Improving IEEE 802.11ax UORA Performance: Comparison of Reinforcement Learning and Heuristic Approaches

Improving IEEE 802.11ax UORA Performance: Comparison of Reinforcement Learning and Heuristic Approaches

Machine learning (ML) has gained attention from the network research community because it can help solve difficult problems and potentially lead to groundbreaking achievements. In the Wi-Fi domain, ML is applied to solve challenges such as efficient channel access and fair coexistence with other tec...

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Bibliographic Details
Main Authors: Katarzyna Kosek-Szott, Szymon Szott, Falko Dressler
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
deep Q-learning
IEEE 802.11ax
machine learning
OFDMA
reinforcement learning
UORA
Online Access:https://ieeexplore.ieee.org/document/9946841/

Internet

https://ieeexplore.ieee.org/document/9946841/

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