Wi-Fi meets ML: A survey on improving IEEE 802.11 performance with machine learning
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 …
position in providing Internet access thanks to their freedom of deployment and configuration …
Machine Learning Applications in Energy Harvesting Internet of Things Networks: A Review
The growth of Internet of Things (IoT) devices continues to experience an exponential rise
due to their vast applications in various industries. However, sustaining their operational …
due to their vast applications in various industries. However, sustaining their operational …
Federated spatial reuse optimization in next-generation Decentralized IEEE 802.11 WLANs
As wireless standards evolve, more complex functionalities are introduced to address the
increasing requirements in terms of throughput, latency, security, and efficiency. To unleash …
increasing requirements in terms of throughput, latency, security, and efficiency. To unleash …
Cost-aware bandits for efficient channel selection in hybrid band networks
Recently, hybrid band communications have received much attention to fulfil the
exponentially growing user demands in next-generation communication networks. Still …
exponentially growing user demands in next-generation communication networks. Still …
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 …
The key to maximizing spatial reuse is to support concurrent transmissions while avoiding …
A federated reinforcement learning framework for link activation in multi-link Wi-Fi networks
R Ali, B Bellalta - … IEEE International Black Sea Conference on …, 2023 - ieeexplore.ieee.org
Next-generation Wi-Fi networks are looking forward to introducing new features like multi-
link operation (MLO) to both achieve higher throughput and lower latency. However, given …
link operation (MLO) to both achieve higher throughput and lower latency. However, given …
MUSCAT: Distributed multi-agent Q-learning-based minimum span channel allocation technique for UAV-enabled wireless networks
We consider a minimum span channel allocation problem (MS-CAP) to overcome spectrum
scarcity and facilitate the efficiency of unmanned aerial vehicle (UAV)-enabled wireless …
scarcity and facilitate the efficiency of unmanned aerial vehicle (UAV)-enabled wireless …
LiTE4DCB: A Lightweight Throughput Estimation for Heterogeneous Dynamic Channel Bonding WLANs Based on Continuous-Time Markov Chain
HNQ Hoang, DH Kim, JD Kim - IEEE Access, 2024 - ieeexplore.ieee.org
Dynamic Channel Bonding (DCB) is a channel access scheme of Channel Bonding (CB) in
IEEE 802.11 n/ac Wireless Local Area Network (WLAN) that allows devices to dynamically …
IEEE 802.11 n/ac Wireless Local Area Network (WLAN) that allows devices to dynamically …
A Dueling Deep Recurrent Q‐Network Framework for Dynamic Multichannel Access in Heterogeneous Wireless Networks
H Chen, H Zhao, L Zhou, J Zhang, Y Liu… - Wireless …, 2022 - Wiley Online Library
This paper investigates a deep reinforcement learning algorithm based on dueling deep
recurrent Q‐network (Dueling DRQN) for dynamic multichannel access in heterogeneous …
recurrent Q‐network (Dueling DRQN) for dynamic multichannel access in heterogeneous …
Coordinated Multi-Armed Bandits for Improved Spatial Reuse in Wi-Fi
Multi-Access Point Coordination (MAPC) and Artificial Intelligence and Machine Learning
(AI/ML) are expected to be key features in future Wi-Fi, such as the forthcoming IEEE 802.11 …
(AI/ML) are expected to be key features in future Wi-Fi, such as the forthcoming IEEE 802.11 …