Epidemic Interference in the Error Probability of a 5g Cellular System

Abstract

This article introduces concepts of 5G networks and presents a mathematical model of network interference caused by a sudden increase in the number of users. Fluctuations of the number of users cause a non stationary network traffic and the usual tools have little use. So, the proposed model is obtained through the stochastic integration of the differential equation that describes the treated non stationary phenomena. Monte Carlo simulations were made, then, to be compared with the analytical results, showing that the simulations corresponded to the expected. The stochastic integral revealed to be efficient to attack the problem. Therefore, with the proper modelling, it is possible to research techniques for mitigating the epidemic interference.