Characterizing and Improving WiFi Latency in Large-Scale Operational Networks

Sui, Kaixin; Zhou, Mengyu; Liu, Dapeng; Ma, Minghua; Pei, Dan; Zhao, Youjian; Li, Zimu; Moscibroda, Thomas

doi:10.1145/2906388.2906393

Cited by 80 publications

(39 citation statements)

References 22 publications

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“…It did not exceed 4.7 ms. The latency of the data transmission over IEEE 802.11n-2009 wireless network was estimated to be approximately 3 ms, based on the median value of a typical consumer grade, uncongested wireless network [86]. Although the latencies due to scene rendering and display in the HMD were not directly measured, a similar set-up was previously used in [43].…”

Section: Instrumentationmentioning

confidence: 99%

Gait coordination in overground walking with a virtual reality avatar

Soczawa-Stronczyk

Bocian

2020

R. Soc. open sci.

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Little information is currently available on interpersonal gait synchronization in overground walking. This is caused by difficulties in continuous gait monitoring over many steps while ensuring repeatability of experimental conditions. These challenges could be overcome by using immersive virtual reality (VR), assuming it offers ecological validity. To this end, this study provides some of the first evidence of gait coordination patterns for overground walking dyads in VR. Six subjects covered the total distance of 27 km while walking with a pacer. The pacer was either a real human subject or their anatomically and biomechanically representative VR avatar driven by an artificial intelligence algorithm. Side-by-side and front-to-back arrangements were tested without and with the instruction to synchronize steps. Little evidence of spontaneous gait coordination was found in both visual conditions, but persistent gait coordination patterns were found in the case of intentional synchronization. Front-to-back rather than side-by-side arrangement consistently yielded in the latter case higher mean synchronization strength index. Although the mean magnitude of synchronization strength index was overall comparable in both visual conditions when walking under the instruction to synchronize steps, quantitative and qualitative differences were found which might be associated with common limitations of VR solutions.

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Section: Instrumentationmentioning

confidence: 99%

Gait coordination in overground walking with a virtual reality avatar

Soczawa-Stronczyk

Bocian

2020

R. Soc. open sci.

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“…Network optimizations such as load-balance can be implemented on this platform; also, our platform could be extended to support the load-balance applications. Research work [14,15,[24][25][26][27][28] focuses on Wi-Fi measurements. The author of PIE [24] captures and records wireless frames and analyzes whether two wireless links are mutually interfering if the packets of two links can be transmitted at the same time.…”

Section: Wi-fimentioning

confidence: 99%

“…They define WiTT (Wi-Fi-based TCP throughput) as the wireless experience indicator, then regress WiTT with some of the Wi-Fi measurement metrics. Similarly, the authors of [14,15,26] predict page load time, packet latency (RTT for ping command) with some of the Wi-Fi metrics. The authors in [27] used a machine learning method to explore the relationship between AP sensing behaviors and the wireless network states (AP sensing processes are launched by clients to find potential APs, and they are time-consuming and can harm the throughputs).…”

Section: Wi-fimentioning

confidence: 99%

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Learn-ing-Based On-AP TCP Performance Enhancement

Lin

Jiang

2020

Wireless Communications and Mobile Computing

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Data transmissions suffer from TCP’s poor performance since the introduction of the first commercial wireless services in the 1990s. Recent years have witnessed a surge of academia and industry activities in the field of TCP performance optimization. For a TCP flow whose last hop is a wireless link, congestions in the last hop dominate its performance. We implement an integral data sampling, network monitoring, and rate control software-defined wireless networking (SDWN) system. By analysing our sampled data, we find that there exist strong relationships between congestion packet loss behaviors and the instant cross-layer network metric measurements (states). We utilize these qualitative relationships to predict future congestions in wireless links and enhance TCP performance by launch necessary rate control locally on the access points (AP) before the congestions. We also implement modeling and rate control modules on this platform. Our platform senses the instant wireless dynamic and takes actions promptly to avoid future congestions. We conduct real-world experiments to evaluate its performance. The experiment results show that our methods outperform the bottleneck bandwidth and RTT (BBR) protocol and a recently proposed protocol Vivace on throughput, delay, and jitter performance at least 16.5%, 25%, and 12.6%, respectively.

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“…In this section, we show its behavior when the network conditions change. To this end, we run the simulations with two others mobile devices connected to the following networks [37,36]: Note that, these values may change drastically in the same communication network. Figures 9 and 10 show the weighted absolute deviation from utopia for scenarios 1 and 2, respectively.…”

Section: Impact Of the Communication Network Conditionsmentioning

confidence: 99%

A TOPSIS-based QoE model for adapted content selection of slide documents

Louafi

Coulombe

Cheriet

2018

Multimed Tools Appl

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In certain platforms, such as Google Docs, documents are adapted for specific mobile device types, and the installation of their applications is required. Although the documents can be accessed via Web browsers, their correctness is not guaranteed. In content selection, the document is adapted into various versions, from which the optimal one, based on a quality of experience (QoE) criterion, is delivered. Existing works evaluate the QoE of each content version using the user's preferences and context parameters, such as device resolution and network bitrate. They ask the user to weight the context parameters, and then combine them using the simpleadditive-weighting (SAW) method. However, not all users are familiar with the context parameters, and cannot understand their relationship with the requested content. Besides, not all parameters are compensatory to be summed up. In this paper, we propose a TOPSIS-based QoE model to address the two aforementioned drawbacks. We use the context parameters to define high-level functions understandable by all users, and combine them using the TOPSIS method. Experimental results show the convenience of our QoE model and its reliability over the SAW-based method, as well as the weighting-product (WP) method, which is used as an alternative to the SAW one.

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Characterizing and Improving WiFi Latency in Large-Scale Operational Networks

Cited by 80 publications

References 22 publications

Gait coordination in overground walking with a virtual reality avatar

Gait coordination in overground walking with a virtual reality avatar

Learn-ing-Based On-AP TCP Performance Enhancement

A TOPSIS-based QoE model for adapted content selection of slide documents

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