Перегляд за автором "Ivanenko, S."

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  • Зображення мініатюри
    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.
  • Зображення мініатюри
    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.
  • Зображення мініатюри
    Публікація
    Methods of Signal Detection and Recognition in Cognitive Radio Networks
    (Springer, Cham, 2021) Bezruk, V. M.; Ivanenko, S.; Fedorov, O.
    The paper employs techniques of signal detection and recognition to perform spectrum sensing in cognitive radio networks. The main focus is on extensive use of signal recognition techniques, which is not the case yet in the context of cognitive radio networks. In particular, the use of unconventional methods of signal recognition allows us to not only divide received signals into classes of those which belong to primary or secondary users but, additionally, register appearance of new, uncategorized, sources of radiation. As a consequence, all considered in the paper procedures may be employed by the local frequency control authorities to monitor radio frequency resource utilization. Performance analysis of presented in the paper algorithms for signal selection and recognition is performed by the method of Monte-Carlo.