Description

An enormous growth in the mobile data traffic increase the traffic demand in the network. This increase in traffic demand is overloading the cellular networks (especially in metro areas) forcing them to operate close to (and often beyond) their capacity limits causing a significant gradation of user experience. Hence the proposed work uses queuing analytic model which use WIFI based data offloading. Though  the  cellular  and  Wi-Fi radio  technologies  originated  and  evolved  from  two fundamentally different objectives, each has trended towards the other, with  wireless data a central use of cellular technology today while over-the-top services provide voice over data networks. On-the-spot offloading is processed as WiFi availability, average WiFi and cellular performance, and existence of advanced cellular technologies. It consider a simple scenario where the user can choose between WiFi and a single cellular technology, and derive general formulas, as well as simpler approximations, for the expected delay and offloading efficiency. The performance improvements achievable by WiFi-based data offloading, as a function of WiFi availability and performance, user mobility and traffic load, and the coverage ratio and respective rates of different cellular technologies available. Simulation results show gain in the efficiency, coverage ratio and delay performance.