
Telecommunication systems, networks and devices
Arrangement Remote Monitoring and Operation Automated Systems at the Section of Controlled Point ‒ Dispatch Point Based on Universal UCSUT-01 Controller
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E. Barbanel, M. Boikov, A. Buhinnik, V. Tochilov
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Abstract: Problem statement. The organizing of perspective automatic systems for distance control and operating (ASDCO) of industrial objects demands using the universal controllers (UC), including the admission of wire and radio interfaces for exchanging dates with dispatcher points (DP) and other controlling points (CP). For solution this problem, in SPbSUT were designed the universal controller named UCSUT-01, the structure and mane functions of it were described in this article. The purpose of the work. the exist algorithms of data collection from sensors and protocols of data transmission between DP and CP don’t provides in full measure the requirements to modern ASDCO. So in this article suggests the improved procedures of telemetering and protocols of data exchanging. Result: were made the analysis of technical requirements to UC CP and designed the procedures of current telecontrolling and archives forming, when the hourly average means and waveforms are remembered; are suggested the original protocols of data exchanging between UC and OPC-server; are discussed the increasing of information capacity of control parts wire local complexing of UC. Novelty: Universal controller, which was designed, with collection of original protocols of data exchange possess more wide function possibility then other types of controllers. Practical significance: the result of designing can be used to organize the modern Automatical telemetry systems.
Keywords: automatic system for collect and transmit telemetric information, controlling point, dispatcher point, universal controller, telemeasurement, telesignaling, teleoperation, teleregulation, setpoint, digital interface, communication channel, mobile communication, data transfer protocol, OPC technology, expansion module.
DOI 10.31854/2307-1303-2024-12-1-1-15
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Analysis of NR and LTE Target Signal Structure Based on Neural Network Approach and Deep Learning Methods
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A. Arefev, A. Varygin, G. Fokin
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Abstract: Purpose: the rapid development and consolidation of broadband wireless access networks of the fourth 4G LTE and fifth 5G NR generations determine the need to find ways to reuse frequencies. A well-known solution to this problem is the concept of cognitive radio. The use of artificial intelligence in radio networks in general and the use of a neural network approach with deep learning for recognizing signals of LTE and NR standards in particular have serious potential for the practical implementation of frequency resource reuse according to the concept of cognitive development. The aim of the work: is to analyze models, methods and algorithms that allow recognizing signals of the NR and LTE standards based on recording samples of radio signals obtained using pre-recorded NR and LTE signals in MatLab software. In this paper, the procedures for scanning and recognizing sections of the spectrum are considered. The operations of training a semantic segmentation network for the identification of these signals in a broadband spectrogram and the use of a trained network for subsequent spectrum sensing and recognition of signals of the NR and LTE standards are investigated. Methods: the method used to test the concept of cognitive radio is spectrum sensing, which results in information about the occupancy of frequency bands in a given location by primary users, and the identification of spectrum sections available for use by secondary users without interfering with the work of primary users in real time. The novelty of the work is the use of a neural network approach in the analysis of the target NR and LTE signal. Results: the model, trained on the basis of a neural network approach and deep learning methods, is able to distinguish between signals of the NR and LTE standards. Theoretical / Practical relevance: the software implementation of spectral sensing is implemented using an extension package in the MatLab environment and allows for experimental testing of a cognitive radio receiver when performing procedures for analyzing the structure of the target signal of the NR and LTE standards based on a neural network approach and deep learning methods.
Keywords: MatLab, LTE, NR, cognitive radio, semantic segmentation network, deep learning.
DOI 10.31854/2307-1303-2024-12-1-16-28
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Analysis of Metaverses Structure and Characteristics
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L. Gorbacheva, A. Volkov
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Abstract: Statement of the problem: The fundamental changes currently taking place in the development of networks and communication systems are concentrated in the concept of creating metaverses. Despite the fact that this concept appeared within the framework of the International Telecommunication Union only in 2023, research in this area already occupies the first line in scientific publications on networks and communication systems. In the Russian Federation, this area of investigation is currently not given the required attention. The goal of the paper is to analyze the documents of the Telecommunication Standardization Sector of the International Telecommunication Union (ITU-T) and determine the structure and characteristics of metaverses based on the results of the ITU-T focus group on metaverses. The method used is systems analysis. Result: definition, structure, including virtual and mirror worlds, characteristics of metaverses. Novelty: The conducted analysis allowed us to define the concept of the metaverse and its constituent worlds: virtual world and mirror world, as well as an important feature of metaverses such as logging, which is a log of the life of users and objects. These results allow us to accurately determine the vector of further research. Theoretical/Practical significance: a fundamental definition of metaverses, their structure and characteristics are obtained. From a practical point of view, the results obtained make it possible to begin a set of scientific investigations on metaverses on conceptual and systemic basis that meets international standards.
Keywords: metaverse, virtual world, mirror world, compatibility, multiverse.
DOI 10.31854/2307-1303-2024-12-1-29-39
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Decoding LDPC Codes with a Regular Check Matrix Structure Using the Bit Flip Method
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D. Kopylov, M. Mendelson, V. Egorov, V. Lyutin
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Abstract: Problem statement: low-density LDPC codes have become very popular in modern communication systems, which make it possible to implement decoders for them in practice. In conditions of severe limitations of equipment performance, the task of searching and researching the characteristics of decoding algorithms for these codes is urgent. The aim of the work is to find a simplified algorithm for decoding LDPC codes and to study the noise immunity of the proposed algorithm. The methods used: to solve this problem computer simulation is used to compare the noise immunity of known decoding algorithms and the proposed algorithm. Scientific novelty: the noise immunity characteristics of the proposed Bit Flip algorithm for decoding LDPC code with a regular structure of the check matrix using gradient descent and the procedure for escaping the local minimum are investigated. Result: a specific variant of the Bit Flip algorithm for LDPC code with a regular structure check matrix using gradient descent and a procedure for escaping the local minimum is proposed. The results of computer simulation are presented. Theoretical significance: the characteristics of noise immunity for the proposed variant of the LDPC code decoding algorithm with a regular structure of the check matrix are investigated. Practical significance: when using the proposed LDPC code decoding algorithm in the receiver, it is possible to calculate the parameters of the communication system based on the available dependencies of the error coefficient on the signal-to-noise ratio.
Keywords: noise-resistant codes, LDPC code, Check Matrix, Bit Flip, Gradient descent method.
DOI 10.31854/2307-1303-2024-12-1-40-56
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IPv6NC Network Coding Protocol Based on IPv6 Extension Headers
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S. Vladimirov
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Abstract: Subject of the research. The paper presents a new IPv6NC network coding protocol based on the use of IPv6 network protocol extension headers. Purpose. Development of a data transfer protocol based on the analysis of existing principles and models of network coding, as well as the use of IPv6 protocol extension headers to transfer network coding parameters. Methods. Analysis of existing principles and models of network coding, as well as the use of IPv6 extension headers for transmitting network coding parameters. Results. The paper describes application of developed protocol for different network coding approaches and presents network coding parameters to be transmitted in packet headers to perform network coding and guideline of their representation in the type-length-value format for standard IPv6 extension headers. Also the paper gives the structure of a special extension header for transmitting network coding parameters. Novelty. For the first time, IPv6 uses extension headers for networc coding. Practical relevance. The developed protocol is intended for the implementation of multicast transmission and relay with network coding in various data transmission systems.
Keywords: network coding, IPv6, extension headers, IPv6NC.
DOI 10.31854/2307-1303-2024-12-1-57-69
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