Modern Communication Systems Research Articles

Relationship Marketing and Sustainable Competitive Advantage at Tema Branch of Zoomlion Ghana Limited

The competitive business environment shows that today’s business combat different and more complex factors to remain competitive in their field of endeavour. In the service industry, the emphasis is placed on customer identification, customer retention, customer satisfaction and fostering long term relationship. The purpose of the study was to identify how Zoomlion Ghana Limited can leverage on relationship marketing to create competitive advantage. The study adopted the qualitative research paradigm and a case study research design. The study was conducted in the Tema metropolises with the population being employees and customers of Zoomlion Ghana Limited. The sample procedure used was convenience and sample size comprised of 50 employees and 200 customers of the company. The data for the study was obtained primarily through questionnaire and analysed using SPSS. The study established employees understood their roles in adopting relationship marketing, however, employees lacked the necessary communication equipment to help facilitate the process. This also reflected in the challenges employees faced in establishing relationship with customers. Also, Zoomlions Company Ltd.’s working environment proved not to encourage innovation among employees. The study recommended that Zoomlion should invest in modern communication system that will enhance communication, trust, and commitment as a basis for establishing relationship marketing strategy.

A Multiband and Multifunctional Metasurface for Linear and Circular Polarization Conversion in Reflection Modes

Multifunctional integrated meta-devices are the demand of modern communication systems and are given a lot of attention nowadays. Most of the research has focused on either cross-polarization conversion (CPC) or linear-to-circular (LP–CP) conversion. However, simultaneously realizing multiple bands with good conversion efficiency remains crucial. This paper proposes a multiband and multifunctional dual reflective polarization converter surface capable of converting a linearly polarized (LP) wave into a circularly polarized (CP) wave, in frequency bands of 12.29–12.63 GHz, 16.08–24.16 GHz, 27.82–32.21 GHz, 33.75–38.74 GHz, and 39.70–39.79 GHz, with 3 dB axial ratio bandwidths of 2.7%, 40.15%, 14.6%, 13.76%, and 0.2%, respectively. Moreover, the converter is capable of achieving CPC with a polarization conversion ratio (PCR) that exceeds 95%, within the frequency ranges of 13.10–14.72 GHz, 25.43–26.00, 32.46–32.56 GHz, and 39.14–39.59 GHz. In addition, to identify the fundamental cause of the CPC and LP–CP conversion, a comprehensive theoretical investigation is provided. Furthermore, the surface current distribution patterns at different frequencies are investigated to analyze the conversion phenomena. A sample prototype consisting of 20 × 20 unit cells was fabricated and measured, verifying our design and the simulated results. The proposed structure has potential applications in satellite communications, radar, stealth technologies, and reflector antennas.

ОСОБЛИВОСТІ АНІЗОТРОПНОГО БІПОЛЯРНОГО ТЕРМОЕЛЕМЕНТА

Modern information communication networks include monitoring subsystems. The operation of monitoring subsystems is based on the operation of various sensors. Among the sensors used in the monitoring subsystems, thermoelectric sensors occupy an insignificant share. In order for thermoelectric sensors to become more widespread, it is necessary to solve the problem of a small value of thermoelectric efficiency. It is proposed to solve this problem by switching to sensors based on anisotropic bipolar thermoelement. In the presented work, the influence of thermoelectric vortices with turbulent flow on the sensitivity of sensors based on anisotropic bipolar thermoelements was studied. The dependence of the value of the transverse thermal-EMF of this structure on the anisotropy coefficient K of the anisotropic bipolar thermoelectric material was determined. Corresponding singular points and limits of their existence are revealed. The dependence of the directions of rotation of vortices with a turbulent nature of the flow on the direction of approach to these points was established. The temperature sensitivity of the sensor based on an anisotropic bipolar thermoelement made of single crystals of cadmium antimonide with both unipolar and bipolar characteristics was evaluated. Research results show a significant increase in the temperature sensitivity of such sensors based on anisotropic bipolar thermoelements, which can be used as thermal sensors for monitoring individual elements of the information communication system. Such thermoelements will have an improved coefficient of temperature dependence of volt-watt sensitivity compared to anisotropic unipolar thermoelements. The conducted numerical calculations show the prospects of using anisotropic bipolar thermoelements as sensors for monitoring modern information and communication systems for collecting information, both about the system itself and the environment.

