Vol 9, No 3 (2023)

Articles

Quality Analysis of Matrix Masking of Digital Audio Data

Grigoriev E.K., Sergeev A.M.

Abstract

This article considered the guarantee of confidentiality task of audio information transmitted over a packet communication channel. Domain analysis showed, that in most cases cryptographical method used for guarantee of confidentiality of audio information, however, along with them, matrix methods of protective coding used, with implementation on FPGA or DSP processors. These methods, using random matrices, impose additional instrumental errors during decoding. The purpose of the study: is to assess the quality of protective coding ‒ masking of audio data by quasi-orthogonal structured matrices. The proposed method of masking digital audio information by quasi-orthogonal matrices differs from the known ones in predictable results and simplity of implementation. An alternative approach to the classical use of metrics is proposed for evaluating the result of masking. It is based on the analysis of the spectral component of the signal. It is shown that masking with a square Mersenne ‒ Walsh matrix brings digital audio information, presented in the form of a matrix, to a form close in spectrum to white noise. This reliably protects it in the communication channel from unauthorized access. The obtained results showed that the proposed method is promising and suggests the study of the influence of the choice of orthogonal matrix structures and their sizes on the results of masking.
Proceedings of Telecommunication Universities. 2023;9(3):6-13
pages 6-13 views 60

Graph Neural Networks for Traffic Classification in Satellite Communication Channels: A Comparative Analysis

Do P.H., Le T.D., Berezkin A.A., Kirichek R.V.

Abstract

This paper presents a comprehensive comparison of graph neural networks, specifically Graph Convolutional Networks (GCN) and Graph Attention Networks (GAT), for traffic classification in satellite communication channels. The performance of these GNN-based methods is benchmarked against traditional Multi-Layer Perceptron (MLP) algorithms. The results indicate that GNNs demonstrate superior accuracy and efficiency compared to MLPs, emphasizing their potential for application in satellite communication systems. Moreover, the study investigates the impact of various factors on GNN algorithm performance, providing insights into the most effective strategies for implementing GNNs in traffic classification tasks. This research offers valuable knowledge on the benefits and prospective use cases of GNNs within satellite communication systems.
Proceedings of Telecommunication Universities. 2023;9(3):14-27
pages 14-27 views 58

Application Layer Cooperative Automatic Repeat Request Method for Data Streaming over UAVs Network

Lamri M.A., Abilov A.V., Presnetsov A.M.

Abstract

In this article, an evaluation study was conducted on an Application Layer Cooperative Automatic Repeat ReQuest Algorithm ALC-ARQ designed for data streaming over a Wi-Fi Unmanned Aerial Vehicles standalone networks. A simulation model in NS-3 was implemented to investigate the performances of the method and conduct a comparative analysis with well-known routing protocols such like Ad hoc On Demand Distance Vector (AODV) and Optimized Link State Routing Protocol (OLSR) in terms of declaring link state information, rapidity of relaying and transmission range. The QoS metrics measured was Packet Loss Rate (PLR) and One-way Transmission Delay. Results show that the proposed method consistently outperform the classical routing protocols it terms of rapidity of relying and transmission range. In addition, the results show that the method maintains its stability it terms of packet recovery along the relay-node transmission range and keeps the QoS metrics under the permissible rates.
Proceedings of Telecommunication Universities. 2023;9(3):28-41
pages 28-41 views 56

A Model for Integrating Edge Computing into an Air-Ground Network Structure and Offloading Traffic Method for High and Ultra-High Densities Internet of Things Networks

Muthanna A.S.

Abstract

The scientific challenge of incorporating edge computing into the air-ground network architecture for high and ultra-high density Internet of Things networks is the focus of this article. These issues are particularly important right now because of the concept of "space‒air‒ground‒sea" inegrated networks. A mechanism for offloading traffic from the ground network to mobile edge computing servers on UAVs has also been devised. This network model suggests using mobile edge computing servers deployed on unmanned aerial vehicles (UAVs) to reduce latency and power consumption. At the same time, a software profiler is utilized on the terminal devices to identify the difficulty of the computed task and, based on that determination, a three-level technique for offloading traffic is used.
Proceedings of Telecommunication Universities. 2023;9(3):42-59
pages 42-59 views 68

Methodology for Accounting the Influence of Parameters of a Spherical Underlying Surface with Finite Conductivity on VLF Antennas Characteristics

Tipikin A.A., Potapov D.S.

