Items of № 4, 2024
NEBULAS IN PROMISING NETWORKS FOR TELEPRESENCE SERVICES
A.N. Volkov, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications (SPbSUT), department of communication networks and data transmission, associate professor, Ph.D.; artem.nv@sut.ru
Keywords: network 6G, IMT-2030, network of networks, fog computing, telepresence services.
This paper discusses the existing problems of integrating dynamic fog computing in the IMT-2030 network, provides current research directions, and also evaluates the effect of introducing fog computing in public communication networks.
RELIABILITY OF ARTIFICIAL INTELLIGENCE FUNCTIONING IN SWARM STRUCTURES OF SMALL UAVs
L.O. Myrova, The M.I. Krivosheev Radio Research & Development Institute (NIIR), leading researcher, professor, Dr.Sci.(Tech.); myrovalo@niir.ru
P.S. Korolev, HSE University, School of Electronic Engineering, associate professor, Ph.D.; pskorolev@hse.ru
P.I. Antonovich, NIIR, director of electromagnetic compatibility analysis center, associate professor, Dr.Sci.(Mil.); p.antonovich@niir.ru
V.E. Tsvetkov, HSE University, School of Electronic Engineering, master’s student; vtsvetkov@hse.ru
A.A. Kostyuk, HSE University, School of Electronic Engineering, student; aakostyuk@edu.hse.ru
R.V. Kirichek, Bonch-Bruevich State university of telecommunications (SPbSUT), rector, associate professor, Dr.Sci.(Tech.); kirichek@sut.ru
Keywords: reliability, artificial intelligence, swarm structures of UAVs, bee algorithm, intelligent system, hardware and software system, computational mathematical models.
The paper shows that ensuring the reliability and stability of artificial intelligence is one of the relevant tasks of ensuring the reliability of swarm structures of small unmanned aerial vehicles (UAVs). Swarm structures of small-size UAVs have been analyzed. It is established that the existing models and methods for assessing the UAV swarms’ reliability are not effective enough due to the fact that all components of the information multilevel system are not taken into account, which leads to the impossibility of reliable prediction of UAV swarm reliability indicators. To solve this problem, a refined generalized model and method for assessing the reliability of multilevel UAV information system, including both hardware, software and network components, are proposed. It is substantiated that this approach will allow to automate and improve the processes of forming requirements for the UAVs design and production and thus increase the reliability of their swarm structures.
EVALUATING THE EFFECTIVENESS OF A ROUTING METHOD USING GRAY RELATIONAL ANALYSIS
A.I. Paramonov, Bonch-Bruevich Saint-Petersburg State University of Telecommunications (SPbSUT), department of communication and data transmission networks, associate professor, Dr.Sci.(Tech.); alex-in-spb@yandex.ru
A.V. Marochkina, SPbSUT, department of communication and data transmission networks, assistance lecturer; anastasiy1996@mail.ru
I.E. Nikulsky, PJSC «CSPA «Leninetz», chief specialist, deputy chief designer, Dr.Sci.(Tech.); nikulskiji@mail.ru
Keywords: high-density networks, Internet of Things, threedimensional cluster, routing method, route quality.
The issues of the effectiveness of the routing method proposed by the authors in three-dimensional clusters of high-density Internet of Things networks based on the mathematical apparatus of gray relational analysis are considered. An original efficiency criterion is proposed, taking into account the quality indicators of the path. The numerical results of evaluating the quality of the route, the lengths of the paths, and the effectiveness of the proposed routing method are obtained and interpreted.
COMPARATIVE ANALYSIS OF PROBABILISTIC AND GEOMETRIC METHODS OF TAKING INTO ACCOUNT THE EFFECT OF ADJACENT CHANNEL INTERFERENCE IN IEEE 802.11 NETWORKS DESIGN
A.S. Vikulov, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications (SPbSUT), department of communication networks and data transmission, associate professor, Ph.D.; asv012016@gmail.com
A.I. Paramonov, SPbSUT, department of communication networks and data transmission, professor, Dr.Sci.(Tech.); alex-in-spb@yandex.ru
Keywords: wireless local area network, IEEE 802.11, adjacent channel interference, channel planning, channel configuration, signal to noise ratio.
Adjacent channel interference, as a possible result of IEEE 802.11 network channel planning, is one of the most complex factors that must be correctly estimated. Adjacent channel interference may be assessed either from a geometrical approach, which considers access points locations, or from a probabilistic approach, whose key parameter is the average attenuation of the interfering signal. This paper compares these two methods within applicable scenarios and shows their strengths and weaknesses. It is shown that, at the cost of increased computational complexity, the geometrical method of interference can provide a better solution to the channel configuration selection problem.
