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Resource Allocation for Uncoded Multi-user Video Transmission over Wireless Networks

机译:无线网络上未经编码的多用户视频传输的资源分配

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摘要

In wireless networks, multi-user video streaming under limited resource is a challenging problem. The main challenge is how to meet the transmission requirements under the different channel condition and video content complexity. In this paper, we propose an uncoded video transmission framework to deliver the multi-user video over wireless networks. In order to evaluate the overall performance of multi-user network more practically, three optimization strategies are proposed in this paper: 1) minimizing the total distortion; 2) minimizing the maximal distortion; 3) minimizing the summation of square root distortion. Furthermore, the corresponding joint resource allocation algorithms are developed to solve the optimization problems. The simulation results demonstrate that different optimization strategies have different resource allocation and performance for each user. The optimization strategy 1) performs the best in terms of average PSNR of all users, the optimization strategy 2) achieves more fair result, and the optimization strategy 3) achieves a good balance. The strategy 3) can improve the performance for users with bad channel condition, while little loss is caused for users with good channel condition.
机译:在无线网络中,有限资源下的多用户视频流传输是一个具有挑战性的问题。主要的挑战是如何在不同的信道条件和视频内容复杂度下满足传输要求。在本文中,我们提出了一种未编码的视频传输框架,以通过无线网络交付多用户视频。为了更实际地评估多用户网络的整体性能,本文提出了三种优化策略:1)最小化总失真; 2)最小化最大失真; 3)最小化平方根失真的总和。此外,开发了相应的联合资源分配算法来解决优化问题。仿真结果表明,不同的优化策略对每个用户具有不同的资源分配和性能。在所有用户的平均PSNR方面,优化策略1)表现最佳,优化策略2)获得更公平的结果,优化策略3)获得良好的平衡。策略3)可以改善信道状况不好的用户的性能,而对信道状况好的用户造成的损失很小。

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