你的活动Wi-Fi怎么样了?大规模和密集IEEE 802.11n/ac网络的性能测量

Patrick Bosch, Jeroen Wyffels, B. Braem, Steven Latré
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引用次数: 4

摘要

IEEE 802.11 (Wi-Fi)标准的普及导致了大量的热点部署。虽然家庭热点提供高且稳定的性能,但在会议和节日等大型活动中,Wi-Fi性能通常很差且波动很大。有几个因素可以解释这种增加的难度:所需的规模、回程网络拓扑的复杂性、连接到接入点(AP)的设备的密度,以及由人和射频(RF)设备引起的干扰。虽然已知这些因素都会降低公共热点的性能,但对于IEEE 802.11在大型活动中的实际性能知之甚少。在本文中,我们介绍了在一个地理面积为0.3平方公里的音乐节上进行的定量Wi-Fi性能测量研究的结果,该音乐节有80,000名游客。本研究构建了两个独立的网络。第一个是基于IEEE 802.11n的无线网络,由15个节点中的37个设备组成,作为网络回程;第二个是基于IEEE 802.11n/ac的公共热点,供节日观众访问。我们描述了无线频谱的性能,并说明了干扰因素(如人群和射频设备)的影响。最后,我们报告了在节日上部署公共热点的结果,更多地关注应用层指标参数,如用户体验和会话统计。结果表明,在这些事件中的干扰是如此之高,以至于需要调整协议配置来提高性能。
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How is your event Wi-Fi doing? Performance measurements of large-scale and dense IEEE 802.11n/ac networks
The popularity of the IEEE 802.11 (Wi-Fi) standard has resulted in a plethora of hotspot deployments. While home hotspots offer high and consistent performance, at large-scale events such as conferences and festivals, Wi-Fi performance is often poor and highly fluctuating. There are several factors explaining this increased difficulty: the required scale, the complexity of backhaul network topologies, the density of devices connected to the access point (AP), and the interference caused by both people and radio frequency (RF) equipment. While these factors are all known to degrade the performance of public hotspots, little is known about the actual performance of IEEE 802.11 at large-scale events. In this paper, we present the results of quantitative Wi-Fi performance measurement study undertaken at a music festival with 80,000 visitors over a geographical area of 0.3 square kilometres. Two separate networks were constructed for this study. The first was an IEEE 802.11n-based wireless mesh consisting of 37 devices in 15 nodes working as a network backhaul and the second an IEEE 802.11n/ac-based public hotspot that was accessible by the festival goers. We characterise the performance of the wireless spectrum and illustrate the impact of interference factors such as crowds and RF equipment. Finally, we report on the results of the deployment of a public hotspot at the festival, focusing more on application-layer metrics parameters such as user experience and session statistics. The results show that the interference at such events is so high that adaptations to the protocol configuration are needed to improve performance.
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