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Average Connection Establishment Time in Random Access Channel with Limited Resources
IEEE, 2024.
In 4G and 5G cellular networks, a 4-step random access procedure is used. A significant challenge arises when a large number of users attempt to connect within a short period of time. To address this issue, the access class barring mechanism is employed. There are numerous studies that analyze the average connection time for users within the random access framework that includes access class barring. However, these studies primarily offer approximate calculations for the average connection time. In this work, the connection process is modeled using a Markov chain. The problem of calculating the average connection time is reduced to finding the average time to reach an absorbing state. An iterative algorithm is proposed to compute the exact value of this metric both for a system using the access class barring mechanism and without its use. It is demonstrated that, under certain conditions, the approximate calculations presented in other works significantly underestimate the average connection time.In 4G and 5G cellular networks, a 4-step random access procedure is used. A significant challenge arises when a large number of users attempt to connect within a short period of time. To address this issue, the access class barring mechanism is employed. There are numerous studies that analyze the average connection time for users within the random access framework that includes access class barring. However, these studies primarily offer approximate calculations for the average connection time. In this work, the connection process is modeled using a Markov chain. The problem of calculating the average connection time is reduced to finding the average time to reach an absorbing state. An iterative algorithm is proposed to compute the exact value of this metric both for a system using the access class barring mechanism and without its use. It is demonstrated that, under certain conditions, the approximate calculations presented in other works significantly underestimate the average connection time.
Polarization of opinions in the group: a modeling algorithm considering the dynamics of social bonds
Chebotarev V., Andreyuk D., Elizarova Anastasiya et al., Procedia Computer Science 2022 Vol. 213 No. C P. 596–601
The dynamics of opinion in a group are of interest for a number of practical purposes. In particular, consensus helps and polarization of opinions hinders cohesive teamwork. Existing approaches for modeling opinion dynamics mostly do not take into account the dynamism of social relations in a group. This paper proposes an algorithm and a program ...
Added: October 2, 2026
Umer Mukhtar Andrabi, Wadood E., Ojha S. K. et al., IEEE Access 2026 Vol. 14 P. 103358–103375
The emergence of 5G networks, aimed at accommodating diverse service requirements such as enhanced Mobile Broadband (eMBB), Ultra-Reliable Low-Latency Communication (URLLC), and massive Machine-Type Communication (mMTC), has presented significant challenges in radio resource management and network slicing. In dynamic heterogeneous network systems, traditional heuristics and mathematical programming methods find it challenging to attain scalable multi-objective ...
Added: September 23, 2026
Aleksei Samarin, Aleksei Toropov, Dzestelova A. et al., , in: Proceedings of the 35th Conference of Open Innovations Association FRUCT, 24-26 April 2024, Tampere, FinlandIssue 1.: FRUCT Oy, 2024. P. 659–664.
This research endeavor is dedicated to the integration of specialized attentional mechanisms within the intricate web of deep neural network architectures aimed at discerning indications of lung carcinoma from monochromatic snapshots derived from computerized axial tomography. Within this exploration, we propose a myriad of adaptations to the traditional non-local blocks, infusing them with bespoke attentional ...
Added: September 19, 2026
Aleksei Samarin, Nazarenko A., Aleksei Toropov et al., , in: Proceedings of the 36th Conference of Open Innovations Association FRUCT, Helsinki, Finland, 30 October - 1 November 2024Vol. 36.: FRUCT Oy, 2024. P. 711–720.
Image enhancement is crucial in digital image processing to improve visual quality across various applications. Recent advancements in deep learning and computer vision have significantly advanced automatic color correction. While heavyweight solutions excel in quality, they demand substantial computational resources, whereas emerging lightweight models promise efficient operation on mobile devices. This study introduces a lightweight ...
