QoE Model Based Optimization for Streaming Media Service Considering Equipment and Environment Factors

Abstract

With the development of smart phones, one of the hot research topics for wireless personal communication technologies has begun to transit from reaching higher communication capabilities to better Quality of Experiences (QoE). However, for streaming services, such as online music or online video, which is one of the mainstream services in the future wireless network, there is still no breakthrough optimization beyond the Quality of Service (QoS) hence the optimization results are not satisfactory. Based on our study, this problem could be relieved by altering the criterion of wireless resource allocation from enhancing users' QoS to enhancing their QoE, which specifically means that the scope of the research is extended from the so-called last mile between the network and the user equipment to the last few inches between the user equipment and the user himself. Unfortunately, it seems that all current QoE researches are still not jointly considering the users' environment and user equipments' performance, both of which are paramount factors of the last inches that will influence users' QoE directly and profoundly. Hence, in this paper, we propose a QoE model involving the environment and equipment factors, and then we use this model to guide the wireless resource allocation. Simulation results show that this resource allocation method will increase the effectiveness of network resource utilization as well as improve the average of satisfaction of users.