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QoE Aware Resource Allocation for Multi-view Video Flows in LTE

机译:LTE中多视图视频流的QoE感知资源分配

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摘要

Recently, the popularity of multi-view video flow transmission over cellular networks has received a significant surge. However, due to considerably higher bandwidth demands compared to conventional 2D videos, efficient resource allocation techniques specially oriented towards multi-view video must be designed to allow their efficient transmission. From the perspective of maintaining a minimum acceptable Quality of Experience (QoE) for each active user even during overload situations, adaptive 3D multi-view video streaming is being widely viewed as a promising enabling technology. Leveraging this technology, we first pose the problem of scheduling a set of multi-view videos as an optimization problem which attempts to maximize aggregate QoE. In addition, a heuristic solution to the optimization problem has been designed. Simulation results show that the proposed strategy is able to effectively deliver satisfactory the average playback-quality while simultaneously minimizing bit-rate switching in the video output.
机译:近来,通过蜂窝网络的多视点视频流传输的普及已经收到了显着的增长。但是,由于与常规2D视频相比带宽要求高得多,因此必须设计专门针对多视图视频的有效资源分配技术以允许其有效传输。从即使在过载情况下也为每个活动用户保持最低可接受的体验质量(QoE)的角度来看,自适应3D多视图视频流被广泛视为有前途的使能技术。利用这项技术,我们首先提出了安排一组多视图视频的问题,这是一个优化问题,试图最大化集合QoE。此外,已设计出一种针对优化问题的启发式解决方案。仿真结果表明,所提出的策略能够有效地提供令人满意的平均播放质量,同时将视频输出中的比特率切换降至最低。

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