research-article

Experimental evaluation of multi-path schedulers for LTE/Wi-Fi devices

Authors:

Douglas J. LeithAuthors Info & Claims

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

Pages 41 - 48

https://doi.org/10.1145/2980159.2980169

Published: 03 October 2016 Publication History

Abstract

To improve network performance, LTE technology is rapidly being rolled out by network operators. At the same time almost all mobile devices also possess a WiFi interface which can potentially be used in tandem with LTE to further improve performance. Motivated by this and by the advantages of link aggregation, there is currently much interest in the transmission of data in parallel over LTE and WiFi. However, the design and evaluation of multi-path schedulers is challenging due to the fact that the path delays experienced in practice are non-stationary and, at present, poorly characterised. To start to address this challenge, in this paper we propose a trace-driven approach for performance evaluation of multi-path schedulers. This approach allows fair, reproducible comparisons that reflect actual performance since they are based on experimental data. We demonstrate the use of this approach to compare the performance of a number of schedulers.

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Cited By

Arain ZQiu XXu CWang MAbdul Rahim M(2023)Energy-Aware MPTCP Scheduling in Heterogeneous Wireless Networks Using Multi-Agent Deep Reinforcement Learning TechniquesElectronics10.3390/electronics1221449612:21(4496)Online publication date: 1-Nov-2023
https://doi.org/10.3390/electronics12214496
Xing YXue KZhang YHan JLi JWeiMember D(2023)An Online Learning Assisted Packet Scheduler for MPTCP in Mobile NetworksIEEE/ACM Transactions on Networking10.1109/TNET.2023.324616831:5(2297-2312)Online publication date: Oct-2023
https://doi.org/10.1109/TNET.2023.3246168
Wang DWang MZhang TYang SXu C(2022)CMT-MQ: Multi-QoS Aware Adaptive Concurrent Multipath Transfer With Reinforcement Learning2022 International Wireless Communications and Mobile Computing (IWCMC)10.1109/IWCMC55113.2022.9824120(901-906)Online publication date: 30-May-2022
https://doi.org/10.1109/IWCMC55113.2022.9824120
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Experimental evaluation of multi-path schedulers for LTE/Wi-Fi devices
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Published In

cover image ACM Other conferences

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

Copyright © 2016 ACM.

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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Science Foundation Ireland

Conference

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

Arain ZQiu XXu CWang MAbdul Rahim M(2023)Energy-Aware MPTCP Scheduling in Heterogeneous Wireless Networks Using Multi-Agent Deep Reinforcement Learning TechniquesElectronics10.3390/electronics1221449612:21(4496)Online publication date: 1-Nov-2023
https://doi.org/10.3390/electronics12214496
Xing YXue KZhang YHan JLi JWeiMember D(2023)An Online Learning Assisted Packet Scheduler for MPTCP in Mobile NetworksIEEE/ACM Transactions on Networking10.1109/TNET.2023.324616831:5(2297-2312)Online publication date: Oct-2023
https://doi.org/10.1109/TNET.2023.3246168
Wang DWang MZhang TYang SXu C(2022)CMT-MQ: Multi-QoS Aware Adaptive Concurrent Multipath Transfer With Reinforcement Learning2022 International Wireless Communications and Mobile Computing (IWCMC)10.1109/IWCMC55113.2022.9824120(901-906)Online publication date: 30-May-2022
https://doi.org/10.1109/IWCMC55113.2022.9824120
Vu VWolff JChatzimisios PCoutinho RNotare M(2021)Supporting Delay-Sensitive Applications with Multipath QUIC and Forward Erasure CorrectionProceedings of the 17th ACM Symposium on QoS and Security for Wireless and Mobile Networks10.1145/3479242.3487312(95-103)Online publication date: 22-Nov-2021
https://dl.acm.org/doi/10.1145/3479242.3487312
Fahmi KLeith DKucera SClaussen H(2020)SOS: Stochastic Object-aware Scheduler for low delay communication over multiple wireless pathsICC 2020 - 2020 IEEE International Conference on Communications (ICC)10.1109/ICC40277.2020.9149156(1-6)Online publication date: Jun-2020
https://doi.org/10.1109/ICC40277.2020.9149156
Sayit MKarayer EPhung CSecci SBoumerdassi S(2019)Numerical evaluation of MPTCP schedulers in terms of throughput and reliability2019 11th International Workshop on Resilient Networks Design and Modeling (RNDM)10.1109/RNDM48015.2019.8949163(1-6)Online publication date: Oct-2019
https://doi.org/10.1109/RNDM48015.2019.8949163
Song JDong PZhou HZheng TDu XGuizani M(2018)A Performance Analysis Model of TCP over Multiple Heterogeneous Paths for 5G Mobile ServicesSustainability10.3390/su1005133710:5(1337)Online publication date: 25-Apr-2018
https://doi.org/10.3390/su10051337
Gabriel FChorppath ATsokalo IFitzek F(2018)Multipath Communication with Finite Sliding Window Network Coding for Ultra-Reliability and Low Latency2018 IEEE International Conference on Communications Workshops (ICC Workshops)10.1109/ICCW.2018.8403489(1-6)Online publication date: May-2018
https://doi.org/10.1109/ICCW.2018.8403489
Guo YNikravesh AMao ZQian FSen SVan der Merwe KGreenstein BSrinivasan K(2017)Accelerating Multipath Transport Through Balanced Subflow CompletionProceedings of the 23rd Annual International Conference on Mobile Computing and Networking10.1145/3117811.3117829(141-153)Online publication date: 4-Oct-2017
https://dl.acm.org/doi/10.1145/3117811.3117829

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