Intelligent-CW: AI-based Framework for Controlling Contention Window in WLANs

Amir Hossein Yazdani Abyaneh, Mohammed Hirzallah, Marwan Krunz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The heterogeneity of technologies that operate over the unlicensed 5 GHz spectrum, such as LTE-Licensed-Assisted-Access (LAA), 5G New Radio Unlicensed (NR-U), and WiFi, calls for more intelligent and efficient techniques to coordinate channel access beyond what current standards offer. Wi-Fi standards require nodes to adopt a fixed value for the minimum contention window (CW{min}), which prohibits a node from reacting to aggressive nodes that set their CWmin to small values. To address this problem, we propose a framework called Intelligent-CW (ICW) that allows nodes to adapt their CWmin values based on observed transmissions, ensuring they receive their fair share of the channel airtime. The CWmin value at a node is set based on a random forest, a machine learning model that includes a large number of decision trees. We train the random forest in a supervised manner over a large number of WLAN scenarios, including different misbehaving and aggressive scenarios. Under aggressive scenarios, our simulation results reveal that ICW provides nodes with higher throughput (153.9% gain) and 64% lower frame latency than standard techniques. In order to measure the fairness contribution of individual nodes, we introduce a new fairness metric. Based on this metric, ICW is shown to provide 10. 89 times improvement in fairness in aggressive scenarios compared to standard techniques.

Original languageEnglish (US)
Title of host publication2019 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728123769
DOIs
StatePublished - Nov 2019
Event2019 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2019 - Newark, United States
Duration: Nov 11 2019Nov 14 2019

Publication series

Name2019 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2019

Conference

Conference2019 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2019
CountryUnited States
CityNewark
Period11/11/1911/14/19

ASJC Scopus subject areas

  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications

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    Abyaneh, A. H. Y., Hirzallah, M., & Krunz, M. (2019). Intelligent-CW: AI-based Framework for Controlling Contention Window in WLANs. In 2019 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2019 [8935851] (2019 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DySPAN.2019.8935851