Forecasting Model for Voice and Internet Data Traffic During Peak Time Using Hidden Markov Model

摘要

Modelling processes is one of the core objectives of the scientific world. Since mobile communication has become one of the most booming technologies of this era, mobile operators around the world call for proper modelling and forecasting of the traffic for smarter investment of their resources. In this paper, a powerful stochastic modelling technique, the Hidden Markov Modelling (HMM) has been used to develop a forecasting model for voice traffic over 2G and 3G, and internet data traffic over 3G and 4G during peak time via supervised learning. The designed model has been developed to forecast mobile communication traffic in Mauritius, a country with limited prediction models in this specific field.