Machine Learning Enabled Wi-Fi Saturation Sensing for Fair Coexistence in Unlicensed Spectrum

Machine Learning Enabled Wi-Fi Saturation Sensing for Fair Coexistence in Unlicensed Spectrum

In the past few years, machine learning (ML) techniques have been extensively applied to provide efficient solutions to complex wireless network problems. As such, Convolutional Neural Network (CNN) and Q-learning based ML techniques are most popular to achieve harmonized coexistence of Wi-Fi with o...

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Bibliographic Details
Main Authors: Merkebu Girmay, Adnan Shahid, Vasilis Maglogiannis, Dries Naudts, Ingrid Moerman
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Wi-Fi saturation
traffic load estimation
coexistence
unlicensed spectrum
machine learning
convolutional neural networks
Online Access:https://ieeexplore.ieee.org/document/9378539/

Internet

https://ieeexplore.ieee.org/document/9378539/

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