RUSSIAN EQUIPMENT FOR 5G/IMT-2020 NETWORKS
- E.E. Devyatkin, FSUE NIIR, EMC Analysis Center, deputy director, Ph.D.(Econ.), deugene@list.ru;
- A.V. Minov, JSC Concern «Sozvezdie», telecommunications development director, Ph.D.(Econ.), aleksander.minov@gmail.com;
- Yu.V. Plyasunov, Ministry of Industry and Trade of the Russian Federation, department of radio electronics, deputy director, plyasunovyv@minprom.gov.ru;
- D.N. Fyodorov, FSUE NIIR, EMC Analysis Center, lead engineer; fedorov@niir.ru.
Keywords: 5G/IMT-2020, digital economy, end-to-end digital technologies, national equipment, radio electronics.
It is shown that the most perspective technology to integrate mobile networks, which form the infrastructural basis of the digital economy is 5G/IMT-2020. The article analyses key documents and strategic objectives of the federal project «Information infrastructure» and opportunities for implementation of end-to-end digital technologies, including wireless communication technologies. The backlogs of world vendors for 5G equipment is introduced. The factors of potential growth of domestic production of 5G-equipment are defined.
DIGITAL ECONOMY NEEDS A RELIABLE INFRASTRUCTURE
- V.A. Netes, Moscow Technical University of Communications and Informatics (MTUCI), professor, Dr.Sci.(Tech.), v.a.netes@mtuci.ru.
Keywords: digital economy, information infrastructure, reliability, future networks, virtualization, cloud computing, SDN, 5G, Internet of Things.
The article considers the post-NGN solutions (future networks, 5G networks, software-defined networks (SDN), cloud computing and the Internet of Things), on the basis of which it is planned to create an information infrastructure for the digital economy. Their characteristic features that affect the reliability of the construction and operation of communication networks are considered.
AUGMENTED REALITY APPLICATIONS IN SMART CITIES
- M.A. Makolkina, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications (SPbSUT), department of communication networks and data transmission, associate professor, Ph.D., makolkina@list.ru;
- A.S. Borodin, representative of PJSC Rostelecom in ITU, Ph.D., aleksey.borodin@rt.ru;
- A.S. Muthanna, SPbSUT, department of communication networks and data transmission, associate professor, Ph.D., ammarexpress@gmail.com;
- A.E. Koucheriavy, SPbSUT, head of the department of communication networks and data transmission, professor, Dr.Sci.(Tech.), akouch@mail.ru.
Keywords: smart city, augmented reality, Internet of Things, medicine networks, monitoring systems, museums, sensors.
The article discusses the concept of developing «smart cities», which implies the creation of innovative megacities using ICT technologies and other means, that promote the economic, social, environmental and cultural development of cities. An analysis of the possibilities of using augmented reality to improve medicine and art in the city has been carried out. A system for monitoring the safety of museum exhibits and the presentation of information about them is proposed.
UNIFICATION OF SENSOR NETWORKS TO CREATE A MULTI-PROTOCOL IoT
- V.V. Borodin, Moscow Aviation Institute (MAI), associate professor, Ph.D., doc_bor1@mail.ru;
- A.M. Petrakov, MAI, associate professor, Ph.D., nio4@mai.ru;
- V.A. Shevtsov, MAI, head of the department 408, professor, Dr.Sci.(Tech.), vs@mai.ru;
- A.D. Talaev, MAI, postgraduate, sa128sha@yandex.ru;
- D.S. Kuzmenko, MAI, undergraduate, arunar.betta@gmail.com.
Keywords: Internet of things, IoT, sensor networks, network integration, network topology.
Different options for combining heterogeneous networks on several layers (applications, gateways, and sensors) are considered. Specific positive features and disadvantages of multiprotocol networks are noted for each version of network combining. The variant of complex network combination (with the integration of networks at different levels) is proposed.
ERROR LEVELS OF THE PASSIVE GONIOMETRIC LOCATION OF RADIATION SOURCES WITH THE INCREASING AMOUNT OF PROCESSED INFORMATION
- V.N. Yudin, MAI, department of theoretical radio engineering, professor, Dr.Sci.(Tech.), vn_yudin@mail.ru;
- A.M. Volkov, MAI, department of theoretical radio engineering, postgraduate; afv92@yandex.ru.
Keywords: goniometric passive radar method, positioning accuracy, the least square method, error ellipse.
Options for improving the accuracy of the goniometric passive location of radiation sources using a single air-craft carrier and location algorithm based on the least square method are considered. The achievable levels of location errors were assessed for different conditions of aerial reconnaissance of radiation sources.
THE FRAMEWORK FOR CHANNEL PREDICTION FOR 4G AND 5G NETWORKS
- A.V. Pestryakov, MTUCI, dean of the faculty of radio andtelevision, head of the department of radio equipment andcircuitry, professor, Dr.Sc.(Tech.), a.v.pestryakov@mail.ru;
- A.S. Konstantinov, MTUCI, postgraduate, blackcron@gmail.com.
Keywords: channel prediction, 5G, CSI estimation, CSI-Ageing, CSI-Outdating, machine learning, Long Short Time Memory (LSTM), Convolutional Neural Networks (CNN).
The paper presents a developed framework based on several neural networks for predicting the state of a radio channel in order to select the best modulation and coding scheme on the base station, taking into account the fading in the radio channel. Comparative analysis of the efficiency of modern architectures in the prediction of time series is carried out. Neural Long Short Time Memory (LSTM) network is defined as a framework core. The learning algorithms of the architectures under consideration are investigated. The choice of the radio channel model is justified. The framework efficiency is evaluated.