Identification of scopes for applicability of grammatical inferences for mobile network traffic prediction

The continuous growth in mobility applications thus the growth in data transactions demand the an appropriate modelling of data for better network management. The data related to mobile data may contain information of usage of mobility infrastructure and information exchange during the mobile operations. The most relevant approach to identify and predict the network traffic is analysis of the data. In this research we try to understand the scope of context free grammar inference to predict the network traffic data pattern. The work will result in validating an automatic algorithm based on context free grammar to understand the mobility node movements in the network cells. The use of probabilistic methodologies such as Bayes' method will help the algorithm to reach the best possible result.