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A novel QoE based cross‑layer scheduling scheme for video applications in 802.11 wireless LANs

机译:802.11无线局域网中的视频应用基于新型QoE的跨层调度方案

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摘要

In the past two decades, 802.11 based Wireless Local Area Networks (WLANs) have gained popularity in offering Internetservices and increasingly supporting data driven video streaming applications. Such services demand enhancedview quality to all the end-users in the network. However, due to the sharing of limited resources and lack of properscheduling mechanisms, WLANs are unable to meet the requirements of numerous video users and provide them betterquality. Therefore, an effective resource scheduling approach is needed that can achieve high user satisfaction for theever changing user needs for quality video viewing. In this paper, a Quality of Experience based Cross-Layer Scheduling(QoECLS) scheme to enhance the user experience for video applications in WLANs is proposed. Here, the Mean OpinionScore has been used as a measure to evaluate the user experience. In order to provide the average user throughput withguarantee of fairness among users, the QoECLS scheme uses cross-layer information from the application and physicallayer, respectively. The QoECLS algorithm allocates transmission resources by considering application feedback along withchannel state information and buffer status. The performance of the QoECLS approach was extensively studied throughsimulations and the results showed an improvement in user experience and throughput, while maintaining fairnessamong the users. In terms of throughput, the proposed scheme achieves 25%, 45 %, and 50% improvement comparedto QoE Aware Scheduling scheme, Modified-Largest Weighted Delay First scheduler and Exponential-Proportional Fairscheduler, respectively.
机译:在过去的二十年中,基于802.11的无线局域网(WLAN)在提供互联网时越来越受欢迎服务越来越多地支持数据驱动视频流应用。这些服务需求增强查看网络中所有最终用户的质量。但是,由于共享资源有限,缺乏适当调度机制,WLAN无法满足众多视频用户的要求,并提供更好的视频质量。因此,需要有效的资源调度方法,可以实现高用户满意度曾更改用户对质量视频观看的需求。本文基于跨层调度的体验质量(Qoecls)提出了增强WLAN中视频应用的用户体验的方案。在这里,平均意见分数已被用作评估用户体验的措施。为了提供平均用户吞吐量保证用户的公平性,Qoecls方案使用来自应用程序和物理的跨层信息层分别。 Qoecls算法通过考虑应用程序反馈以及与之相关的分配传输资源频道状态信息和缓冲状态。广泛研究了Qoecls方法的性能模拟和结果表明用户体验和吞吐量的提高,同时保持公平性在用户中。在吞吐量方面,拟议方案比较了25%,45%和50%的改进探讨QoE意识的调度方案,修改最大的加权延迟第一个调度程序和指数比例公平分别调度程序。

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