Balancing QoE and fairness of heterogeneous traffics based on Equivalent Rate Scaling

With great increase of mobile service in recent years, high quality of experience (QoE) is becoming a comprehensive and major goal for service provider. To unify evaluations of different services, mean opinion score (MOS) as a subjective assessment is usually adopted for accurate and convincing reflection of user perceived quality. In this paper, we consider the effect of the burst transmission of best effort (BE) traffic on the uses with real time video traffic in the same cell. We extend the rate scaling process which was initially used to shape burstiness of BE users as interference to handle the scenario that BE users act as resource competitors with video users. A power reallocation strategy between the two types of users is presented and an algorithm further improving the fairness of BE users is proposed. The simulation results demonstrate that the proposed algorithm can not only promote the QoE of both types of users, but also guarantee the fairness among users.