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Due to the dense deployed base stations and the growing traffic of best effort (BE) services, frequent bursty interference becomes one of major challenges to assure quality of experience (QoE) for real-time video services. Considering those situations, a novel dynamic interference shaping method has been proposed in this paper, to assure the QoE for real-time video services. Firstly, to evaluate the quality impairment induced by bursty interference, we proposed a new QoE prediction model with content-adaptive and hysteresis effect. Secondly, the cellular interference traffic model is proposed in the framework of interference shaping. By this traffic model, the interference characteristic of best effort services is analyzed and the rate scaling factor (RSF) is introduced to adjust the transmission power of BE service, thus to neutralize the interference of real-time video service. Finally, the utility function with QoE for real-time video services and BE services is presented, and we utilize particle swarm optimization method to obtain the optimal RSF. Simulation results show that proposed method greatly improves QoE for real-time video services. [ABSTRACT FROM AUTHOR]

The frequent bursty interference leads to wireless throughput variability in future networks, which results in video quality of experience (QoE) degradation. It is highly desirable to be able to predict video quality to meet QoE requirements. There has been a great deal of studies on video quality assessment, but only limited work has been reported for assessing video quality under bursty interference environment. In this paper, we seek to ameliorate this by developing a bursty interference-oriented video quality assessment algorithm. First, a subjective experiment has been carried out and a hysteresis model was proposed by analyzing the experiment data. Simulation result shows that in burst traffic environment, the model has a better correlation with human visual system (HVS) effect. Then we proposed an objective quality assessment algorithm by taking the video color, brightness, motion and other spatial features together with Structural Similarity Index Measurement (SSIM) into consideration, which outperforms Peak Signal Noise Rate (PSNR), Visual Information Fidelity (VIF) and SSIM in bursty environment. [ABSTRACT FROM AUTHOR]

Quality of experience (QoE) and power consumption are two important considerations of OFDMA multicell networks. In this letter, we propose a fair QoE-based radio resource allocation (FQRA) for OFDMA multicell networks. Different from the previous work, the multiuser QoE per power consumption is introduced as the performance metric. A novel utility function, which can characterize the fairness of users’ QoE and power consumption jointly, is proposed. Then a multiuser FQRA problem is formulated. Due to the nonconvex form of optimization, a two-step solution is devised in which the subchannel allocation and power allocation are performed iteratively. Simulation results show that our method can significantly improve the QoE per power consumption of cells and outperform the state-of-art schemes. [ABSTRACT FROM PUBLISHER]

Wireless local area network (WLAN) is becoming increasingly important due to the explosive growth of mobile data traffic. The user in some hot spot areas is usually covered with multiple access points (APs). However, the subsequent challenge is the users' devices need to handover between these APs as the user moves, and it introduces large latency during the handoff process. For multimedia application, quality of experience (QoE) is an essential measurement for network evaluation. But the large handover latency which gives rise to an interruption will greatly degrade the users' QoE to an intolerable extent. Therefore a neighbor list based proactive handoff scheme which has sufficient low handover latency will reduce service disruptions. The proposed scheme exploits the active scan based on information of neighboring APs, received signal strength indicator (RSSI), and variable bitrate video coding (VBR) to reduce handover delay and service interruption. Based on the analysis and simulation, it can be seen that the proposed scheme can decrease the handover time efficiently and increase QoE. [ABSTRACT FROM PUBLISHER]