research-article

FLEX-MONROE: A Unified Platform for Experiments under Controlled and Operational LTE Settings

Authors:

Konstantinos Kousias,

Mohammad Rajiullah,

Anna Brunstrom,

Antonios ArgyriouAuthors Info & Claims

WiNTECH '17: Proceedings of the 11th Workshop on Wireless Network Testbeds, Experimental evaluation & CHaracterization

Pages 1 - 8

https://doi.org/10.1145/3131473.3131477

Published: 20 October 2017 Publication History

Abstract

This paper presents FLEX-MONROE, a unique platform that facilitates achieving a thorough understanding of LTE networks, one that captures the status of current operational MBB networks and that also enables LTE performance improvements by allowing experimentation in an environment with controllable LTE parameters. Using this platform, we propose to investigate how variations in the LTE network parameters influence the network characteristics, which, in turn, translate to application performance metrics that represent the end-user experience. We argue that the FLEX-MONROE platform is crucial to understand, validate and ultimately improve how current operational MBB networks perform, towards providing guidelines for designing future 5G architectures. Furthermore, understanding the effects of low-level tweaks in network parameters in the LTE infrastructure on the application performance is critical to provide guidelines on how to improve the application performance in the current but also future MBB networks.

References

[1]

Özgü Alay et al. 2016. Measuring and assessing mobile broadband networks with MONROE World of Wireless, Mobile and Multimedia Networks (WoWMoM). IEEE, 1--3.

[2]

Özgü Alay et al. 2017. Experience: An Open Platform for Experimentation with Commercial Mobile Broadband Networks. In Mobicom. ACM.

Digital Library

[3]

Athula Balachandran et al. 2014. Modeling web-quality of experience on cellular networks MobiCom. ACM, 213--224.

[4]

Dv ziugas Baltr=unas et al. 2014. Measuring the Reliability of Mobile Broadband Networks Internet Measurment Conference (IMC). ACM.

[5]

Gautam Bhanage et al. 2010. SplitAP: leveraging wireless network virtualization for flexible sharing of WLANs Global Telecommunications Conference (GLOBECOM). IEEE, 1--6.

[6]

Nina Bhatti et al. 2000. Integrating user-perceived quality into web server design. Computer Networks, Vol. 33, 1 (2000), 1--16.

Digital Library

[7]

Anna Bouch et al. 2000. Quality is in the eye of the beholder: meeting users' requirements for Internet quality of service. In SIGCHI conference on Human Factors in ComputingSystems. ACM, 297--304.

Digital Library

[8]

Michael Butkiewicz et al. 2011. Understanding website complexity: measurements, metrics, and implications Internet Measurement Conference (IMC). ACM, 313--328.

[9]

FCC. 2013. 2013 Measuring Broadband America February Report. Technical Report. FCC's Office of Engineering and Technology and Consumer and Governmental Affairs Bureau.

[10]

R. Fielding et al. 1999. Hypertext Transfer Protocol -- HTTP/1.1. RFC 2616 (Draft Standard). (June. 1999).

[11]

Matthias Hirth et al. 2015. Crowdsourced network measurements: Benefits and best practices. Computer Networks Vol. 90 (2015), 85--98.

Digital Library

[12]

Mahmoud I Kamel et al. 2014. LTE wireless network virtualization: Dynamic slicing via flexible scheduling Vehicular Technology Conference (VTC Fall). IEEE, 1--5.

[13]

Zahir Koradia et al. 2013. First Impressions on the State of Cellular Data Connectivity in India ACM DEV-4. ACM.

[14]

Christian Kreibich et al. 2010. Netalyzr: illuminating the edge network. In Proceedings of the 10th ACM SIGCOMM conference on Internet measurement. ACM, 246--259.

Digital Library

[15]

N. Makris et al. 2015. Enabling open access to LTE network components; the NITOS testbed paradigm 1st IEEE Conference on Network Softwarization (NetSoft). 1--6.

[16]

Ashkan Nikravesh et al. 2015. Mobilyzer: An open platform for controllable mobile network measurements International Conference on Mobile Systems, Applications, and Services. ACM, 389--404.

[17]

OOKLA. 2017. http://www.speedtest.net/. (2017).

[18]

John P Rula et al. 2014. No one-size fits all: Towards a principled approach for incentives in mobile crowdsourcing Workshop on Mobile Computing Systems and Applications. ACM, 3.

[19]

Selenium. 2017. (2017). http://www.seleniumhq.org

[20]

S. Sen et al. 2011. Can they hear me now?: A case for a client-assisted approach to monitoring wide-area wireless networks. In Proc. of IMC.

Digital Library

[21]

Junaid Shaikh et al. 2010. Quality of Experience from user and network perspectives. Annals of Telecommunications Vol. 65 (2010), 47--57. Issue 1.

[22]

Sierra-Wireless. 1997. https://www.sierrawireless.com/products-and-solutions/embedded-solutions/products/mc7455/. (1997).

[23]

Joel Sommers and Paul Barford. 2012. Cell vs. WiFi: on the performance of metro area mobile connections Internet measurement conference (IMC). ACM, 301--314.

[24]

Srikanth Sundaresan et al. 2013. Measuring and migrating web-performance bottleneck in broadband access network IMC. ACM.

[25]

Tektronix. 2009. Reduce Drive Test Costs and Increase Effectiveness of 3G Network Optimization. Technical Report. Tektronix Communications.

[26]

HAR Export Trigger. 2017. (2017). http://www.softwareishard.com/blog/har-export-trigger

[27]

Xiao Sophia Wang et al. 2013. Demystifying Page Load Performance with WProf. In NSDI. 473--485.

Cited By

Mendoza JPalacios Dde-la-Bandera IBaena EKhatib EBarco R(2019)Modeling the UE-perceived cellular network performance following a controller-based approachEURASIP Journal on Wireless Communications and Networking10.1186/s13638-019-1596-92019:1Online publication date: 21-Dec-2019
https://dl.acm.org/doi/10.1186/s13638-019-1596-9

FLEX-MONROE: A Unified Platform for Experiments under Controlled and Operational LTE Settings
1. Networks
  1. Network types

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Published In

cover image ACM Conferences

WiNTECH '17: Proceedings of the 11th Workshop on Wireless Network Testbeds, Experimental evaluation & CHaracterization

October 2017

114 pages

ISBN:9781450351478

DOI:10.1145/3131473

General Chair:
Chunyi Peng
Purdue University, USA
,
Program Chair:
Ilenia Tinnirello
University degli Studi di Palermo, Italy

Copyright © 2017 ACM.

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SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

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New York, NY, United States

Publication History

Published: 20 October 2017

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Funding Sources

EU H2020
Norwegian Research Council

Conference

MobiCom '17

Sponsor:

SIGMOBILE

MobiCom '17: The 23rd Annual International Conference on Mobile Computing and Networking

October 20, 2017

Utah, Snowbird, USA

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WiNTECH '17 Paper Acceptance Rate 11 of 16 submissions, 69%;

Overall Acceptance Rate 63 of 100 submissions, 63%

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Cited By

Mendoza JPalacios Dde-la-Bandera IBaena EKhatib EBarco R(2019)Modeling the UE-perceived cellular network performance following a controller-based approachEURASIP Journal on Wireless Communications and Networking10.1186/s13638-019-1596-92019:1Online publication date: 21-Dec-2019
https://dl.acm.org/doi/10.1186/s13638-019-1596-9

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