research-article

LTE/Wi-Fi co-existence under scrutiny: an empirical study

Authors:

C. Capretti,

F. Gringoli,

N. Facchi,

P. PatrasAuthors Info & Claims

WiNTECH '16: Proceedings of the Tenth ACM International Workshop on Wireless Network Testbeds, Experimental Evaluation, and Characterization

Pages 33 - 40

https://doi.org/10.1145/2980159.2980164

Published: 03 October 2016 Publication History

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Abstract

Mobile operators are seeking to increase network capacity by extending Long Term Evolution (LTE) cellular operation into unlicensed frequency bands. While these efforts may respond to the projected exponential growth in mobile data traffic, significant concerns exist about the harmonious coexistence of LTE with incumbent Wi-Fi deployments.

In this paper we characterise experimentally the LTE and Wi-Fi behaviour when sharing the same spectrum while operating under a broad range of network conditions. Specifically, we deploy a test bed with commodity Wi-Fi hardware and low-cost software-defined radio equipment running an open-source LTE stack. We investigate the user-level performance attainable over these technologies when employing different settings, including LTE duty cycling patterns, Wi-Fi offered loads, transmit power levels, modulation and coding schemes, and packet sizes. We show that co-existence is feasible without modifications to the Wi-Fi stack, if LTE periodically employs "silent" sub-frames; however, optimising the performance of both requires non-trivial tuning of multiple parameters in conjunction with close monitoring of Wi-Fi operation and detection of application-specific requirements. Our findings lay the foundations for coherent design of practical LTE/Wi-Fi co-existence mechanisms.

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Cited By

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Ragchaa BKinoshita K(2023)Spectrum Sharing between Cellular and Wi-Fi Networks based on Deep Reinforcement LearningInternational journal of Computer Networks & Communications10.5121/ijcnc.2023.1510815:01(123-143)Online publication date: 30-Jan-2023
https://doi.org/10.5121/ijcnc.2023.15108
Soto PCamelo MFontaine JGirmay MShahid AMaglogiannis VDe Poorter EMoerman IBotero JLatre S(2020)Augmented Wi-Fi: An AI-based Wi-Fi Management Framework for Wi-Fi/LTE Coexistence2020 16th International Conference on Network and Service Management (CNSM)10.23919/CNSM50824.2020.9269064(1-9)Online publication date: 2-Nov-2020
https://doi.org/10.23919/CNSM50824.2020.9269064
Sathya VMehrnoush MGhosh MRoy S(2020)Wi-Fi/LTE-U Coexistence: Real-Time Issues and SolutionsIEEE Access10.1109/ACCESS.2020.29642108(9221-9234)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2964210
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Index Terms

LTE/Wi-Fi co-existence under scrutiny: an empirical study
1. Networks
  1. Network performance evaluation
    1. Network experimentation

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Published In

WiNTECH '16: Proceedings of the Tenth ACM International Workshop on Wireless Network Testbeds, Experimental Evaluation, and Characterization

October 2016

107 pages

ISBN:9781450342520

DOI:10.1145/2980159

Conference Chairs:
Dimitrios Koutsonikolas
University at Buffalo, SUNY
,
Paul Patras
The University of Edinburgh, UK

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 the author(s) 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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 October 2016

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European Commission

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MobiCom'16

MobiCom'16: The 22nd Annual International Conference on Mobile Computing and Networking

October 3 - 7, 2016

New York, New York City

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WiNTECH '16 Paper Acceptance Rate 10 of 15 submissions, 67%;

Overall Acceptance Rate 63 of 100 submissions, 63%

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Cited By

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Ragchaa BKinoshita K(2023)Spectrum Sharing between Cellular and Wi-Fi Networks based on Deep Reinforcement LearningInternational journal of Computer Networks & Communications10.5121/ijcnc.2023.1510815:01(123-143)Online publication date: 30-Jan-2023
https://doi.org/10.5121/ijcnc.2023.15108
Soto PCamelo MFontaine JGirmay MShahid AMaglogiannis VDe Poorter EMoerman IBotero JLatre S(2020)Augmented Wi-Fi: An AI-based Wi-Fi Management Framework for Wi-Fi/LTE Coexistence2020 16th International Conference on Network and Service Management (CNSM)10.23919/CNSM50824.2020.9269064(1-9)Online publication date: 2-Nov-2020
https://doi.org/10.23919/CNSM50824.2020.9269064
Sathya VMehrnoush MGhosh MRoy S(2020)Wi-Fi/LTE-U Coexistence: Real-Time Issues and SolutionsIEEE Access10.1109/ACCESS.2020.29642108(9221-9234)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2964210
Voicu ASimic LPetrova M(2019)Survey of Spectrum Sharing for Inter-Technology CoexistenceIEEE Communications Surveys & Tutorials10.1109/COMST.2018.288230821:2(1112-1144)Online publication date: Oct-2020
https://doi.org/10.1109/COMST.2018.2882308
Vlachou CPefkianakis IKim K(2018)LTERadarProceedings of the ACM on Measurement and Analysis of Computing Systems10.1145/32244282:2(1-31)Online publication date: 13-Jun-2018
https://dl.acm.org/doi/10.1145/3224428
Garcia-Saavedra APatras PValls VCosta-Perez XLeith D(2018)ORLA/OLAAIEEE/ACM Transactions on Networking10.1109/TNET.2018.287659026:6(2665-2678)Online publication date: 1-Dec-2018
https://dl.acm.org/doi/10.1109/TNET.2018.2876590
Yu WXu HNguyen JBlasch EHematian AGao W(2018)Survey of Public Safety Communications: User-Side and Network-Side Solutions and Future DirectionsIEEE Access10.1109/ACCESS.2018.28797606(70397-70425)Online publication date: 2018
https://doi.org/10.1109/ACCESS.2018.2879760
de Figueiredo FLiu WJiao XMoerman I(2017)Packetized-LTE Physical Layer Framework for Coexistence ExperimentsProceedings of the 15th ACM Conference on Embedded Network Sensor Systems10.1145/3131672.3136964(1-2)Online publication date: 6-Nov-2017
https://dl.acm.org/doi/10.1145/3131672.3136964
Hematian ANguyen JLu CYu WKu DGrygiel KCerny TKim SWang W(2017)Software Defined Radio Testbed Setup and ExperimentationProceedings of the International Conference on Research in Adaptive and Convergent Systems10.1145/3129676.3129690(172-177)Online publication date: 20-Sep-2017
https://dl.acm.org/doi/10.1145/3129676.3129690

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LTE WLAN interworking for Wi-Fi hotspots

LTE/Wi-Fi Coexistence in 5 GHz ISM Spectrum: Issues, Solutions and Perspectives

Towards a Wi-Fi ecosystem: Technology integration and emerging service models

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