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Demo: enabling AGILE spectrum adaptation in commercial 802.11 WLAN deployments

Published: 07 September 2014 Publication History

Abstract

In this work, we present the AGILE Spectrum Adaptation system that is able to dynamically tune the channel central frequency and bandwidth of wireless links in an adaptive to the interference and traffic conditions way. The developed system is able to detect under-utilised spectrum fragments and optimally adjust the occupied spectrum. Through the online execution of 3 specifically designed experimental scenarios, we demonstrate the ability to implement distributed spectrum adaptation in commercial WLAN deployments, along with the obtained performance benefits.

References

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A. Mishra, V. Shrivastava, D. Agrawal, S. Banerjee, and S. Ganguly. Distributed Channel Management in Uncoordinated Wireless Environments. In Proceedings of MOBICOM, 2006.
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B. Kauffmann, F. Baccelli, A. Chaintreau, V. Mhatre, K. Papagiannaki, and C. Diot. Measurement-Based Self Organization of Interfering 802.11 Wireless Access Networks. In Proceedings of INFOCOM, 2007.
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S. Chieochan, E. Hossain, and J. Diamond. Channel assignment schemes for infrastructure-based 802.11 WLANs: A survey. Communications Surveys Tutorials, IEEE, 2010.
[4]
G. Kazdaridis, S. Keranidis, A. Fiamegkos, T. Korakis, I. Koutsopoulos, and L. Tassiulas. Novel Metrics and Experimentation Insights for Dynamic Frequency Selection in Wireless LANs. In Proceedings of ACM WiNTECH, 2011.
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Shravan Rayanchu, Ashish Patro, and Suman Banerjee. Airshark: Detecting non-WiFi RF Devices Using Commodity WiFi Hardware. In Proceedings of IMC, 2011.
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Krishna, C., Bozidar, R., Vlad, B., Michael, B., Srinivas Yerramalli, Vishnu Navda, and Ramachandran Ramjee. WiFi-NC: WiFi Over Narrow Channels. In Proceedings of NSDI, 2012.
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S. Yun, D. Kim, and L. Qiu. Fine-grained Spectrum Adaptation in WiFi Networks. In Proceedings of MOBICOM, 2013.
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S. Rayanchu, V. Shrivastava, S. Banerjee, and R. Chandra. FLUID: Improving Throughputs in Enterprise Wireless Lans Through Flexible Channelization. In Proceedings of MOBICOM, 2011.

Cited By

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  • (2023)A study on the channel bonding in IoT networks: Requirements, applications, and challengesInternational Journal of Communication Systems10.1002/dac.544336:6Online publication date: 28-Jan-2023
  • (2019)Spectrum Coordination for Disaggregated Ultra Dense Heterogeneous 5G Networks2019 European Conference on Networks and Communications (EuCNC)10.1109/EuCNC.2019.8801955(512-517)Online publication date: Jun-2019
  • (2018)Remaining idle time aware intelligent channel bonding schemes for cognitive radio sensor networksWireless Networks10.1007/s11276-018-1745-925:8(4523-4539)Online publication date: 9-May-2018
  • Show More Cited By

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Published In

cover image ACM Conferences
MobiCom '14: Proceedings of the 20th annual international conference on Mobile computing and networking
September 2014
650 pages
ISBN:9781450327831
DOI:10.1145/2639108
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 September 2014

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Author Tags

  1. 802.11
  2. agile
  3. cognitive
  4. distributed
  5. dynamic spectrum adaptation

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  • Demonstration

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MobiCom'14
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MobiCom '14 Paper Acceptance Rate 36 of 220 submissions, 16%;
Overall Acceptance Rate 440 of 2,972 submissions, 15%

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Cited By

View all
  • (2023)A study on the channel bonding in IoT networks: Requirements, applications, and challengesInternational Journal of Communication Systems10.1002/dac.544336:6Online publication date: 28-Jan-2023
  • (2019)Spectrum Coordination for Disaggregated Ultra Dense Heterogeneous 5G Networks2019 European Conference on Networks and Communications (EuCNC)10.1109/EuCNC.2019.8801955(512-517)Online publication date: Jun-2019
  • (2018)Remaining idle time aware intelligent channel bonding schemes for cognitive radio sensor networksWireless Networks10.1007/s11276-018-1745-925:8(4523-4539)Online publication date: 9-May-2018
  • (2016)A Survey of Channel Bonding for Wireless Networks and Guidelines of Channel Bonding for Futuristic Cognitive Radio Sensor NetworksIEEE Communications Surveys & Tutorials10.1109/COMST.2015.250440818:2(924-948)Online publication date: Oct-2017
  • (2016)PRACB: A Novel Channel Bonding Algorithm for Cognitive Radio Sensor NetworksIEEE Access10.1109/ACCESS.2016.26184184(6950-6963)Online publication date: 2016
  • (2014)Wireless network virtualization: The CONTENT project approach2014 IEEE 19th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)10.1109/CAMAD.2014.7033212(90-94)Online publication date: Dec-2014

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