USING PREDICTION ALGORITHMS TO ADJUST THE FREQUENCY IN CASE OF AN INTERMITTENT SYNCHRONIZATION SIGNAL OR SWITCHING TO HOLDOVER MODE
D.K. Mazurenko, The M.I. Krivosheev Radio Research & Development Institute (NIIR), leading researcher, Ph.D.; dm.ma2010@yandex.ru
A.S. Fen, NIIR, head of department; fen@niir.ru
M.L. Schwartz, Moscow Technical University of Communications and Informatics, head of department, Ph.D.; mschwartz@smsync.ru
Keywords: synchronization signal, rejection filter, packet communication networks, frequency reference signals, time reference signals.
This article discusses issues related to the possibility of using prediction algorithms to ensure synchronous operation of a controlled oscillator in the case of an intermittent sync signal, as well as the correction of frequency drift in hold mode.
SIMULATION OF THE PHASE DEVIATION OF THE OUTPUT SYNC SIGNAL DEPENDING ON THE POWER OF THE REFERENCE CLOCK SIGNAL
D.K. Mazurenko, The M.I. Krivosheev Radio Research & Development Institute (NIIR), leading researcher, Ph.D.; dm.ma2010@yandex.ru
D.A. Palcin, NIIR, head of research center, palcin@niir.ru
A.S. Fen, NIIR, head of department; fen@niir.ru
A.P. Gorchakov, NIIR, head of department, Ph.D.; gorchakovap@niir.ru
A.V. Fedorov, Saint Petersburg branch of the M.I. Krivosheev Radio Research & Development Institute (NIIR) – LONIIR, head of department, fav2k@yandex.ru
M.L. Schwartz, Moscow Technical University of Communications and Informatics, head of department, Ph.D.; mschwartz@smsync.ru
Keywords: simulation, probabilistic automaton, power spectral density, sync signal, phase deviation, time interval deviation.
The use of filters for rejection of the sync signal when interference is applied to the sync signal leads to the need to use an intermittent sync signal at the frequency adjustment interval of the voltage-controlled generator, which in this case causes an increase in the phase deviation of the sync signal. In this article, a simulation model of the phase deviation of a sync signal is proposed, and numerical simulation results are presented.
ALGORITHM FOR DISTRIBUTING DATA BETWEEN STORAGE SYSTEMS BASED ON THE SELF-SIMILARITY PROPERTY
D.V. Gadasin, Moscow technical university of communications and informatics (MTUCI), deputy head of a department, associate professor, Ph.D.; dengadiplom@mail.ru
I.S. Vakurin, MTUCI, postgraduate; vort57@mail.ru
L.A. Tremasova, MTUCI, postgraduate; l.a.tremasova@mtuci.ru
Keywords: distributed computing systems, self-similarity of fractals, data distribution methods, reliability of data distribution.
The growth and scale of the use of computer technology is characterized by the intensity of growth in the amount of data used. For systems working with large amounts of data, one of the most important components is the algorithm for distributing data between storage and processing devices.
The paper considers an algorithm that uses the properties of self-similarity of fractals to distribute data between storage devices. To implement the algorithm, the algorithm for constructing the Sierpinski triangle is used as a basis. It was determined that the proposed algorithm has logarithmic complexity, and the number of terminal devices to which it is possible to distribute data is 232.
METHODOLOGY FOR OPTIMIZING THE INFORMATION RESOURCES DISTRIBUTION PLAN IN A COMMON INFORMATION SPACE
V.V. Nikolaev, Budyonny’s Military Academy of Communications, adjunct; fortune-rus@yandex.ru
I.B. Saenko, Saint Petersburg branch of the M.I. Krivosheev Radio Research & Development Institute (NIIR) – LONIIR, senior researcher, S.M. Budyonny’s Military Academy of Communications, professor, Dr.Sci.(Tech.); ibsaen@mail.ru
A.V. Ermakov, M.K. Ammosov’s North-Eastern Federal University, rector’s adviser, FSBI Branch NIIR – LONIIR, head of a department, associate professor, Ph.D.; ermakov-it@yandex.ru
Keywords: common information space, information resource, optimization methodology, allocation plan.
The article presents a methodology for optimizing the information resources distribution plan in the common information space, taking into account the criteria of timeliness, security and resilience. The structure of the methodology and its key stages are revealed. The issue of optimizing the information resources distribution after reconfiguration of the common information space is considered.
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