Quality of Experience-Driven Resource Allocation Optimized for 360-degree Video transmission over LTE Uplink

Junchao Yang, Jiangtao Luo, Fuxing Yang

Abstract


As VR (Virtaul Reality) video become popular on User-Generated Content (UGC) platform, ever-increasing VR video need to be transmitted through the cellular network , However the VR video transmission imposes significant challenges since the radio resource limitation, especially for the uplink. Furthermore, transmission the overall VR video at same quality causes bandwidth waste since the VR video is partially viewed at the client side. This work proposed a practical way of VR video transmission through LTE based on the target of optimizing the whole Quality of Experience (QoE) of viewers. Since the viewports are distributed among the viewers and the accurate viewer viewport can hardly be predicted, in this paper the effect of video saliency and encoding distortion on the QoE is studied, we formulate the QoE as the summation of logarithmic function of encoding video tile rate, where the encoding video tile rate is constrained by the uplink rate of LTE, so the problem turns into allocate the resource for the each specific tile of each VR video under the limited bandwidth and which is formulated as a convex optimization problem. The proposed scheme strategically consider both saliency and encoding distortion caused by Equi- Rectangular Projection (ERP) of the encoding tile, and the final problem is solved by the optimization toolbox as relaxing part of the constraints. The simulation results show that our proposed scheme boost the QoE by at least 17% compared with the traditional schemes.


DOI
10.12783/dtcse/wicom2018/26263

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