An efficient resource allocation scheme for mobile multimedia networks

In mobile multimedia networks the traffic fluctuation is unpredictable and also due to limited resource availability, the resource allocation to multimedia applications of varying quality of service (QoS) requirement becomes a complex issue. This paper proposes an efficient resource allocation scheme based on resource reduction of running applications without hampering their QoS guarantee, in a single mobile cellular environment. We propose a linear programming (LP) based resource reduction for efficient resource allocation (RA). An artificial neural network model is used to solve the linear programming problem, which facilitates in real time control decision in the practical systems. The model is computationally less expensive and faster for resource allocation. The suggested scheme along with the LP-based resource reduction has shown that it is appropriate for the reduction of assigned resources for running applications during over load conditions and allocation of resources to requesting applications. The simulation results for the proposed scheme yielded an improved resource utilization and lower percentage of rejection to hand-off and new applications due to efficient resource allocation.