2687-0517 16 1 2023 1-78

RAR RUS 7-20 LG Electronics Pudeev Andrey andrey.pudeev@lge.com

Moscow, Russian Federation

0000-0002-6679-9295 Lobachevsky State University of Nizhni Novgorod Bolkhovskaya Olesya obol@rf.unn.ru

Nizhni Novgorod, Russian Federation

Lobachevsky State University of Nizhni Novgorod Bolotin Ilya ilya.a.bolotin@gmail.com

Nizhni Novgorod, Russian Federation

0000-0001-8694-0033 Lobachevsky State University of Nizhni Novgorod Maltsev Alexander maltsev@rf.unn.ru

Nizhni Novgorod, Russian Federation

Throughput evaluation of the millimeter-wave 5G communication systems The new, millimeter-wave (mmWave) Wi-Fi standard IEEE 802.11ay considers various indoor and outdoor scenarios, including multiple users access and backhauling with a range up to several hundred meters. Moreover, the 5G wireless communication systems are expected to adopt a heterogeneous network (HetNet) architecture, where small mmWave cells overlap a conventional macro cells network. The new applications require large antenna arrays and multi-stream transmission (MU-MIMO) with new beamforming algorithms, aimed not only at the single link quality maximization, but also at the optimization of the throughput in the whole deployment. In this paper, we evaluate the throughput of the mmWave communication systems for the main scenarios of their deployment. A comparative analysis of the different large antenna array techniques is carried out in application to MU-MIMO transmission at the small cells base station (BS) or Wi-Fi access points. The joint beamforming and scheduling algorithms utilizing the introduced antenna array architectures at the BS were developed. Finally, performance evaluation and comprehensive comparative analysis of the considered antenna array techniques are done using system level simulations for three deployment scenarios ("open space", "alleyway" and "hotel lobby") defined in the adopted millimeter-wave Wi-Fi standard IEEE 802.11ay. The proposed large antenna array architectures and the developed joint beamforming and scheduling algorithms for MU-MIMO transmission may find practical applications in millimeter wave Wi-Fi and 5G NR wireless communication systems. 10.18721/JCSTCS.16101 654.1 5G IEEE 802.11ay mmWave communication systems hybrid beamforming antenna arrays https://infocom.spbstu.ru/article/2023.76.1/

RAR RUS 21-34 0000-0001-9251-5631 Peter the Great St. Petersburg Polytechnic University Pergushev Aleksey pergushev.aleksey@mail.ru

St. Petersburg, Russian Federation

22735712200 Peter the Great St. Petersburg Polytechnic University Sorotsky Vladimir sorotsky@mail.spbstu.ru

St. Petersburg, Russian Federation

Zavialov Sergey Impact of signal distortion in a power amplifier on telecommunication system efficiency The need to increase information transfer rate in up-to-date telecommunication systems led to a wide spread of OFDM and SEFDM signals with a relatively high peak-to-average power ratio. In case of power amplifiers operating at a fixed supply voltage, this power ratio feature can result in up to 20–30 % decrease in efficiency, which predetermined the interest in the use of more efficient solutions. These methods, including envelope tracking, outphasing, etc., are based on non-linear transformations of a radio frequency signal and/or its envelope. The resulting signal distortions can be accompanied by a noticeable increase in error rate at the receiver, which negatively affects the telecommunication system performance. The paper considers a set of factors with the most significant impact upon signal distortion in a power amplifier with tracking supply. An analytical model of a multi-cell tracking power supply was developed taking into account the errors of envelope and reference voltage digital conversion, the transistors’ inertial parameters, the nonlinearities of the magnitude- and phase-frequency responses of the output low-pass filter. The impact of these factors on the envelope signal spectrum distortion and the bit error rate at receiver were considered. Proceeding from the results obtained, the authors proposed requirements to the transistors switching performance and the permissible dispersion of the parameters of envelope tracking power supply. 10.18721/JCSTCS.16102 621.37 modulated power supply harmonic distortion envelope tracking power amplifier efficiency analytical model https://infocom.spbstu.ru/article/2023.76.2/

RAR RUS 35-45 State Marine Technical University Semenov Nikolay semenov@smtu.ru

St. Petersburg, Russian Federation

Saint Petersburg State Marine Technical University Mikhlin Valerii valeriy_mikhlin@mail.ru

