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MoFA: Mobility-aware Frame Aggregation in Wi-Fi

Authors:

Seungseok OhAuthors Info & Claims

CoNEXT '14: Proceedings of the 10th ACM International on Conference on emerging Networking Experiments and Technologies

Pages 41 - 52

https://doi.org/10.1145/2674005.2674995

Published: 02 December 2014 Publication History

Abstract

IEEE 802.11n WLAN supports frame aggregation called aggregate MAC protocol data unit (A-MPDU) as a key MAC technology to achieve high throughput. While it has been generally accepted that aggregating more subframes results in higher throughput by reducing protocol overheads, our measurements reveal various situations where the use of long A-MPDU frames frequently leads to poor performance in time-varying environments. Especially, since mobility intensifies the time-varying nature of the wireless channel, the current method of channel estimation conducted only at the beginning of a frame reception is insufficient to ensure robust delivery of long A-MPDU frames. Based on extensive experiments, we develop MoFA, a standard-compliant mobility-aware A-MPDU length adaptation scheme with ease of implementation. Our prototype implementation in commercial 802.11n devices shows that MoFA achieves the throughput 1.8x higher than a fixed duration setting (i.e., 10 ms, the maximum frame duration according to IEEE 802.11n standard). To our best knowledge, this is the first effort to optimize the A-MPDU length for commercial 802.11n.

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Cited By

Chattopadhyay AChandra A(2022)IEEE 802.11ac vs 802.11ad for V2X: How Many Frames Can We Aggregate?2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)10.1109/PIMRC54779.2022.9977545(913-918)Online publication date: 12-Sep-2022
https://doi.org/10.1109/PIMRC54779.2022.9977545
Rangisetti ADwivedi RModem S(2022)Fairness and Applications’ transport protocol aware frame aggregation using programmable WLANsWireless Networks10.1007/s11276-022-03153-z29:2(857-876)Online publication date: 2-Nov-2022
https://doi.org/10.1007/s11276-022-03153-z
Khastoo SBrecht TAbedi AAguilar Igartua MBellavista PLoureiro AGiannelli C(2020)NeuRAProceedings of the 23rd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems10.1145/3416010.3423217(161-170)Online publication date: 16-Nov-2020
https://dl.acm.org/doi/10.1145/3416010.3423217
Show More Cited By

Index Terms

MoFA: Mobility-aware Frame Aggregation in Wi-Fi
1. Networks
  1. Network types
    1. Mobile networks
    2. Wireless access networks

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Information

Published In

cover image ACM Conferences

CoNEXT '14: Proceedings of the 10th ACM International on Conference on emerging Networking Experiments and Technologies

December 2014

438 pages

ISBN:9781450332798

DOI:10.1145/2674005

General Chairs:
Aruna Seneviratne
NICTA/UNSW, Australia
,
Christophe Diot
Technicolor, France
,
Jim Kurose
Umass, USA
,
Program Chairs:
Augustin Chaintreau
Columbia University, USA
,
Luigi Rizzo
University of Pisa, Italy

Copyright © 2014 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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SIGCOMM: ACM Special Interest Group on Data Communication

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 December 2014

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CoNEXT '14

Sponsor:

SIGCOMM

CoNEXT '14: Conference on emerging Networking Experiments and Technologies

December 2 - 5, 2014

Sydney, Australia

Acceptance Rates

CoNEXT '14 Paper Acceptance Rate 27 of 133 submissions, 20%;

Overall Acceptance Rate 198 of 789 submissions, 25%

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Cited By

Chattopadhyay AChandra A(2022)IEEE 802.11ac vs 802.11ad for V2X: How Many Frames Can We Aggregate?2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)10.1109/PIMRC54779.2022.9977545(913-918)Online publication date: 12-Sep-2022
https://doi.org/10.1109/PIMRC54779.2022.9977545
Rangisetti ADwivedi RModem S(2022)Fairness and Applications’ transport protocol aware frame aggregation using programmable WLANsWireless Networks10.1007/s11276-022-03153-z29:2(857-876)Online publication date: 2-Nov-2022
https://doi.org/10.1007/s11276-022-03153-z
Khastoo SBrecht TAbedi AAguilar Igartua MBellavista PLoureiro AGiannelli C(2020)NeuRAProceedings of the 23rd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems10.1145/3416010.3423217(161-170)Online publication date: 16-Nov-2020
https://dl.acm.org/doi/10.1145/3416010.3423217
Abedi ABrecht TAbari OAguilar Igartua MBellavista PLoureiro AGiannelli C(2020)PNOFAProceedings of the 23rd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems10.1145/3416010.3423215(63-72)Online publication date: 16-Nov-2020
https://dl.acm.org/doi/10.1145/3416010.3423215
Coronado EThomas ARiggio R(2020)Adaptive ML-Based Frame Length Optimisation in Enterprise SD-WLANsJournal of Network and Systems Management10.1007/s10922-020-09527-yOnline publication date: 17-Mar-2020
https://doi.org/10.1007/s10922-020-09527-y
Inamullah MRaman BLoureiro AKanhere SBellavista P(2019)802.11ac Frame Aggregation is BottleneckedProceedings of the 22nd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems10.1145/3345768.3355936(45-49)Online publication date: 25-Nov-2019
https://dl.acm.org/doi/10.1145/3345768.3355936
Bielsa GLoch ATejado INitsche TWidmer J(2019)60 GHz Networking: Mobility, Beamforming, and Frame Level Operation from Theory to PracticeIEEE Transactions on Mobile Computing10.1109/TMC.2018.287509518:10(2217-2230)Online publication date: 1-Oct-2019
https://doi.org/10.1109/TMC.2018.2875095
Gong WLiu J(2019)RoArray: Towards More Robust Indoor Localization Using Sparse Recovery with Commodity WiFiIEEE Transactions on Mobile Computing10.1109/TMC.2018.286001818:6(1380-1392)Online publication date: 1-Jun-2019
https://doi.org/10.1109/TMC.2018.2860018
Assasa HKumar Saha SLoch AKoutsonikolas DWidmer J(2018)Medium Access and Transport Protocol Aspects in Practical 802.11 ad Networks2018 IEEE 19th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM)10.1109/WoWMoM.2018.8449795(1-11)Online publication date: Jun-2018
https://doi.org/10.1109/WoWMoM.2018.8449795
Setia FArif TMunadi R(2018)Collision-Aware Rate Adaptation Algorithm for High-Throughput IEEE 802.11n WLANs2018 6th International Conference on Information and Communication Technology (ICoICT)10.1109/ICoICT.2018.8528814(12-17)Online publication date: May-2018
https://doi.org/10.1109/ICoICT.2018.8528814
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