Synthesis of Antenna Array Radiation Pattern at Large Scanning Angles Using Genetic Algorithm

At present, in most modern communication systems, for example, in modern satellite terminals, the use of scanning beam antennas, i. e. antenna arrays is assumed. At the same time, at large scanning angles, the side lobe level (SLL) increases strongly and decrease in the gain is observed. In this regard, the problem of finding a procedure for synthesizing an amplitude-phase distribution (APD) with low SLL and high gain (G) at large scanning angles comes up. One of the ways to reduce SLL and compensate for the decrease in G is to synthesize the optimal APD (in terms of the maximum G and minimum SLL) using optimization algorithms. At the same time, taking into account the characteristics of the radiation pattern of the array emitters requires numerical electrodynamic calculation. The goal of this paper is to develop a procedure for the synthesis of APD with low SLL for linear and rectangular antenna arrays at various, including large, scanning angles and compensation for G reduction using a genetic algorithm and numerical electrodynamic calculation. The methods for studying the characteristics of antenna radiators are numerical electrodynamic modeling by the finite element method (FEM) in Ansys HFSS computer-aided design system and optimization of the APD for a given radiation pattern(RP) by a random search method using partial diagrams of antenna elements. The novelty is the combination of accurate numerical electrodynamic calculation of the RP of antenna elements and optimization search for APD for the synthesis of the required RP using partial diagrams. As a result, a procedure for APD synthesis of linear and uniform rectangular equidistant (for example, 8- and 64-element) antenna arrays has been developed, taking into account the exact electrodynamic characteristics of antenna elements and their mutual resistance. Radiation patterns were obtained taking into account the effect of neighboring elements, with the help of which, using a genetic algorithm, APDs on emitters were found at different scanning angles. The change in SLL and G of the antenna array is analyzed at different scanning angles using different APDs. The proposed algorithm allows to synthesize APD for a RP with low SLL and high G at scanning angles up to 40° for linear antenna array and up to 80° in the case of a uniform rectangular antenna array. The results of this work are relevant in the problems of radiation pattern synthesis, since the proposed solution provides a significant gain in the radiation pattern synthesis rate of APD of linear and rectangular antenna arrays, especially for systems with a large number of antenna elements. At the same time, it is possible to maintain a high G at large scanning angles, and achieve a significant reduction of SLL.

Performance Analysis and Simulation of IRS-Aided Wireless Networks Communication

This paper introduces the novel IRS-based Optimal Relay Selection (ORS-IRS) method, aimed at analyzing the performance of wireless communication systems with an emphasis on symmetry. The ORS-IRS approach presents an innovative communication algorithm that seamlessly integrates Intelligent Reflecting Surfaces (IRS) with relay selection techniques. Through adaptive adjustments of reflection coefficients, IRS elements efficiently manipulate incoming signals, fostering symmetry in signal strength enhancement and latency reduction for improved signal delivery to the intended destination. This symmetrical optimization in channel capacity and transmission power ensures reliable data transmission with low latency, achieved through the seamless integration of IRS and relay selection techniques. In contrast, the Cell-Free Massive MIMO (CF-M-MIMO), with its decentralized architecture, excels in serving a larger user base and attaining remarkable capacity gains, showcasing a different dimension of symmetry. The Decode-and-Forward (DF) relaying approach demonstrates its potential in enhancing signal reliability across extended distances, contributing to the overall symmetry of the comparative analysis. This comprehensive evaluation provides valuable insights into selecting appropriate transmission strategies, particularly for applications that demand high capacity and reliability in the design of modern wireless communication systems with a symmetrical focus.

