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Measuring the Reliability of Mobile Broadband Networks

Published: 05 November 2014 Publication History

Abstract

Mobile broadband networks play an increasingly important role in society, and there is a strong need for independent assessments of their robustness and performance. A promising source of such information is active end-to-end measurements. It is, however, a challenging task to go from individual measurements to an assessment of network reliability, which is a complex notion encompassing many stability and performance related metrics. This paper presents a framework for measuring the user-experienced reliability in mobile broadband networks. We argue that reliability must be assessed at several levels, from the availability of the network connection to the stability of application performance. Based on the proposed framework, we conduct a large-scale measurement study of reliability in 5 mobile broadband networks. The study builds on active measurements from hundreds of measurement nodes over a period of 10 months. The results show that the reliability of mobile broadband networks is lower than one could hope: more than 20% of connections from stationary nodes are unavailable more than 10 minutes per day. There is, however, a significant potential for improving robustness if a device can connect simultaneously to several networks. We find that in most cases, our devices can achieve 99.999% ("five nines") connection availability by combining two operators. We further show how both radio conditions and network configuration play important roles in determining reliability, and how external measurements can reveal weaknesses and incidents that are not always captured by the operators' existing monitoring tools.

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Published In

cover image ACM Conferences
IMC '14: Proceedings of the 2014 Conference on Internet Measurement Conference
November 2014
524 pages
ISBN:9781450332132
DOI:10.1145/2663716
Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

Publication History

Published: 05 November 2014

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Author Tags

  1. mobile broadband
  2. reliability
  3. robustness

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  • Research-article

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IMC '14
Sponsor:
IMC '14: Internet Measurement Conference
November 5 - 7, 2014
BC, Vancouver, Canada

Acceptance Rates

IMC '14 Paper Acceptance Rate 32 of 103 submissions, 31%;
Overall Acceptance Rate 277 of 1,083 submissions, 26%

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Cited By

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  • (2024)WIP: An Open Data Set about Multi-Provider Redundancy in Cellular Networks2024 IEEE 25th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)10.1109/WoWMoM60985.2024.00063(359-362)Online publication date: 4-Jun-2024
  • (2024)Subjective QoE Assessment for Virtual Reality Cloud-based First-Person Shooter GameICC 2024 - IEEE International Conference on Communications10.1109/ICC51166.2024.10622467(4698-4703)Online publication date: 9-Jun-2024
  • (2023)Modeling Variation in Mobile Download Speed in Presence of Missing SamplesIEEE Transactions on Mobile Computing10.1109/TMC.2022.3231928(1-16)Online publication date: 2023
  • (2023)Differential protection strategy for distribution network based on 5G communicationIET Generation, Transmission & Distribution10.1049/gtd2.1278717:9(2028-2037)Online publication date: 16-Feb-2023
  • (2022)DSM-MoC as Baseline: Reliability Assurance via Redundant Cellular Connectivity in Connected CarsIEEE Transactions on Network and Service Management10.1109/TNSM.2022.315345219:3(2178-2194)Online publication date: Sep-2022
  • (2022)Differentially Private Tripartite Intelligent Matching Against Inference Attacks in Ride-Sharing ServicesIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2021.313638623:11(22583-22595)Online publication date: Nov-2022
  • (2022)Securing Wireless Payment-Channel Networks With Minimum Lock Time WindowsICC 2022 - IEEE International Conference on Communications10.1109/ICC45855.2022.9839064(2297-2302)Online publication date: 16-May-2022
  • (2022)5G Communication Technology Application in Active Distribution Network Protection2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )10.1109/IAEAC54830.2022.9929818(1789-1792)Online publication date: 3-Oct-2022
  • (2020)CableMonProceedings of the 17th Usenix Conference on Networked Systems Design and Implementation10.5555/3388242.3388287(619-632)Online publication date: 25-Feb-2020
  • (2020)Using GANs for Sharing Networked Time Series DataProceedings of the ACM Internet Measurement Conference10.1145/3419394.3423643(464-483)Online publication date: 27-Oct-2020
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