St. Petersburg, Russian Federation

Akhmetov Denis akhmetov_rphf@yahoo.com Requirements for communication and positioning systems for group operation of autonomous unmanned underwater vehicles When gathering a group of AUVs in a limited area, both the safety of their work and the possibility of participation are necessary. In a group, AUV should be out of the way of the other devices in the very least, but ideally should contribute to completion of the common task. This paper discusses issues related to the parameters of communication systems and positioning of AUVs working in a group to solve a single common task. The paper presents the numerical calculation results of the dependence of the AUV efficiency on the size of the subgroup. An assessment of the delays in data transmission and restructuring of the synchronization method in the group is also given, as well as the possibility to simplify group management in the case under study. 10.18721/JCSTCS.16103 62.5 robotics underwater robotics group application AUV communication systems positioning https://infocom.spbstu.ru/article/2023.76.3/

RAR RUS 46-59 0000-0002-8052-6832 Novosibirsk State University Zavyalov Anton a.zavyalov.98@yandex.ru

Novosibirsk, Russian Federation

0000-0001-5183-9736 Polzunov Altai State Technical University Staroletov Sergey serg_soft@mail.ru

Barnaul, Russian Federation

Flovver: A graphical functional language with a compiler focused on recursion optimization Visual languages reflect many parts of textual programming languages, however, the existing visual programming solutions lack higher-order functions and recursion concepts. The article introduces the design of a visual language Flovver, which implements the concepts of graphical functional programming. We propose a programming language that supports higher-order and recursive computations. The language accepts programs in a specially designed notation with semantics which we explain in this paper using the lambda calculus. The syntactic unit of such a program is a function that can be combined in a specific way with other functions. We present a fixpoint combinator that helps to specify a recursive behavior in the graphical functional language. To obtain calculate-effective programs, we design and implement a compiler for it, which is capable to optimize recursive programs. We also discuss code generation to JavaScript using the static single assignment (SSA) form. Finally, we propose a sketch of graphical integrated environment to design programs in Flovver using pre-defined blocks, and we present the generated SSA-like code in the paper. The approach is demonstrated on well-known Factorial and Fibonacci recursive programs. 10.18721/JCSTCS.16104 004.43 programming language graphical language functional language optimizing compiler https://infocom.spbstu.ru/article/2023.76.4/

RAR RUS 60-67 State Marine Technical University Semenov Nikolay semenov@smtu.ru

St. Petersburg, Russian Federation

Saint Petersburg State Marine Technical University Mikhlin Valerii valeriy_mikhlin@mail.ru

St. Petersburg, Russian Federation

Akhmetov Denis akhmetov_rphf@yahoo.com Effectiveness evaluation of multi-agent control systems for autonomous underwater vehicles for underwater operation The need to use groups of homogeneous and heterogenous robots in a confined space leads to the need for robots to interact with each other to prevent accidents and interfere with the work of other robots. And limited in speed and range communication channels do not allow remote control of each robot separately, that leads to the need to create multi-agent control systems or the ability of a group of robots to solve emerging problems without human intervention. This article discusses the effectiveness of such a group depending on the technical constraints of each robot and the number of robots in the group. The paper shows that an increase in the number of AUVs in a group leads to a significant increase in efficiency, but when a certain number is reached, the efficiency drops, because large groups of AUVs spend much more time changing lanes, and the increase in efficiency with an increase in the number of AUVs disappears. 10.18721/JCSTCS.16105 62.5 robotics underwater robotics group application AUV multi-agent control efficiency https://infocom.spbstu.ru/article/2023.76.5/

RAR RUS 69-78 Peter the Great St. Petersburg Polytechnic University Unal Ogul ogulunal@gmail.com

St. Petersburg, Russian Federation

Potekhin Vyacheslav slava.potekhin@mail.ru Implementation of machine learning algorithms for Parkinsonian gait data In this study, we used the Physionet gait database and extracted gait features such as step/stride regularities and symmetries to build a classifier for Parkinson’s disease (PD) subjects and healthy controls. We also improved the number of features using the mean and standard deviation of step times during their usual, self-selected pace for approximately 2 minutes on level ground. Extracted features were used in three different machine learning algorithms. PD is a neurodegenerative disorder caused by the neurodegeneration of regions of the basal ganglia. Gait abnormality is one of the main symptoms of PD. Motor symptoms in Parkinson’s disease cause a lack of control over movements and difficulty initiating muscle movements such as shuffling steps, quicker strides, or moving slower than expected for the corresponding age. The proposed approach can be used for the diagnosis of PD that can be automated or performed remotely. 10.18721/JCSTCS.16106 004.85 machine learning supervised learning Parkinson’s disease gait feature analysis https://infocom.spbstu.ru/article/2023.76.6/