An Investigation on the Performance of Highly Congested Home WiFi Networks During the Covid-19 Pandemic
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Hendry, Ben
Tan, Wee Lum
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Shenzhen, China
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Abstract
Due to COVID-19, many people throughout the world have had to suddenly transition to working and studying from home. This has led to an increase in data traffic in the home WiFi networks using the 802.11ac or 802.11n routers. In this paper, we have investigated the performance of the home WiFi networks in supporting the quality-of-service (QoS) needs of multiple home users concurrently watching streaming videos, playing online games, participating in online meetings, downloading huge files, etc. We measured the performance of these traffic streams using metrics such as delay, throughput, MOS-LQO (Mean Opinion Score - Listening Quality Objective) metric for audio streams and the VMAF (Video Multimethod Assessment Fusion) metric for video streams. Our results indicated that under highly congested network conditions, the 802.11ac router’s default settings performs the best in supporting the multiple concurrent traffic streams. In particular, our results show that the WMM 802.11e QoS feature in the router is critical to the router’s ability to prioritize video and audio traffic over other normal data traffic, and hence should always be enabled. Our results also show that the 802.11n router should be configured to operate in the 5 GHz frequency band. This is to avoid the congested 2.4 GHz frequency band and therefore enable the 802.11n router to support the QoS needs of the home users.
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Communications in Computer and Information Science
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1362
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© 2021 Springer Nature Singapore Pte Ltd. 2021. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher.The original publication is available at www.springerlink.com
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Networking and communications
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Cunningham, R; Hendry, B; Tan, WL, An Investigation on the Performance of Highly Congested Home WiFi Networks During the Covid-19 Pandemic, 2020