STATE OF ART ON MICROSTRIP RESONATORS, FILTERS, DIPLEXERS AND TRIPLEXERS

In today's world, communication is essential for various aspects of life. From military operations and medical systems to community networks, communication plays a crucial role in ensuring the smooth functioning of these applications. With the advancement of technology, communication has become more efficient and has significantly reduced the barriers of distance, bringing people and nations closer together. One of the key components of modern communication systems is microstrip devices. These devices are used in a wide range of applications, including filters, diplexers, and triplexers. Filters are used to selectively allow certain frequencies to pass through while blocking others, making them essential for signal processing and interference reduction in communication systems. Diplexers and triplexers are used to combine or separate multiple signals, allowing for more efficient use of the available frequency spectrum. This article aims to provide an overview of the state-of-the-art microstrip devices used in communication systems. It will review previous studies and advancements in the field, providing insights into the latest developments and technologies. By understanding the current state of research and development in microstrip devices, engineers and researchers can gain valuable knowledge to improve the performance and efficiency of communication systems. Furthermore, the article will explore the potential applications of microstrip devices in various communication systems, such as satellite communications, wireless networks, and radar systems. Understanding the capabilities and limitations of these devices will be crucial for optimizing their performance in different scenarios. Overall, this article will serve as a comprehensive resource for anyone interested in the role of microstrip devices in communication systems. Delving into the scope of filters, diplexers, and triplexers, will provide valuable insights into the advancements and potential future developments in this important area of technology.

The model of a discrete communication channel in the control channel of satellite communication systems

The control channels used in modern satellite communication systems (CCC) for multiplexers used in modern satellite communication systems are designed to transmit control messages regarding changes in the frame structures of organized compressed digital streams. Increased requirements are placed on the reliability of messages transmitted in these channels compared to messages transmitted in sealed channels. In the presence of phase flickering, as well as with a decrease in the signal-to-noise ratio (SNR) in communication channels formed on the basis of convolutional codes, the effect of grouping errors occurs at the input of decoders of noise-resistant codes in control channels. Therefore, information about the statistical properties of messages received at the input of a decoder designed to ensure the reliability of control channel messages is important in the synthesis of decoding algorithms capable of taking into account these statistical properties.

Examination of Transmission Zeros in the MIMO Sensor-Based Propagation Environment Using a New Geometric Procedure

In this paper, we propose the application of a new geometric procedure in order to calculate a set of transmission zeros of a propagation environment. Since the transmission zeros play a crucial role in modern communication systems, there is a need to apply the efficient solutions characterized by a maximum speed operation. It turns out that the classical method based on the Smith–McMillan factorization is time-consuming, so its contribution to the detection of transmission zeros could be unsatisfactory. Therefore, in order to fill the gap, we present a new algorithm strictly dedicated to the multivariable telecommunications systems described by the transfer-function approach. Consequently, a set of new achievements resulted, particularly in terms of computational efforts. Indeed, the proposed procedure allows us to overcome obstacles derived from technological limitations. The representative simulation examples confirm the great potential of this new method. Finally, it has been pointed out that the newly introduced geometric-originated approach has significantly reduced the computational burden. Indeed, for the randomly selected matrix of the 5×5 dimension describing the sensor-related propagation environment, two representative scenarios were performed in order to manifest the crucial properties. In the first scenario, the sets of multiple transmission zeros were analyzed, ultimately leading to intriguing results. The Smith–McMillan solution took three times longer to discover the mentioned sets. On the other hand, the second instance brought us the same result. Naturally, the discussed difference has increased as a function of the number of matrix elements. For the square matrices involving 100 components, we have observed the respective differences, both over QI=100 and QII=60. It should be emphasized that the finding derived from the Smith–McMillan factorization corresponds to the geometric-related approach in the context of some mechanisms. This is particularly visible when appointing the greatest common divisors.

Modeling of radio monitoring systems on signals of short-wavelength adaptive radio communication systems

The article describes the structure of a model that allows to evaluate the effectiveness of the radio monitoring system on the signals of flexible shortwave radio communication systems in adverse conditions of external interference. This model is characterized by the ability of modern short-range communication systems to establish radio communication and automate the processes of guaranteed transmission of information, adapt to the noise situation in the shortwave range, the organization of analog and digital communication networks.

Spectral Efficiency for Orthogonal Frequency Division Multiplexing

Orthogonal Frequency Division Multiplexing (OFDM) is a special form of multicarrier modulation (MCM) with heavily spaced subcarriers as well as overlapping spectra was patented in the United States of America in 70s. Orthogonal Frequency Division Multiplexing has been popularly utilized in modern days due to its ability for spectral efficiency and robustness to noise and fading. It provides flexibility and agile spectrum allocation in case of cognitive radios. This paper will focus on OFDM research and simulation for enhancement of spectral efficiency. OFDM is especially compatible for high-speed wireless communication due to its resistance to Inter symbol Interference. As in modern days communication systems has increased their data transfer speed, the required time for each transmission has become very short. As delay time due to multipath remains constant, Inter symbol interference became limitation in high-data-rate communication. OFDM avoids this difficulty by transmitting numerous low speed transmissions simultaneously

