Кафедра інформаційно-мережної інженерії (ІМІ)
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Перегляд Кафедра інформаційно-мережної інженерії (ІМІ) за автором "Bezruk, V."
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Публікація Evaluation of the Efficiency of Recognition Radio Emitting Objects in Conjunction Signs Radar and Communication by Method of Statistical Tests(IEEE, 2020) Bezruk, V.; Khriapkin, O.; Kaliuzhnyi, M.; Qiang, G.; Nikolaev, I.In the report questions of assessment of efficiency of recognition of radio-emitting objects with use of set of signal signs both the systems of radiolocation, and communication systems and controls are considered. Results of experimental studies on the basis of these objects taking into account parameters of onboard radars and communication systems are provided.Публікація Methods of detecting of unknown signals in cognitive radio networks(IEEE, 2017) Ivanenko, S.; Bezruk, V.This work considers methods to detect unknown signals in cognitive radio networks. These methods can be applied when taking decision about presence of a signal in the frequency channel when monitoring radio spectrum. The problem of uncertainty can appear when monitoring spectrum. A way of overcoming a priori uncertainty that arises when monitoring the radio spectrum is proposed.Публікація Methods of Signal Detection and Recognition to Perform Frequency Resource Sharing in Cognitive Radio Networks(Springer, 2022) Bezruk, V.; Němec, Z.; Fedorov, O.; Pidanič, J.; Ivanenko, S.The paper addresses the problem of spectrum sensing in cognitive radio networks and aims at improving efficiency of signal detection procedures by employing unconventional methods of signal detection and recognition. Such the methods allow us to reference unknown signals to a special class of signals for which no prior information is provided. Conventional methods for signal sensing are as follows: (i) constructing adaptive decision rules based on fitting observed signals with typical stochastic models (like Gaussian and Rician). The main drawback of these methods is the lack of robustness to possible violations of initial model assumptions; (ii) testing signals for cyclostationarity. Despite their effectiveness such the methods rely on prior knowledge about spectral width of signal to detect and are computationally expensive; (iii) energy level detection, based on comparing signal’s energy with a threshold, is easy to implement however it grants poor accuracy for low SNRs. As of the moment the lack of efficient facilities of blind signal detection and radio emission type recognition slows down further progress in development and use of cognitive radio techniques. Thus the problem is urgent. The paper focuses on researching into the algorithms based on methods to detect changes in probabilistic properties of signals. Research is performed with respect to samples of real signals, typical for both VHF/UHF and the IEEE 802.22 frequency bands.Публікація Multicriterial Analysis and Selection of Mobile Communication Technologies of the Fourth and Fifth Generation(IEEE, 2019) Bezruk, V.; Koltun, Yu.; Vlasova, V.; Skoryk, Y.A comparative analysis of fourth and fifth generation mobile communication networks has been carried out. The theoretical and practical features of the choice of the preferred mobile communication technology are considered taking into account a set of quality indicators based on the hierarchy analysis method.Публікація Multicriterial optimization of communication means(IEEE, 2022) Bezruk, V.; Chebotaryova, D.; Skoryk, Y.Mathematical models of selection of optimal design variants of systems taking into account a set of quality indicators on the basis of multicriteria approach are given. Application of methods of finding Pareto-optimal design solutions and narrowing of the Pareto subset to the only preferred option in solving problems of nominal planning of mobile communication systems of different generations, planning of mobile transport network and choice optimal speech codecs for IP telephony networks are considered. Also use the theory of Analytic Hierarchy Process for solving problems to choose an optimal variant.Публікація Selection of the Best Biometric Systems Taking into Account the Characteristics(IEEE, 2021) Bezruk, V.; Skoryk, Y.; Koltun, Yu.; Kharchenko, N.; Kobtseva, V.An analysis of very well-known biometric systems is made. The choice of the best biometric system according to the set of characteristics known by some methods of multicriteria optimization and the method of analysis of hierarchies is carried out. The findings show that the best type of biometric system is a technology based on the analysis of the iris.