Wi-Fi meets ML: A survey on improving IEEE 802.11 performance with machine learning

S Szott, K Kosek-Szott, P Gawłowicz… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant
position in providing Internet access thanks to their freedom of deployment and configuration …

A survey on how network simulators serve reinforcement learning in wireless networks

S Ergun, I Sammour, G Chalhoub - Computer Networks, 2023 - Elsevier
Rapid adoption of mobile devices, coupled with the increase in prominence of mobile
applications and services, resulted in unprecedented infrastructure requirements for mobile …

Survey of reinforcement-learning-based MAC protocols for wireless ad hoc networks with a MAC reference model

Z Zheng, S Jiang, R Feng, L Ge, C Gu - Entropy, 2023 - mdpi.com
In this paper, we conduct a survey of the literature about reinforcement learning (RL)-based
medium access control (MAC) protocols. As the scale of the wireless ad hoc network …

An adaptive backoff selection scheme based on Q-learning for CSMA/CA

Z Zheng, S Jiang, R Feng, L Ge, C Gu - Wireless Networks, 2023 - Springer
In dynamic wireless networks, nodes move in large-scale spaces with different
communications scenarios, including network traffic and unpredicted link state change …

Graph neural network-based node deployment for throughput enhancement

Y Yang, D Zou, X He - IEEE Transactions on Neural Networks …, 2023 - ieeexplore.ieee.org
The recent rapid growth in mobile data traffic entails a pressing demand for improving the
throughput of the underlying wireless communication networks. Network node deployment …

Effective multi-user delay-constrained scheduling with deep recurrent reinforcement learning

P Hu, L Pan, Y Chen, Z Fang, L Huang - Proceedings of the Twenty …, 2022 - dl.acm.org
Multi-user delay constrained scheduling is important in many real-world applications
including wireless communication, live streaming, and cloud computing. Yet, it poses a …

Improving Spatial Reuse of Wireless LANs using Contextual Bandits

H Kim, G Na, H Im, J So - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
Spatial reuse is an important factor in building highly efficient wireless local area networks.
The key to maximizing spatial reuse is to support concurrent transmissions while avoiding …

GCN-Enhanced Multi-Agent MAC Protocol for Vehicular Communications

M Li, W Wang, S Feng, T Fu, Y Wang… - 2024 IEEE 22nd …, 2024 - ieeexplore.ieee.org
In the vehicular ad-hoc network (VANET) environment, the constant changes in traffic
systems due to the real-time mobility of vehicles pose a challenge in developing …

[PDF][PDF] Contribution to the development of Wi-Fi networks through machine learning based prediction and classification techniques

SS Shaabanzadeh, J Sánchez-González - grcm.tsc.upc.edu
The growing number of Wi-Fi users and the emergence of bandwidth-intensive services
have necessitated an increase in Access Point (AP) density, resulting in more complex …

Distributed Reinforcement Learning for Low-delay Uplink User Scheduling in Multicell Networks

A Destounis, D Tsilimantos - GLOBECOM 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
In this paper we investigate the problem of uplink scheduling in a multicell system in order to
minimize the total queuing delay at the mobile devices. The proposed setting introduces an …