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Poster: Experimental Evaluation of TCP Congestion Control over 60GHz WLAN

Published: 04 October 2019 Publication History

Abstract

The multi-Gbps bandwidth offered by 60GHz millimeter-wave (mmWave) links has enabled a wide range of applications such as untethered virtual reality, fast file synchronization, and uncompressed video streaming. To provide these applications with high network utilization while preventing overload, TCP congestion control (CC) determines the data sending rate to achieve high throughput and/or low delay.
CC over highly fluctuating 60GHz networks is extremely challenging -- the high directionality and small wavelength of mmWave make it vulnerable to mobility and blockage. Despite numerous studies on CC in WiFi/LTE, CC in 60GHz remains underexplored. To the best of our knowledge, the only related work on CC in mmWave is~\citezhang2016transport. However, it's simulation-based and focuses on 28GHz mmWave cellular. Also, it only looks at loss-based CC algorithms and limited scenarios. We close this gap with a first experimental study that comprehensively evaluates the CC performance over commercial 60GHz WLAN using COTS devices. Our study aims to characterize the behavior and performance of different CC algorithms over 60GHz in a wide range of real-world mobility and blockage scenarios. We believe this is a critical step towards designing mmWave-friendly CC algorithms.

Reference

[1]
Zhang et almbox. 2016. Transport Layer Performance in 5G mmWave Cellular. In INFOCOM WKSHPS. IEEE.

Cited By

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  • (2020)Can We Exploit Machine Learning to Predict Congestion over mmWave 5G Channels?Applied Sciences10.3390/app1018616410:18(6164)Online publication date: 4-Sep-2020

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  1. Poster: Experimental Evaluation of TCP Congestion Control over 60GHz WLAN

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      cover image ACM Conferences
      S3'19: Proceedings of the 2019 on Wireless of the Students, by the Students, and for the Students Workshop
      October 2019
      50 pages
      ISBN:9781450369299
      DOI:10.1145/3349621
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 04 October 2019

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      Author Tags

      1. 60ghz
      2. congestion control
      3. ieee 802.11ad wlan
      4. millimeter-wave
      5. tcp

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      Overall Acceptance Rate 65 of 93 submissions, 70%

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      • (2020)Can We Exploit Machine Learning to Predict Congestion over mmWave 5G Channels?Applied Sciences10.3390/app1018616410:18(6164)Online publication date: 4-Sep-2020

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