Reinforcement Learning Approaches to Improve Spatial Reuse in Wireless Local Area Networks

Y Huang - 2022 - ro.uow.edu.au
The ubiquitous deployment of IEEE 802.11 based Wireless Local Area Networks (WLANs)
or WiFi networks has resulted in dense deployments of Access Points (APs) in an effort to …

Inspire: Distributed bayesian optimization for improving spatial reuse in dense wlans

A Bardou, T Begin - Proceedings of the 25th International ACM …, 2022 - dl.acm.org
WLANs, which have overtaken wired networks to become the primary means of connecting
devices to the Internet, are prone to performance issues due to the scarcity of space in the …

Potential and pitfalls of multi-armed bandits for decentralized spatial reuse in WLANs

F Wilhelmi, S Barrachina-Munoz, B Bellalta… - Journal of Network and …, 2019 - Elsevier
Spatial Reuse (SR) has recently gained attention to maximize the performance of IEEE
802.11 Wireless Local Area Networks (WLANs). Decentralized mechanisms are expected to …

Cooperate or not Cooperate: Transfer Learning with Multi-Armed Bandit for Spatial Reuse in Wi-Fi

PE Iturria-Rivera, M Chenier… - … Machine Learning in …, 2024 - ieeexplore.ieee.org
The exponential increase in the demand for high-performance services such as streaming
video and gaming by wireless devices has posed several challenges for Wireless Local …

Meta-Bandit: Spatial Reuse Adaptation via Meta-Learning in Distributed Wi-Fi 802.11 ax

PE Iturria-Rivera, M Chenier, B Herscovici… - IEEE Networking …, 2023 - ieeexplore.ieee.org
IEEE 802.11 ax introduces several amendments to previous standards with a special
interest in spatial reuse (SR) to respond to dense user scenarios with high demanding …

Analysis of a decentralized Bayesian optimization algorithm for improving spatial reuse in dense WLANs

A Bardou, T Begin - Computer Communications, 2023 - Elsevier
Despite representing the prominent means of accessing the Internet, WLANs remain subject
to performance issues, which may be mitigated through more efficient spatial reuse of radio …

Advanced Reinforcement Learning-Based Optimization Techniques for Wireless Access Networks

P Iturria Rivera - 2024 - ruor.uottawa.ca
Next-generation wireless networks have grown increasingly complex over the years due to
the continuous demand generated by newer services like Extended Reality (XR) …

A federated reinforcement learning framework for incumbent technologies in beyond 5G networks

R Ali, YB Zikria, S Garg, AK Bashir, MS Obaidat… - IEEE …, 2021 - ieeexplore.ieee.org
Incumbent wireless technologies for futuristic fifth generation (5G) and beyond 5G (B5G)
networks, such as IEEE 802.11 ax (WiFi), are vital to provide ubiquitous ultra-reliable and …

Learning-based spatial reuse for WLANs with early identification of interfering transmitters

B Yin, K Yamamoto, T Nishio… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
In this paper, a reinforcement learning-based spatial reuse scheme for wireless local area
networks (WLANs) is proposed and analyzed. In this scheme, when an access point (or a …

Improving IEEE 802.11 ax UORA performance: Comparison of reinforcement learning and heuristic approaches

K Kosek-Szott, S Szott, F Dressler - IEEE Access, 2022 - ieeexplore.ieee.org
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 …