Кафедра електроніки, фізики та СМАРТ-систем
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Item type:Наукова стаття, The method of forming ensembles of complex signals based on multi-scale decomposition of time intervals at different levels of detail(Lutsk: LNTU, 2024-09-28) Bershov, Vyacheslav; Yakymchuk, NataliiaThis article addresses the challenges of forming signal ensembles in dynamic cognitive radio environments, focusing on the limitations of traditional methods. The study proposes a new approach based on multiscale time interval decomposition, which allows for the creation of signal ensembles at varying levels of temporal detail. The key innovation of this method is its ability to improve signal reproduction accuracy, reduce inter-symbol and inter channel interference, and enhance the overall efficiency of data processing. The method's adaptability to changing environmental conditions is also a core advantage, enabling better use of bandwidth and reduced transmission delay. Through the decomposition of time intervals into coarse, intermediate, and fine levels, this method allows for the detailed analysis of short-term, medium-term, and long-term signal components. Experimental results demonstrate the superiority of this approach in terms of signal recovery accuracy, noise resilience, and processing speed. These findings highlight the potential for optimizing signal processing in cognitive radio networks, particularly in environments with high levels of noise and interference. Future research aims to integrate machine learning algorithms to further enhance adaptability in real-time scenarios.Item type:Матеріали конференцій, Basic Stations Work Optimization in Cellular Communication Network(Springer International Publishing, 2021) Tkachuk, Anatolii; Zablotskyi, Valentyn; Zabolotnyi, Oleg; Cagáňová, Dagmar; Yakymchuk, NataliiaThe paper proposes an algorithm that automatically determines the test data amount, depending on the bandwidth of the network channel, so the measurement procedure eliminates operator error. This is especially true during daily measurements, which are carried out on different days of the week. Daily measurements allow to estimate the base station single sector workload, a small area or the entire network as a whole. It is necessary to analyse the network operation and to optimize its problem areas. According to the results of the research, the authors of the paper revealed the hours of maximum and minimum load and load extrema, which is characterized by the fact that the number of subscribers using the cellular network for voice calls or data transmission is the maximum. The regularity of cases when the subscriber terminal is registered in the network but it is impossible to make a voice call or transmit data is revealed. If such a case is isolated, there is no need to change the network or perform optimization. However, if the network overload occurs at certain intervals, it is recommended to optimize the problem area of the network by dynamic power control or installation of an additional transmitter. This method of adjusting base station receivers is suitable for use in 4G and 5G networks.