Added: September 19, 2026
Chertopolokhov V., Mukhamedov A., Bugriy G. et al., IEEE Access 2026 Vol. 14 P. 14369–14392
This study presents on-the-fly identification and multi-step prediction of nonlinear systems with delayed inputs using a dynamic neural network combined with a smooth projection onto ellipsoids. The projection enforces parameter constraints that guarantee stability, while a Lyapunov–Krasovskii analysis yields computable ultimate error bounds. Riccati-type matrix inequalities are derived, providing an efficient vectorization–projection–devectorization implementation suitable for ...
Added: May 22, 2026
Posnenkova O., Simonyan M., Akimova N., Blood Pressure Monitoring 2025 No. 11
We aimed to evaluate the accuracy of B.Well PRO-33 (B.Well, Widnau, Switzerland) oscillometric device for professional office measurement of blood pressure (BP) on the upper arm in the general population in accordance with the Amendment 2.2024-01 of the Standard 81060-2:2018 by the International Organization for Standardization (ISO 81060-2:2018/AMD 2:2024). Study participants were recruited according to ...
Added: December 11, 2025
Dogonasheva O., Giraud A., Zakharov D. et al., Neural Networks 2025 Vol. 195 Article 108194
In this review, we examine computational models that explore the role of neural oscillations in speech perception, spanning from early auditory processing to higher cognitive stages. We focus on models that use rhythmic brain activities, such as gamma, theta, and delta oscillations, to encode phonemes, segment speech into syllables and words, and integrate linguistic elements ...
Added: October 16, 2025
Monakhova E., Monakhov O., Edward R. Rzaev et al., IEEE Access 2025 Vol. 13 P. 104716–104727
Based on the analysis of a large dataset for optimal undirected double-loop networks, we studied the problem of finding families of optimal double-loop graphs with the minimal possible diameter. Optimal double-loop networks are of practical interest as graph models for reliable, low-delay communication in computer systems and networks-on-chip, due to their advantageous networking properties. A ...
Added: June 30, 2025
Tekic A., Tekic Z., Journal of Business Research 2025 Vol. 197 Article 115444
Entrepreneurial ecosystems, as spatially bounded resource allocation systems, are vital for the growth and scale-up of new ventures by facilitating access to financial, human, and social resources, which are considered to be essential for fostering Schumpeterian entrepreneurship. However, there is significant heterogeneity in resource endowments of high-impact ecosystems, challenging the prevailing thesis in entrepreneurial ecosystem ...
Added: May 19, 2025
Tao M., Hao F., Wei L. et al., IEEE Transactions on Computational Social Systems 2024 Vol. 11 No. 6 P. 7373–7385
Attributed social networks are pervasive in real life and play a crucial role in shaping various aspects of society. These networks not only capture the connections between individuals but also encompass the associated attributes and characteristics. Analyzing and understanding these attributes provide insights into social behaviors, information diffusion patterns, and the formation of influential communities. ...
Added: February 25, 2025
Plaksin M. A., Информатика в школе 2024 Т. 23 № 4 С. 44–57
Three basic aspects of the operation of generative neural network models (generative artificial intelligence) are discussed in the article: the concept of a "token", the probabilistic nature of the generated response, and the concept of a "large model", the size of which ensures the pseudo-intelligent behavior of neural network chatbots. The issues of implementing generative models, areas ...
Added: February 17, 2025
М.: НИЯУ МИФИ, 2024.
Сьорник трудов конфереенции «Современные математические модели в
энергетике», посвящённая памяти профессора, д.ф.-м.н. В. А. Тупчиева ...
Added: December 19, 2024
Shchennikova I., Шульгина Е. А., Законодательство 2023 № 8 С. 13–20
Настоящая статья посвящена истории развития науки цифрового права и истории преподавания одноименной дисциплины в МГУ им. М.В. Ломоносова. Авторы рассматривают основные этапы преподавания дисциплины, которая долгое время представляла собой комплексную учебную дисциплину, включавшую элементы правовой информатики, математики и кибернетики. В последнее десятилетие происходят процессы формирования науки российского цифрового права и учебной дисциплины, предметом которой является ...
