Simulation of Infocommunications Process Development Scenarios in Wireless Centralized Network Cluster
Keywords
Abstract
The article presents mathematical models of the development of the infocommunication process that takes place in a wireless centralized network cluster. Many end mobile devices are involved in the research process, which are the subjects of information interaction with the base station. The later serves the information needs of the subjects in the selected processes in their own information environment. This background allows us to consider the studied process as a Markov queuing system with a flow of new incoming requests with needs for the desired amount of system resources and a flow of service signals, the receipt of which initiates redefinition of allocated for received incoming requests volumes of system resources. A controlled parameter in the created system is the acceptance or rejection of new incoming requests by its front-end interface. In this case, two scenarios are investigated, which differ in that synchronously or asynchronously received to the front-end interface service signals, the receipt of which marks a complete or partial redefinition of system resources involved in supporting active personalized sessions of infocommunication interaction. The proposed mathematical models for the development of such functional scenarios allow to calculate the probability of rejection of a new input request and the percentage of occupied system resources in terms of synchronous or asynchronous change of the spatial location of terminal devices relative to the base station.
The study of the proposed mathematical apparatus showed that the value of indicators from a certain metric in the situation of the second scenario, which characterizes the synchronous movement of IoT end devices relative to the base station, does not depend on the intensity of the input stream of service signals. The study of the influence of the type of distribution law of the stochastic characteristic parameter of a new input request on the values of indicators from a certain metric revealed an objective need to establish regulations on the value of the desired amount of system resources in new input requests.
