Balancing QoE and Fairness of Heterogeneous Traffics Based on Equivalent Rate Scaling  

作　　者：GAO Qiang FEI Zesong LI Na XING Chengwen KUANG Jingming 

机构地区：[1]Beijing Institute of Technology

出　　处：《China Communications》2015年第1期136-144,共9页中国通信（英文版）

基　　金：supported by China National S&T Major Project 2013ZX03003002003;Beijing Natural Science Foundation No.4152047;the 863 project No.2014AA01A701;111 Project of China under Grant B14010

摘　　要：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.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.

关 键 词：QOE best effort rate scaling resource allocation fairness. 

分 类 号：TN929.5[电子电信—通信与信息系统]