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首页> 外文期刊>Journal of visual communication & image representation >Optimal resource allocation for Medium Grain Scalable video transmission over MIMO channels
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Optimal resource allocation for Medium Grain Scalable video transmission over MIMO channels

机译：MIMO信道上中等粒度可伸缩视频传输的最佳资源分配

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摘要

In this paper we investigate an optimal solution for adaptive H.264/SVC video transmission over Multiple-Input Multiple-Output (MIMO) channels. We first write the end-to-end distortion of the H.264/SVC video transmission over a diagonal MIMO channel. The total distortion is expressed following three physical layer parameters: power allocation, modulation spectral efficiency and Error Code Correction (ECC) code rate. Minimizing the total distortion is considered as an optimization problem containing both discrete and continuous variables. We use the Lagrangian method associated with Karush-Kuhn and Tucker conditions to find out the optimal continuous physical layer parameters. Concerting the discrete modulation spectral efficiency and ECC code rate, we exploit information of the MIMO system to remove all suboptimal configurations. Therefore, the optimal power allocation is computed only for a reduced number of discrete configurations. The performance of the proposed solution is evaluated over both statistical and realistic MIMO channels. Results show that the proposed solution performs an optimal resource allocation to achieve the best QoS regardless the channel conditions.
机译：在本文中，我们研究了通过多输入多输出（MIMO）信道进行自适应H.264 / SVC视频传输的最佳解决方案。我们首先编写对角MIMO通道上H.264 / SVC视频传输的端到端失真。总失真由以下三个物理层参数表示：功率分配，调制频谱效率和错误码校正（ECC）码率。最小化总失真被认为是同时包含离散变量和连续变量的优化问题。我们使用与Karush-Kuhn和Tucker条件相关的拉格朗日方法来找出最佳的连续物理层参数。协调离散调制频谱效率和ECC码率，我们利用MIMO系统的信息来删除所有次优配置。因此，仅针对减少数量的离散配置计算最佳功率分配。在统计和现实MIMO信道上都评估了所提出解决方案的性能。结果表明，所提出的解决方案执行最佳的资源分配以实现最佳的QoS，而与信道条件无关。

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