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Visual Hysteresis Based Dynamic Interference Shaping for Real-Time Video Services in Dense Deployed Cellular Networks

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Abstract

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.

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Acknowledgements

This work is supported by The National Natural Science Foundation of China (61271179), Beijing Municipal Commission of Education research fund project (201501001), and Beijing Advanced Innovation Center for Future Internet Technology.

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Correspondence to Zhaoming Lu.

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Lu, Z., Zhou, S., Wen, X. et al. Visual Hysteresis Based Dynamic Interference Shaping for Real-Time Video Services in Dense Deployed Cellular Networks. Wireless Pers Commun 96, 5221–5238 (2017). https://doi.org/10.1007/s11277-016-3737-3

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