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A MAXMIN resource allocation approach for scalable video delivery over multiuser MIMO-OFDM systems

机译:用于在多用户MIMO-OFDM系统上进行可伸缩视频传递的MAXMIN资源分配方法

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In this paper, we propose a novel approach for scalable video delivery over multiuser Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing (MIMO-OFDM) systems with MAXMIN fairness ensured. Scalable Video Coding (SVC) is efficient for rate adaptation and unequal protection in wireless networks where heterogeneous mobile clients have different hardware specifications and time-varying channel conditions. Using the scalability characteristics of SVC, we propose a general approach to ensure fairness for multiple scalable video downlink from a multiple-antenna base station. The fairness is achieved by packet priority analysis referring to layer dependency from application layer and a MAXMIN resource allocation at the physical layer. Based on packet priorities, time-frequency resource, power and modulation schemes are adaptively selected for transmission. This scheme significantly improves the overall system performance and guarantee fairness among users, as demonstrated by experimental comparisons with conventional radio resource allocation schemes.
机译:在本文中,我们提出了一种在保证MAXMIN公平性的情况下在多用户多输入多输出正交频分复用(MIMO-OFDM)系统上进行可伸缩视频交付的新颖方法。在异构移动客户端具有不同硬件规格和时变信道条件的无线网络中,可伸缩视频编码(SVC)可高效地进行速率自适应和不平等保护。利用SVC的可伸缩性特征,我们提出了一种通用方法来确保来自多天线基站的多个可伸缩视频下行链路的公平性。通过参考来自应用程序层的层依赖性和物理层的MAXMIN资源分配,通过数据包优先级分析来实现公平性。基于分组优先级,自适应地选择时频资源,功率和调制方案以进行传输。通过与常规无线电资源分配方案的实验比较证明,该方案显着提高了整体系统性能并保证了用户之间的公平性。

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