Titlebook: Distributed Computer and Communication Networks: Control, Computation, Communications; 25th International C Vladimir M. Vishnevskiy,Konstan

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https://doi.org/10.1007/978-94-009-2335-5rding sums and maxima of non-stationary random length sequences to predict the tail index of the PageRanks and Max-linear models as influence measures of superstar nodes. To this end, the graphs are divided into mutually weakly dependent communities. Maxima and sums of the PageRanks over communities

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German Expressionism and the Human Passions are multilayer structures that are formed when the signal spectrum is expanded by direct sequences. The method of direct spread spectrum is the most effective among the known methods, it allows not only to increase the signal base, but also to organize multiple access with code separation of channe

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https://doi.org/10.1007/978-3-030-68176-0ed on predicting the value of the signal-to-interference-to-noise ratio (SINR) on the mobile user equipment (UE) at the next time slot from a sequence of known values of this ratio in the past. Prediction is performed using machine learning. For this, a neural network was built and applied to solve

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Stakeholder Analysis of Data Ecosystemschitecture of the physical and data link layers of a 5G transport network is disclosed. The analysis of the requirements of the scenarios eMBB, URLLC, mMTC to the physical and data link layers of a transport network, their approximate numerical evaluation were carried out. The requirements that have

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Patrick J. Laub,Young Lee,Thomas Taimreovian arrival process (.) is used to depict the arrival of traffic due to the burstiness and self-similar properties of the incoming traffic. Guard channel policy has been employed for the prioritization of the higher priority traffic. If the incoming traffic is blocked due to the lack of idle chann