Telecommunication systems, networks and devices
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ARTIFICIAL INTELLIGENCE DRIVEN 5G AND BEYOND NETWORKS
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Ali R. Abdellah, A. Koucheryavy
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Abstract: 5G networks and beyond are expected to meet numerous service requirements in various aspects of our daily lives. At the same time, the functional complexity of 5G telecommunication networks increases by an order of magnitude compared to existing networks. 5G data rates are dramatically faster, connection density is higher, and latency is much lower, among other improvements. An efficient 5G network cannot be complete without incorporating artificial intelligence (AI) techniques. All this requires the use of new technologies, including artificial intelligence, to ensure the stable operation of telecommunication networks, methodology, system analysis, and key results. Scientific tasks for 5G communication networks are identified where the use of artificial intelligence, including machine and deep learning, seems appropriate. Practical Relevance. The results of the work may be useful in training in networks and telecommunication systems and in defining new scientific tasks for PhD students.
Keywords: 5G, machine learning, deep leaning, prediction.
DOI 10.31854/2307-1303-2022-10-2-1-13 |
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THE ROLE OF OPTICAL WIRELESS COMMUNICATION TECHNOLOGIES IN 5G, 6G
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S. Obukhov, V. Elagin
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Abstract: The article is devoted to the selection of technology for wireless data transmission in 5G, 6G networks with a speed of more than 1 Gbit/s. In the scientific literature noted the disadvantages in the use of the method of data transmission via radio waves and the inability to effectively use radio as a communication channel in 5G, 6G networks. In this regard, the article describes the features, key characteristics, requirements for new generation cellular networks. Various wireless optical communication (OWC) technologies and their physical characteristics are considered. The scientific novelty lies in the consecration and generalization of this problem in Russian. According to the results of the study, it was concluded that optical communication can be used as an effective solution for the successful deployment of 5G, 6G networks.
Keywords: cellular communication, 5G, 6G, Internet of things, optical communication.
DOI 10.31854/2307-1303-2022-10-2-14-24
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AUTOMOTIVE NETWORK ARCHITECTURE BASED ON UAVS, SDN AND HETEROGENEOUS EDGEC OMPUTING
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V. Kovalenko, A. M. Al-Sveiti Malik, A. Muthanna
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Abstract: Research subject is the use of UAVs, a multi-layer cloud MEC system and fog computing technology to reduce the load on the core network and reduce round-trip de-lay in vehicle networks and in the Smart City infrastructure; using multiple types of SDN controllers. Research method – analysis of standards and recommendations in the field of SDN, MEC technologies; Fog and building UAV networks, as well as vehicle networks. Main results. Three possible types of SDN controllers depending on the area of data exchange are described in detail; describes the sequence of actions for the distribution of UAVs in areas of increased load, as well as for choosing the level of processing; detailed theoretical information about VANET chips and MEC technology is presented. Practical significance. The presented architecture will reduce the load on the core network and ensure the provision of ultra-low transmission delays in vehicles and Smart City infrastructure.
Keywords: UAV, UAV networks, SDN, SDN controller and switch, head node. Micro-Cloud, MiniCloud, Main Cloud, Base Stations, base station controllers, Fog cluster, vehicle networks VANET, «Smart City».
DOI 10.31854/2307-1303-2022-10-2-25-35
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ANALYSIS OF METHODS TO INCREASE THE EFFICIENCY OF IoT NETWORKS
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A. Paramonov, S. Bushelenkov
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Abstract: The article analyzes the problems of improving the efficiency of Internet of Things networks by using rational routing methods. A model for describing efficiency based on traffic quality of service indicators is proposed, as well as methods for choosing a route and a group of routes that take into account mutual influences between network nodes. Subject of study. The subject of the study is the wireless networks of the Internet of things. Method. The study uses analytical methods for estimating the delay in data delivery, taking into account the mutual influences of network nodes, as well as the simulation method. The paper shows that a rational choice of transit nodes can be made at which the minimum data delivery time is achieved. Main results. The results of the work are an IoT network model in the tasks of choosing routes in a high-density boarding network and a method for constructing a group of routes that minimizes their mutual dependence. Practical significance. The practical significance of the obtained results lies in the proposal of a method for choosing routes in a high-density Internet of Things network.
Keywords: Internet of Things, route, data transfer rate, optimal route length, transit node.
DOI 10.31854/2307-1303-2022-10-2-36-52 |
System analysis, information management and processing, statistics
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AUTOMATION OF ACCOUNTING FOR THE RESULTS OF INTELLECTUAL ACTIVITY
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E. Anikevich, V. Proshchenkov, O. Shiropatin
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Abstract: To register the results of intellectual activity at the Federal Institute of Industrial Property, it is necessary to fill out a large number of similar documents, such a task can be informatized and generate documents according to a given template. A registration application form has been developed for the authors, where they fill in all the necessary fields, and data is saved from the form to the database. Templates were created in which data is inserted from the database, after which the document can be printed. The problem was solved using a web application developed in the PHP programming language.
Keywords: database, template document generation, result of intellectual activity.
DOI 10.31854/2307-1303-2022-10-2-53-62
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