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Joint rate adaptation and resource allocation for real-time H.265/HEVC video transmission over uplink OFDMA systems

机译:用于上行的实时H.265 / HEVC视频传输的关节率适应与资源分配

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摘要

We consider multiuser video communication over uplink orthogonal frequency-division multiple access (OFDMA) systems. A cross-layer algorithm of joint bit allocation, packet scheduling and wireless resource assignment are proposed to minimize the end-to-end expected video distortion. Video rate adaptation is performed under the wireless resource constraints. The target number of encoding bits for each video packet is obtained to minimize the estimated distortion based on the online content-based rate-distortion function. Due to the inaccuracy of the rate control algorithm in H.265/HEVC encoding, the actual number of bits may differ from the target. Accordingly, the actual encoder distortion may deviate from the estimated distortion. Then, we propose an iterative algorithm to re-assign wireless resources based on the actual number of encoded bits to obtain the final resource allocation policy and packet scheduling decision. Numerical simulation results show that our proposed approach significantly outperforms the baseline algorithms in terms of received video quality.
机译:我们考虑在上行链路正交频率分割多址(OFDMA)系统上的多用户视频通信。提出了一种联合位分配,分组调度和无线资源分配的横向算法,以最小化端到端的预期视频失真。在无线资源约束下执行视频速率自适应。获得每个视频分组的编码位的目标数量,以最小化基于基于在线内容的速率失真函数的估计失真。由于H.265 / HEVC编码中的速率控制算法的不准确性,实际比特数可能与目标不同。因此,实际编码器失真可以偏离估计的失真。然后,我们提出了一种迭代算法基于基于编码位的实际数量来重新分配无线资源,以获得最终资源分配策略和分组调度决策。数值模拟结果表明,我们所提出的方法在接受视频质量方面显着优于基线算法。

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