Abstract

The Earth's underlying surface has a significant impact on the characteristics of antennas and the energy parameters of the radio path. Although the theoretical aspects of the influence of the finite conductivity of the underlying surface on antennas have been sufficiently studied, there is a need for the development of a specific methodology that would allow to automize energy parameters calculations of radio paths using the wavehop method. This article presents a methodology for accounting for the electrical characteristics of the subsoil surface, which differs in its ability to use digital maps and automate calculations. It also includes separate calculation results for correcting antenna coefficients that confirm the theoretical calculations. The developed methodology can be used for calculations of energy parameters of radio paths using the wavehop method.
Proceedings of Telecommunication Universities. 2023;9(3):60-66
pages 60-66 views 47

Development of an Accessibility Testing System for the Virtual Machine Deployment Service in the Cloud

Marchenko A.G., Shchemelinin D.A.

Abstract

This paper presents a developed system for testing the accessibility of the virtual machine deployment service in the cloud. The methods used for monitoring cloud systems based on open-source solutions such as Kubernetes, Prometheus, and Selenium are discussed. The key stages of the system design are described, including requirements gathering and analysis, architecture, and implementation features. This system allows for the prevention of potential issues before they arise, as well as increasing IT service reliability. Integration with open-source systems helps to reduce the cost of system development and operation and speeds up implementation time. Additionally, this system can be quickly adapted and customized to meet specific needs. To analyze the feasibility of building the system, production statistics of virtual machine reservations were collected using the Prometheus monitoring system.
Proceedings of Telecommunication Universities. 2023;9(3):68-73
pages 68-73 views 50

Development of a Model Network and an Analysis of Network Traffic for Controlling Robot Manipulators

Gorbacheva L.S.

Abstract

The issue of controlling robotic manipulators remotely via a communication network is covered in the article. The built model network's structure is shown, and its key elements are detailed. It was designed to intercept and analyze network traffic generated during remote control of robotic manipulators. The main traits of the network traffic that was intercepted for four different applications of using a robot manipulator in the fundamental interaction scenario are presented. These traits also take into account the use of the author proposed improved network algorithm for controlling robot manipulators or their clusters. The self-similarity coefficient of the received network traffic was estimated.
Proceedings of Telecommunication Universities. 2023;9(3):75-81
pages 75-81 views 55

A Method for Time Characteristics Calculating in the Service Platforms of Infocommunication Transactional Services with Parallel Requests Processing

Redrugina N.M.

Abstract

This paper addresses the problem of combining loosely coupled services into a single workflow and investigates methods for calculating its time characteristics. The goal of the study is to provide quality control over service quality and to identify bottlenecks in the information system. In addition to the analysis of request service processes in chains of local transactions, the possibility of introducing mass service tools, such as paralleling service by Fork-Join system, which can increase the efficiency of service and improve the performance of the system is considered. The paper considers the mathematical apparatus of Jackson networks, which is used to determine the time characteristics of the workflow of the transaction system as a network of mass service systems. The main result of the research is the development and presentation of a mathematical tool for determining the time characteristics of the workflow of a transactional system. The developed mathematical apparatus can be used to calculate the time characteristics of work processes in the developed and operated information systems, to ensure a high level of service quality.
Proceedings of Telecommunication Universities. 2023;9(3):82-90
pages 82-90 views 69

Method of Throughput Calculation for Microwave Link with Adaptive Modulation Under the Fading Conditions Inherent for Millimeter Waves

Stepanets I.V.

Abstract

The article is devoted to the development of a method for calculating the capacity of microwave links with adaptive modulation under fading conditions in millimeter wave range. The relationship between throughput and unavailability coefficient of microwave links with different transmission rate levels are is shown for a known distribution function of fading. The results of data analysis of fading statistics at microwave links in the E-band range (71–76/81–86 GHz) and meteorological statistics are presented. The relationship of both statistics was revealed and taken into account in the proposed analytical equation for the distribution function of fading. A comparative analysis of the calculation results of the unavailability coefficient and throughput at microwave links in the E-band range was carried out based on the proposed distribution function as well as based on the distribution functions of existing methods. High relevance of the developed method to the measurement results is shown.
Proceedings of Telecommunication Universities. 2023;9(3):91-103
pages 91-103 views 63

Hybrid-NOMA for Wireless Communication System

Khan R.