Research on Application of Single Chip Microcomputer in Modern Communication System

The application of single chip microcomputer in modern communication system is deeply studied. Firstly, the main types and characteristics of microcontroller are described in detail, including microcontroller classified according to microprocessor architecture, memory type and use environment. Then, it discusses the main application fields of microcontroller in wireless communication, wired communication and optical communication, and analyzes its practical application in these fields. On this basis, the main challenges and problems encountered in modern communication systems are discussed, such as the complexity of design and production, power consumption, compatibility and expansibility. Finally, the solutions to these challenges and problems are put forward, and the future development trend of single-chip microcomputer in modern communication system is discussed.

Communication-Aware Control of Large Data Transmissions via Centralized Cognition and 5G Networks for Multi-Robot Map merging

Multiple modern robotic applications benefit from centralized cognition and processing schemes. However, modern equipped robotic platforms can output a large amount of data, which may exceed the capabilities of modern wireless communication systems if all data is transmitted without further consideration. This research presents a multi-agent, centralized, and real-time 3D point cloud map merging scheme for ceaselessly connected robotic agents. Centralized architectures enable mission awareness to all agents at all times, making tasks such as search and rescue more effective. The centralized component is placed on an edge server, ensuring low communication latency, while all agents access the server utilizing a fifth-generation (5G) network. In addition, the proposed solution introduces a communication-aware control function that regulates the transmissions of map instances to prevent the creation of significant data congestion and communication latencies as well as address conditions where the robotic agents traverse in limited to no coverage areas. The presented framework is agnostic of the used localization and mapping procedure, while it utilizes the full power of an edge server. Finally, the efficiency of the novel established framework is being experimentally validated based on multiple scenarios.

Harnessing the Power of Supercomputers: Solving Complex Mathematical Problems and Queueing Theory

Supercomputers represent the pinnacle of computational power, offering unparalleled capabilities to tackle complex mathematical problems across various domains. This paper provides a comprehensive overview of the ways supercomputers are utilized in solving intricate mathematical issues, ranging from understanding the nature of these problems to exploring the challenges and future directions in the field. Supercomputers play a critical role in the practical applications of queueing theory across various industries by enabling the analysis and optimization of complex systems that involve waiting lines and service processes. In telecommunications networks, for instance, supercomputers are used to model and optimize traffic flow, ensuring efficient data transmission and minimal latency. By simulating network conditions under different traffic loads and service protocols, supercomputers help identify optimal resource allocations and configurations, significantly improving network reliability and performance. This capability is crucial for managing the ever-increasing data demands of modern communication systems.

A Federated Learning-Based Resource Allocation Scheme for Relaying-Assisted Communications in Multicellular Next Generation Network Topologies

Growing and diverse user needs, along with the need for continuous access with minimal delay in densely populated machine-type networks, have led to a significant overhaul of modern mobile communication systems. Within this realm, the integration of advanced physical layer techniques such as relaying-assisted transmission in beyond fifth-generation (B5G) networks aims to not only enhance network performance but also extend coverage across multicellular orientations. However, in cellular environments, the increased interference levels and the complex channel representations introduce a notable rise in the computational complexity associated with radio resource management (RRM) tasks. Machine and deep learning (ML/DL) have been proposed as an efficient way to support the enhanced user demands in densely populated environments since ML/DL models can relax the traffic load that is associated with RRM tasks. There is, however, in these solutions the need for distributed execution of training tasks to accelerate the decision-making process in RRM tasks. For this purpose, federated learning (FL) schemes are considered a promising field of research for next-generation (NG) networks’ RRM. This paper proposes an FL approach to tackle the joint relay node (RN) selection and resource allocation problem subject to power management constraints when in B5G networks. The optimization objective of this approach is to jointly elevate energy (EE) and spectral efficiency (SE) levels. The performance of the proposed approach is evaluated for various relaying-assisted transmission topologies and through comparison with other state-of-the-art ones (both ML and non-ML). In particular, the total system energy efficiency (EE) and spectral efficiency (SE) can be improved by up to approximately 10–20% compared to a state-of-the-art centralized ML scheme. Moreover, achieved accuracy can be improved by up to 10% compared to state-of-the-art non-ML solutions, while training time is reduced by approximately 50%.

