Abstract
Modern wireless networks are characterized by high user mobility. This factor can lead to changes in the quality of the channel during the lifetime of the interaction session. To take into account the fact of user movement in a resource queuing system with signals are introduced. Signal arrivals trigger resource reallocation of customers in the system. In this paper, we introduce an approximate model that replaces the flow of resource reallocations with the additional flow of customers. The convergence of the approximate iterative evaluation method is proved. Besides, we provide a case study for the accuracy assessment of the approximate method.
The reported study has been funded by RFBR, projects no. 19-07-00933 and 20-07-01052.
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Ageev, K., Sopin, E., Shorgin, S., Chursin, A. (2021). The Probabilistic Measures Approximation of a Resource Queuing System with Signals. In: Vishnevskiy, V.M., Samouylov, K.E., Kozyrev, D.V. (eds) Distributed Computer and Communication Networks: Control, Computation, Communications. DCCN 2021. Lecture Notes in Computer Science(), vol 13144. Springer, Cham. https://doi.org/10.1007/978-3-030-92507-9_8
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DOI: https://doi.org/10.1007/978-3-030-92507-9_8
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