Abstract

The demand for spectral efficiency, security, energy efficiency, power efficiency, high data rate, and throughput increases with the advancement of wireless communication systems. Power domain non-orthogonal multiple access (NOMA) is one the famous algorithms to achieve the essential requirement of a wireless communication setup. This paper proposes a novel algorithm called hybrid NOMA (H-NOMA). The hybrid NOMA can improve power efficiency (PE), spectral efficiency (SE), symbol error rate (SER), and sum secrecy. It is based on Hybrid Constellation Shaping to support a wireless communication system. Security is another primary concern for all communication systems; the proposed H-NOMA also provides better secrecy capacity as compared to NOMA. This paper contains the basic structure of the proposed algorithm. Simulation analysis is done for the symbol error rate, energy efficiency, and secrecy capacity. Machine learning genetic algorithm is also used for the optimization of system parameters.
Proceedings of Telecommunication Universities. 2023;9(3):104-111
pages 104-111 views 60

Согласие на обработку персональных данных с помощью сервиса «Яндекс.Метрика»

1. Я (далее – «Пользователь» или «Субъект персональных данных»), осуществляя использование сайта https://journals.rcsi.science/ (далее – «Сайт»), подтверждая свою полную дееспособность даю согласие на обработку персональных данных с использованием средств автоматизации Оператору - федеральному государственному бюджетному учреждению «Российский центр научной информации» (РЦНИ), далее – «Оператор», расположенному по адресу: 119991, г. Москва, Ленинский просп., д.32А, со следующими условиями.

2. Категории обрабатываемых данных: файлы «cookies» (куки-файлы). Файлы «cookie» – это небольшой текстовый файл, который веб-сервер может хранить в браузере Пользователя. Данные файлы веб-сервер загружает на устройство Пользователя при посещении им Сайта. При каждом следующем посещении Пользователем Сайта «cookie» файлы отправляются на Сайт Оператора. Данные файлы позволяют Сайту распознавать устройство Пользователя. Содержимое такого файла может как относиться, так и не относиться к персональным данным, в зависимости от того, содержит ли такой файл персональные данные или содержит обезличенные технические данные.

3. Цель обработки персональных данных: анализ пользовательской активности с помощью сервиса «Яндекс.Метрика».

4. Категории субъектов персональных данных: все Пользователи Сайта, которые дали согласие на обработку файлов «cookie».

5. Способы обработки: сбор, запись, систематизация, накопление, хранение, уточнение (обновление, изменение), извлечение, использование, передача (доступ, предоставление), блокирование, удаление, уничтожение персональных данных.

6. Срок обработки и хранения: до получения от Субъекта персональных данных требования о прекращении обработки/отзыва согласия.

7. Способ отзыва: заявление об отзыве в письменном виде путём его направления на адрес электронной почты Оператора: info@rcsi.science или путем письменного обращения по юридическому адресу: 119991, г. Москва, Ленинский просп., д.32А

8. Субъект персональных данных вправе запретить своему оборудованию прием этих данных или ограничить прием этих данных. При отказе от получения таких данных или при ограничении приема данных некоторые функции Сайта могут работать некорректно. Субъект персональных данных обязуется сам настроить свое оборудование таким способом, чтобы оно обеспечивало адекватный его желаниям режим работы и уровень защиты данных файлов «cookie», Оператор не предоставляет технологических и правовых консультаций на темы подобного характера.

9. Порядок уничтожения персональных данных при достижении цели их обработки или при наступлении иных законных оснований определяется Оператором в соответствии с законодательством Российской Федерации.

10. Я согласен/согласна квалифицировать в качестве своей простой электронной подписи под настоящим Согласием и под Политикой обработки персональных данных выполнение мною следующего действия на сайте: https://journals.rcsi.science/ нажатие мною на интерфейсе с текстом: «Сайт использует сервис «Яндекс.Метрика» (который использует файлы «cookie») на элемент с текстом «Принять и продолжить».