An Analytical Investigation on the Performance of 1D and 2D Antenna Arrays for mm-Wave Modern Communication Systems

Millimeter wave (mm-Wave) wireless technology has invaded every aspect of modern life because of its ability to transmit data quickly and securely. This paper presented a square patch antenna at a resonance frequency of 26.2GHz for millimeter wave wireless communication. The proposed antenna consists of single square radiating element. The suggested antenna was designed using CST Microwave Studio’s version 2020 on a Rogers RO 3003 lossy substrate with a relative permittivity of 3 . The result of this paper shows a minimum S11 of 19.34 dB, a gain of 6.97dBi, with bandwidth of 2GHz at the resonant frequency of 26.2GHz. The gain was enhanced to 16dBi and 25.8dBi with a high radiation efficiency by converting the single element patch antenna to a uniform linear array of 8 elements and uniform planar array of 8 × 8 elements respectively. The simulation results show that despite the simple design of the patch (without holes and cracks), which facilitates manufacturing in a small size; However, it achieves higher gain than the more complex designs found in the previous literature to suit mm wave communication requirements. Also, we used CST Microwave Studio for simulation which provides two methods for implementing arrays: the array factor method, which builds virtual arrays (the direct method), or building arrays by repeating the elements depending on the required size of the array, A comparison has been conducted between the numerical analysis of both methods, and the results show that even though the numerical analysis of the second method gives more accurate results that can be close to a manufactured antenna array, it needs high processing ability and time. Creating arrays with array factor may save time and processing ability but the results may not be accurate. Therefore, a relation was driven to show the error that can be added to give precise results.

A new approach to implement stream cipher using memristor-based Chua’s circuit for secure communication

The advancement in cryptographic algorithms is the primary need for modern secure communication systems. In secure communication system, the stream cipher serves the basis for cryptographic algorithms. The properties of cryptographic algorithms are often analyzed on the basis of randomness involved in implementing cipher texts while complexity of the hardware is also taken care of. Therefore, the main objective of this paper is to propose a new stream cipher scheme having higher complexity (high degree of randomness) while keeping the hardware as simple as possible. The proposed stream cipher algorithm gives the new direction to develop the highly secure and simple models in communication field. The proposed scheme offers the benefit of adjusting variable-length key(s) according to the variable length of plaintext using modular arithmetic and memristor—based chaotic behavioral Chua’s circuit. To explain the encryption–decryption process at transmitter and receiver ends, the Devanagari script has been taken. Although, any other script or data type is supported by the proposed algorithm. In addition, the synchronization is also achieved without having any requirement of additional process.

AUTOMATIC DETECTION AND RECOGNITION OF DIGITAL MODULATED SIGNALS USING A NEURAL NETWORK

Issues on automatic detection and recognition of digital modulated signals are becoming increasingly relevant in modern communication systems. These processes play a key role in ensuring reliable and efficient communication in a wide range of areas, from mobile communication to broadcasting and satellite systems. The importance of these processes continues to grow with the increase in the amount of data transmitted through these systems and with the development of new communication technologies. Accurate detection and classification of signals allow communication systems to correctly interpret the transmitted information, which, in turn, ensures the reliability and efficiency of data transmission. This is especially important in conditions when signals are subject to various types of interference and distortions. Therefore, the development and improvement of the methods for automatic detection and recognition are becoming increasingly important for ensuring high-quality communication. The present article presents a neural network-based system capable of automatically detecting signals with a single carrier frequency in the range up to 6 GHz and classifying four types of digitally modulated signals: BPSK, QPSK, 16-QAM, and 64-QAM. The system is capable of operating in the presence of additive white Gaussian noise, phase and frequency offset in the received signal. The algorithms for detection and recognition of signals, developed in the LabVIEW software environment are presented. The architecture and hyperparameters of the neural network allowing quick and efficient training of the network are described. These algorithms and training methods can be applied and adapted for other systems and applications, making them very useful for a wide range of tasks. The system was tested both on simulated signals and in a real communication channel. The results obtained confirm the effectiveness of the proposed methods and emphasise their potential for further application and research.

