Optimization Info Rate Using APSK Modulation Scheme for Delivery GSM ABIS over Satellite Communications

Applications of artificial neural networks for calculation of the Erlang B formula and its inverses

“…2 The Erlang's formulas, aimed at the beginning to be used for performance calculation in public telephone networks, over the years have been applied in systems where the resources are limited, such as in mobile communication systems, VoIP (Voice over Internet Protocol) systems, computer networks, call centers, and electric vehicle power systems. [3][4][5][6][7][8][9][10][11][12] During planning and design of trunking and queuing systems and evaluating their performance, in addition to determining the probability of blocking and the probability of call waiting, which are the basis for estimating the quality of the service, it is also necessary to solve the inverse problem, that is, to determine the traffic intensity or the number of required channels (resources) for a given probability that corresponds to the desired GOS (Grade of Service) value. Given the nature of Erlang formulas, there is no inverse function of these formulas in a closed form.…”

“…The Erlang B formula determines the probability of blocking for a given offered traffic in the system with the given number of channels, while the Erlang C formula determines the probability that a call request will be on hold for the considered value of the offered traffic 2 . The Erlang's formulas, aimed at the beginning to be used for performance calculation in public telephone networks, over the years have been applied in systems where the resources are limited, such as in mobile communication systems, VoIP (Voice over Internet Protocol) systems, computer networks, call centers, and electric vehicle power systems 3–12 …”