ContextShift: A Model for Efficient Delivery of Content in Mobile Networks

A context aware model for delivery of content in mobile networks is introduced and studied through simulation. The model is based on predictive knowledge of mobile user and mobile group behavior. The predictive behavior is related to consumption of mobile content on smart mobile terminals. The model proposes to change the time and the location of the delivery of predicted content consumption to optimize the wireless network utilization and to improve the user experience. Different content delivery strategies, considering pre-fetching at the user terminals, caching at the base stations and multi-cast wireless transmissions are proposed and investigated. The simulation results show substantial gains in the content delivery efficiency of cellular networks and improved user perceived quality for a number of realistic network operation regimes.