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Abstract: Continuous monitoring of the status of the television network is necessary to ensure uninterrupted and high-quality broadcasting of digital air television signals. This report considers the method of measuring the single-frequency network of standard DVB-T2, presents the results of theoretical calculation of the coverage area of several single transmitting stations of digital air television of Leningrad region and shows the results of practical measurements of the total coverage area of DT-TV stations, as well as recommendations on the selection of the location of the control equipment.

Keywords: DVB-T2, digital television, single-frequency networks, SFN.

DOI 10.31854/2307-1303-2019-7-3-7-12

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Abstract: The article describes the development of an algorithm of operation of a monopulse meter of two angular coordinates with two receiving channels with using complex space-time emitted signal. The azimuth of the target estimates by using the received space-time signals. The elevation estimates by using the phase monopulse method. Calculations of the Ambiguity Functions (AF) of space-time signals, their analysis to identify the influence of the angular code on the form of AF and measuring precision of angular coordinates. The calculation of discriminating characteristics of the position angle and azimuth meters is performed.

Keywords: Meter of two angular coordinates, space-time signals.

DOI 10.31854/2307-1303-2019-7-3-13-19

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Abstract: This paper discusses methods for testing data channels under a functional load of traffic generated by devices and applications of the Internet of things. The research of data channels is carried out according to the following quality of service parameters: throughput, network latency, network jitter, packet loss percentage. To measure these parameters, it is proposed to use the following types of testing: stress testing, benchmark testing. A model network including devices and application of the Internet of things was developed to define functional load models. The considered methods can be used to develop systems for testing data channels of the Internet of things.

Keywords: The Internet of things, stress testing, benchmark testing, quality of service, generation methods.

DOI 10.31854/2307-1303-2019-7-3-20-25

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Abstract: In the transition to fifth generation networks, telecom operators are faced with more and more tasks that require solutions using complex data processing algorithms, in particular – forecasting tasks. Machine learning is becoming increasingly popular for application, but due to the variety of its algorithms and the impossibility of their universal use, there is a need to determine the area of application for each of them. For telecom operators one of the priority tasks is to predict various parameters (contact center load, subscriber churn, loyalty index) in an enormous growth of the number of interacting objects, diversity of services, increasing data volumes. The authors of the report find it interesting to find the connection between the tasks of telecoms operator and the methods of machine learning, which can be used to effectively solve these problems.

Keywords: Forecasting, Machine Learning, classical training, OSS/BSS.

DOI 10.31854/2307-1303-2019-7-3-26-30

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Abstract: The area of application for the Internet of Things networks is vast. One of the main uses for such a network is the organization of network traffic. A traffic stream can be considered as a self-organizing network with moving nodes. This article describes the various features of such networks. Models with various mobility, velocity and density parameters of nodes are considered for studying the routes in this networks.

Keywords: Self-organizing communication networks, Internet of Things, routing protocols, high-density networks, transport networks.

DOI 10.31854/2307-1303-2019-7-3-31-36

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Abstract: The paper presents the approach to modeling design of time-based sound effects. The Clavia Nord Modular G2 synthesizer was chosen as a main object of modeling. As a programming media, we use open source and multiplatform language Csound. The paper also gives an example of Flanger effect modelling.

Keywords: Digital signal processing, modeling, computer music languages, Nord Modular.

DOI 10.31854/2307-1303-2019-7-3-37-42

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Abstract: The paper represents a possible functional structure of the Smart Home project based on open source software. Within the framework of this structure, recommendations on the use of open source software were implemented and the functionality and services available for management were determined. The recommendations reflect the application features of server and client parts of the software when working in different operating systems. In the work, fragments of building a possible intra-home network with the organization of various interfaces for connecting with devices of the Smart Home have been worked out. The main goal of the work is to present a budget solution to the Smart Home project with minimal capital costs and phased implementation.

Keywords: Smart Home, function control, readiness control, Smart-devices.

DOI 10.31854/2307-1303-2019-7-3-43-49

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Abstract: The article deals with the СoAP Protocol that regulates the transmission and reception of information traffic by terminal devices in IoT networks. The article describes a model for detecting abnormal traffic in 5G/IoT networks using machine learning algorithms, as well as the main methods for solving this problem. The relevance of the article is due to the wide spread of the Internet of things and the upcoming update of mobile networks to the 5g generation.

Keywords: 5G networks, CoAP protocol, Internet of things, IDS/IPS, machine learning.

DOI 10.31854/2307-1303-2019-7-3-50-55