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Clearing the RF smog: making 802.11n robust to cross-technology interference

Authors:

Shyamnath Gollakota,

Srinivasan SeshanAuthors Info & Claims

SIGCOMM '11: Proceedings of the ACM SIGCOMM 2011 conference

Pages 170 - 181

https://doi.org/10.1145/2018436.2018456

Published: 15 August 2011 Publication History

Abstract

Recent studies show that high-power cross-technology interference is becoming a major problem in today's 802.11 networks. Devices like baby monitors and cordless phones can cause a wireless LAN to lose connectivity. The existing approach for dealing with such high-power interferers makes the 802.11 network switch to a different channel; yet the ISM band is becoming increasingly crowded with diverse technologies, and hence many 802.11 access points may not find an interference-free channel.

This paper presents TIMO, a MIMO design that enables 802.11n to communicate in the presence of high-power cross-technology interference. Unlike existing MIMO designs, however, which require all concurrent transmissions to belong to the same technology, TIMO can exploit MIMO capabilities to decode in the presence of a signal from a different technology, hence enabling diverse technologies to share the same frequency band. We implement a prototype of TIMO in GNURadio-USRP2 and show that it enables 802.11n to communicate in the presence of interference from baby monitors, cordless phones, and microwave ovens, transforming scenarios with a complete loss of connectivity to operational networks.

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Cited By

Guo ZLi MKrunz M(2024)Exploiting Successive Interference Cancellation for Spectrum Sharing Over Unlicensed BandsIEEE Transactions on Mobile Computing10.1109/TMC.2023.326419523:3(2438-2455)Online publication date: Mar-2024
https://doi.org/10.1109/TMC.2023.3264195
Guo ZZhang WLi MKrunz MManshaei M(2024)DL-SIC: Deep Learning Aided Successive Interference Cancellation in Shared Spectrum2024 International Conference on Computing, Networking and Communications (ICNC)10.1109/ICNC59896.2024.10556346(754-760)Online publication date: 19-Feb-2024
https://doi.org/10.1109/ICNC59896.2024.10556346
Zhang XWu YZhang AZhang G(2024)Jamming Attack and Defense Based on Deep Learning in Cross-Technology Communication2024 International Conference on Cloud and Network Computing (ICCNC)10.1109/ICCNC63989.2024.00027(126-133)Online publication date: 31-May-2024
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Index Terms

Clearing the RF smog: making 802.11n robust to cross-technology interference
1. Hardware
  1. Communication hardware, interfaces and storage
2. Networks

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Published In

cover image ACM Conferences

SIGCOMM '11: Proceedings of the ACM SIGCOMM 2011 conference

August 2011

502 pages

ISBN:9781450307970

DOI:10.1145/2018436

General Chairs:
Srinivasan Keshav
University of Waterloo, Canada
,
Jörg Liebeherr
University of Toronto, Canada
,
Program Chairs:
John Byers
Boston University, USA
,
Jeffrey Mogul
HP Labs, USA

ACM SIGCOMM Computer Communication Review Volume 41, Issue 4
SIGCOMM '11
August 2011
480 pages
ISSN:0146-4833
DOI:10.1145/2043164
Issue’s Table of Contents

Copyright © 2011 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 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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SIGCOMM: ACM Special Interest Group on Data Communication

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 August 2011

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SIGCOMM '11: ACM SIGCOMM 2011 Conference

August 15 - 19, 2011

Ontario, Toronto, Canada

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SIGCOMM '11 Paper Acceptance Rate 32 of 223 submissions, 14%;

Overall Acceptance Rate 462 of 3,389 submissions, 14%

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Cited By

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https://doi.org/10.1109/TMC.2023.3264195
Guo ZZhang WLi MKrunz MManshaei M(2024)DL-SIC: Deep Learning Aided Successive Interference Cancellation in Shared Spectrum2024 International Conference on Computing, Networking and Communications (ICNC)10.1109/ICNC59896.2024.10556346(754-760)Online publication date: 19-Feb-2024
https://doi.org/10.1109/ICNC59896.2024.10556346
Zhang XWu YZhang AZhang G(2024)Jamming Attack and Defense Based on Deep Learning in Cross-Technology Communication2024 International Conference on Cloud and Network Computing (ICCNC)10.1109/ICCNC63989.2024.00027(126-133)Online publication date: 31-May-2024
https://doi.org/10.1109/ICCNC63989.2024.00027
Wang XHuang JShi BOu ZLuo GKong LZhang DXu CCosta XAl Hassanieh HAsadi ACox LPerino DWidmer JGiustiniano D(2023)RF-SIFTER: Sifting Signals at Layer-0.5 to Mitigate Wideband Cross-Technology Interference for IoTProceedings of the 29th Annual International Conference on Mobile Computing and Networking10.1145/3570361.3592513(1-14)Online publication date: 2-Oct-2023
https://dl.acm.org/doi/10.1145/3570361.3592513
Marti GStuder C(2023)Single-Antenna Jammers in MIMO-OFDM Can Resemble Multi-Antenna JammersIEEE Communications Letters10.1109/LCOMM.2023.331981827:11(3103-3107)Online publication date: Nov-2023
https://doi.org/10.1109/LCOMM.2023.3319818
Guo XHe YLiu YGuo XHe YLiu Y(2023)Physical Level CTC Based on Cross DemappingCross-Technology Communication for Internet of Things10.1007/978-981-99-3719-6_4(87-121)Online publication date: 26-May-2023
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Chen RHuang KGao WGummeson JLee SGao JXing G(2022)AiFiProceedings of the 20th ACM Conference on Embedded Networked Sensor Systems10.1145/3560905.3568537(134-148)Online publication date: 6-Nov-2022
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Tong SWang JLiu Y(2022)Combating Packet Collisions Using Non-Stationary Signal Scaling in LPWANsIEEE/ACM Transactions on Networking10.1109/TNET.2021.313170430:3(1104-1117)Online publication date: Jun-2022
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Narayanan RKumar SMurthy C(2022)Cross Technology Distributed MIMO for Low Power IoTIEEE Transactions on Mobile Computing10.1109/TMC.2020.302921821:5(1609-1624)Online publication date: 1-May-2022
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Yu SZhang XHuang PGuo L(2022)Physical-Level Parallel Inclusive Communication for Heterogeneous IoT DevicesIEEE INFOCOM 2022 - IEEE Conference on Computer Communications10.1109/INFOCOM48880.2022.9796876(380-389)Online publication date: 2-May-2022
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