The Probabilistic Measures Approximation of a Resource Queuing System with Signals

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. © 2021, Springer Nature Switzerland AG.