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Enhancing Voice over WLAN via Rate Adaptation and Retry Scheduling

机译:通过速率自适应和重试计划增强WLAN上的语音

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摘要

Today, voice over IP (VoIP) service is emerging as a popular and important application in wireless local area networks (WLANs). While rate adaptation (or link adaptation) has been identified as a key factor determining the performance of WLANs, we have observed that most (if not all) rate adaptation algorithms have been developed to improve the throughput of data traffic, not the quality of service (QoS) of VoIP traffic. Accordingly, in this paper, we investigate the characteristics of VoIP traffic and the limitations of state-of-the-art rate adaptation algorithms, and then enhance the QoS of voice over WLAN (VoWLAN) by ameliorating the existing rate adaptation algorithms. Specifically, we design fast decrease to control the transmission rate of retransmissions, and retry scheduling to avoid the deep fading of the wireless channel as well as hidden terminal interference. We comparatively evaluate the QoS of the revised rate adaptation algorithms via ns-3 simulations and MadWiFi implementations in various communication environments, and demonstrate that the proposed schemes improve the R-score performance by up to 80 percent depending on the network scenarios.
机译:如今,IP语音(VoIP)服务正在成为无线局域网(WLAN)中一种流行且重要的应用程序。虽然速率自适应(或链路自适应)已被确定为决定WLAN性能的关键因素,但我们已经观察到,大多数(如果不是全部)速率自适应算法已被开发来提高数据流量的吞吐量,而不是服务质量。 VoIP流量(QoS)。因此,在本文中,我们研究了VoIP流量的特性和最新速率适配算法的局限性,然后通过改进现有的速率适配算法来增强WLAN语音(VoWLAN)的QoS。具体来说,我们设计了快速降低以控制重传的传输速率,并重试调度以避免无线信道的深度衰落以及隐藏的终端干扰。我们通过ns-3仿真和MadWiFi在各种通信环境中的实施情况,对经过修改的速率自适应算法的QoS进行了比较评估,并证明了所提出的方案可以根据网络情况将R得分性能提高多达80%。

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