It is shown that the integration of AI is not a point improvement, but a fundamental paradigm shift in the design and operation of telecom infrastructures.

Keywords: artificial intelligence, machine learning, telecommunications, 5G, 6G, neural networks.

For citation: Litvinov, V.L. Application of artificial intelligence technologies in the management of modern and prospective telecommunication infrastructures / V.L. Litvinov, O.V. Rakovsky, L.P. Kozlova, O.A. Kozlova // Electrosvyaz. – 2025. – No. 9. – P. 82-90. (in russian)

An adaptive mode selection algorithm for spatial diversity and multiplexing in MIMO-OFDM systems

E.I. Glushankov, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications (SPbSUT), professor, Dr.Sci.(Tech.); glushankov.ei@sut.ru

K.K. Fam, SPbSUT, postgraduate; fam.kk@sut.ru

UDC 621.396.4
DOI: 10.34832/ELSV.2025.71.9.009

Abstract. This paper presents the development of a simulation model for a MIMO-OFDM system, which incorporates five heterogeneous transmission modes and a proactive control algorithm for switching between them. The performance of each mode is quantitatively evaluated based on the metrics of bit error rate and spectral efficiency under various channel conditions. Furthermore, to ensure the practical feasibility of the high-throughput modes, corresponding detection techniques were analyzed. Consequently, an efficient method based on the Neumann series expansion is proposed to reduce their computational complexity.

Keywords: MIMO, OFDM, adaptive system, space-time block coding, spatial   multiplexing, LDPC code, V-BLAST, LMMSE.

For citation: Glushankov, E.I. An adaptive mode selection algorithm for spatial diversity and multiplexing in MIMOOFDM systems / E.I. Glushankov, K.K. Fam // Electrosvyaz. – 2025. – No. 9. – P. 91-102. (in russian)

The effect of compensating for time and frequency shifts of an OFDM signal in a digital radio broadcasting system

Yu.A. Kovalgin, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications (SPbSUT), department of digital television and metrology, professor, Dr.Sci.(Tech.); kowalgin@sut.ru

O.A. Guminskiy, SPbSUT, department of digital television and metrology, postgraduate; guminskii.oa@sut.ru

R.V. Kirichek, SPbSUT, rector, professor, Dr.Sci.(Tech.); kirichek@sut.ru

UDC 621.396.712
DOI: 10.34832/ELSV.2025.71.9.010

Abstract. The paper studies the effect of the time shift of the start of the direct discrete Fourier transform relative to the beginning of the useful (information) part of the OFDM symbol and the offset of the OFDM signal carrier frequency on the magnitude of the modulation error rate RMER and the bit error rate BER when compensating for subcarrier frequency distortion for different types of modulation and protection levels. The paper estimates the permissible values of these parameters, ensuring that the BER does not exceed 10–4, as required by the standard for comfortable reception in the digital radio broadcasting system DRM (Digital Radio Mondiale).

Keywords: OFDM signal synchronization, digital broadcasting, DRM, E-stability  mode.

For citation: Kovalgin, Yu.A.The effect of compensating for time and frequency shifts of an OFDM signal in a digital radio broadcasting system / Yu.A. Kovalgin, O.A. Guminskiy, R.V. Kirichek // Electrosvyaz. – 2025. – No. 9. – P. 103-114. (in russian)

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