An online tunable TE11 dual-circular polarizer applied for modern high-power radar system

Circular polarizers have essential applications in modern radar and communication systems. However, an online tunable wideband dual-circular polarizer with a power capability of more than 150 kW in the Ku band has not been reported yet, and it has recently become a fundamental problem for developing some high-power radar systems. This paper has designed an overmoded waveguide operating in the TE11 mode with a non-contact cutting-off choke to imply a high power capability. A high-precision stepping motor is used to control the rotation of an elliptical waveguide remotely, and then, the left-hand and right-hand circular polarizations can be switched online. The dual-circular polarizer has been fitted on a 150 kW gyro-TWT high-power test system, and the experimental results show a tremendous high-power capability. The microwave leakage caused by the non-contact gap is reduced to less than −35 dB. The polarization bandwidth exceeds 2.5 GHz in the Ku band, and the axial ratio is better than 1.3 dB. This design concept provides a reference for future high-power radar systems.

Facile strategy for intrinsic low-κ dielectric polymers: molecular design based on space charge conservation.

The growing need for high-power and compact-size microelectronic integrated circuits (ICs) in modern microelectronic industries and 5G communication systems demands low dielectric constant (κ) polymer dielectrics with excellent temperature capability, mechanical property and processability. However, conventional molecular design strategies often face difficulties of a trade-off between optimizing the dielectric performance of polymers and maintaining the aforementioned properties. Herein, we present an innovative and facile strategy that utilizes the space charge distribution characteristics of the target co-monomer to solve this trade-off. Based on this design strategy, a novel polyaryl ether ketone (PAEK) with two different charge distribution units (BAF and SBI) was designed and synthesized. Both the experimental results and computational simulations confirm that these two components serve to weaken the polarization of molecular chains in the electric field, induce higher molecular chain packing density and fewer weaknesses, and synchronously regulate the κ, dielectric loss (tan δ), thermal and mechanical properties and processability by generating a strong inter-chain electrostatic interaction. The resultant copolymer, PAEK-4F6S, exhibits exceptional low κ and tan δ values of 1.98 and 0.0024 at 1 MHz, respectively, and these values remain stable over a broad frequency (1-106 Hz, 8.2-12.4 GHz) and temperature range (30-150 °C). Furthermore, the resultant copolymer demonstrates excellent thermal stability and mechanical properties, with a glass transition temperature (Tg) of 195 °C, 5 wt% decomposition temperature (Td5%) of 498 °C under N2, tensile strength of 63.5 MPa and tensile modulus of 1011.2 MPa, respectively. The synthesis procedure of these resultant copolymers is facile, and they are found to have favorable solution and melt processing properties, making them suitable for processing and scalable production. More importantly, this design strategy is beneficial for lowering the κ and tan δ values, and simultaneously enhancing the comprehensive performances of the objective polymers, which provides a completely novel and facile approach for the design and fabrication of high performance low-κ polymers suitable for the needs of microelectronics and communication fields.

ANALYSIS OF ALGORITHMS FOR THE FORMATION OF CODE STRUCTURES AFFECTING THE QUALITY OF DATA TRANSMISSION IN INFOCOMMUNICATION SYSTEMS

Achieving the best quality indicators of transmission through the channels of modern communication systems is always of urgent importance for developers and users of information communication systems. At the same time, to ensure high transmission reliability and performance, various coding methods and methods of converting the transmitted data can be used. Accordingly, each of the proposed data processing methods has its advantages and disadvantages, which determines their attractiveness or application limitations for the data being transmitted. In this paper, the analysis of algorithms for forming signal code structures of traditional interference-resistant positional codes, codes with an even number of units, and a nine-element Hamming code is carried out. Classical positional coding is inferior in such important data transmission parameters as information capacity and entropy. However, in some cases, for example, when the results of data transfer quality parameters calculations are significantly influenced by the language of the transmitted textual information or the volume of the analyzed text (the influence is more likely to be noticeable in individual cases, and not in general), then an important value acquires the possibility of applying a certain/adapted type of encoding of the transmitted data. The article conducts theoretical research and calculates the main qualitative parameters of the studied code constructions for various initial conditions. A comparative analysis and assessment of the influence of the studied parameters on the quality of data transmission was carried out. Conducted theoretical studies show that, under certain conditions, positional coding provides a significant gain in the main quality indicators of data processing and can be successfully applied for coding and transmission of digital data through the channels of modern information transmission systems. In order to practically confirm the reliability of the obtained results, relevant studies should be conducted, for example, with simulation on a software model of a virtual transmission system with different coding principles on modern computer systems.