# Stochastic Model for a 4 QAM Transmission Subject to the Epidemic Interference Effect

## TL;DR

This paper introduces a model to understand how sudden user surges affect 4 QAM communication systems.

## Contribution

A novel stochastic differential approach to model epidemic interference in 4 QAM systems.

## Key findings

- Rapid user increase causes non-stationary traffic in the network.
- The model captures interference effects using stochastic differential equations.

## Abstract

This article presents a stochastic model for the effect of interference caused by a sudden increase in the number of users that access a 4 QAM digital communication system. As demonstrated, the rapid increase in the number of users that access the system causes a non-stationary traffic in the network. A stochastic differential approach is used to model the epidemic interference effect.