Dynamic interference shaping method for video applications in dense deployment wireless networks

Video applications are extremely important due to the overwhelming number of applications in the future wireless networks. The frequent bursty interference caused by the dense base stations poses a major challenge to improve quality of experience (QoE) for video application. In this paper, we propose a novel interference management schemes termed dynamic interference shaping method(DISM), in which the peak rate of best effort service is decreased by introduce the rate scaling factor(RSF) to improve the QoE for video applications. First, the cellular interference traffic is analyzed and modeled. The interference characteristics of multi-services are investigated and the QoE perception models are presented. Also we develop the utility function and utilize the particle swarm optimization (PSO) algorithm to obtain the optimal RSF. Experiment has demonstrated the proposed algorithm significantly improves the QoE for video users with the negligible decrease in QoE for best effort users.