Added: September 10, 2024
Balakin S., Панасик Д. С., Федоров В. И., Космическая техника и технологии 2023 Т. 2(41) № 2 С. 22–31
The paper presents operating principles of the path for controlling the ratio
and the total mass flow rate of propellant components in the high-efficiency engine
for an advanced upper stage, and a procedure for studying the effects of
destabilizing factors on the accuracy of maintaining the ratio and the total mass
flow rate of propellant components. It provides an ...
Added: March 26, 2024
Erlygin L., Zholobov V., Baklanova V. et al., , in: 2023 IEEE International Conference on Data Mining Workshops (ICDMW) 1–4 December 2023, Shanghai, China.: Shanghai: IEEE Computer Society, 2023. P. 1247–1258.
Machine learning models play a vital role in time series forecasting. These models, however, often overlook an important element: point uncertainty estimates. Incorporating these estimates is crucial for effective risk management, informed model selection, and decision-making.To address this issue, our research introduces a method for uncertainty estimation. We employ a surrogate Gaussian process regression model. ...
Added: March 20, 2024
Portnoy S., Nikitin S., Волошин А. Д. et al., Научно-технический журнал "ПЕРВАЯ МИЛЯ" , Росссия 2024 № 1(117) С. 26–40
Представлен обзор стандарта 3GPP 38.212 и известных реализаций двух важных классов кодов – полярных и кодов LDPC (Low-Density Parity-Check) – широко применяемых в современных системах хранения данных и связи вообще и мобильной связи в частности. В первой части статьи рассматриваются основные принципы работы кодов LDPC, их структура и методы кодирования. Указывается, что LDPC-коды являются одними ...
Added: March 20, 2024
Semenov A., Pattern Recognition and Image Analysis 2023 Vol. 33 No. 4 P. 983–987
This article elucidates the technocratic utopia envisioned by Academician Axel Berg, detailing his perspective on the future and the strategies he believed would bring it to fruition. Specific initiatives undertaken by Berg are highlighted, notably the establishment of the Scientific Council “Cybernetics”—a nexus for the advancement of cybernetics in the former Soviet Union and the ...
Added: March 13, 2024
Пермь: ПГНИУ, 2022.
В сборнике представлены материалы студенческой конференции «Актуальные проблемы математики, механики и информатики 2022», которая проводилась 25 мая – 10 июня 2022 г. в г. Перми. В состав сборника вошли работы студентов, выполненные под руководством ученых Пермского государственного национально исследовательского университета. Работы обладают актуальностью и научной новизной, часто они имеют междисциплинарный характер. Большой блок публикаций связан ...
Added: February 29, 2024
Shanskov M., Мельников Д. С., Фокин А. М., Вестник Томского государственного университета 2023 № 494 С. 163–171
In sports games, along with the improvement of motor skills, athletes develop tactical thinking skills – a specialized form of mental activity. This is due to the fact that the absence of standard programs of motor activity in games requires special attention to its current conditions. Therefore, in these sports, the main form of brain ...
Added: February 10, 2024
Пермь: Пермский государственный национальный исследовательский университет, 2023.
The collection of articles contains materials presented on May 18–19, 2023 at the All-Russian (with international participation) scientific and methodological conference “Methods and technologies of teaching at a university in the context of digital transformation of education.” The articles reflect best practices in the field of modern methods and technologies of teaching at a university, ...
Added: February 4, 2024
Springer, 2023.
This volume gathers together selected peer-reviewed works presented at the BIOMAT 2022 International Symposium, which was virtually held on November 7-11, 2022, with an organization staff based in Rio de Janeiro, Brazil.
Topics touched on in this volume include infection spread in a population described by an agent-based approach; the study of gene essentiality via network-based ...
Added: November 7, 2023
Degterev D. A., Сравнительная политика 2021 Т. 12 № 4 С. 82–97
The paper is dedicated to the key methodological problems of international and regional studies and the prospects for the formation of a unifi ed, «seamless» methodology. The author's refl ections are illustrated by examples from the collective monograph, ed. by Alexei D. Voskressenski “The Logic of the New World Architectonics and the Strategies of the ...
Added: September 8, 2023