[HTML][HTML] Applying multi-agent deep reinforcement learning for contention window optimization to enhance wireless network performance
This paper investigates the Contention Window (CW) optimization problem in multi-agent
scenarios, where the fully cooperative among mobile stations is considered. A partially …
scenarios, where the fully cooperative among mobile stations is considered. A partially …
OTOP: Optimized transmission power controlled OBSS PD based spatial reuse for high throughput in IEEE 802.11 be WLANs
J Jung, J Baik, Y Kim, HS Park… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
As wireless local area network (WLAN) devices become more prevalent in various
environments, the IEEE 802.11 ax standard (Wi-Fi 6), released in 2021, aims to improve the …
environments, the IEEE 802.11 ax standard (Wi-Fi 6), released in 2021, aims to improve the …
Dynamic adaptation of contention window boundaries using deep Q networks in UAV swarms
In flying ad hoc networks (FANET), medium access layer (MAC) protocols play an essential
role in ensuring better network performance. The effective utilization of network resources …
role in ensuring better network performance. The effective utilization of network resources …
Reinforcement learning-based Wi-Fi contention window optimization
SJ Sheila de Cássia, MA Ouameur… - Journal of …, 2023 - jcis.emnuvens.com.br
The collision avoidance mechanism adopted by the IEEE 802.11 standard is not optimal.
The mechanism employs a binary exponential backoff (BEB) algorithm in the medium …
The mechanism employs a binary exponential backoff (BEB) algorithm in the medium …
PreM-FedIoV: A Novel Federated Reinforcement Learning Framework for Predictive Maintenance in IoV
The Internet of Vehicles (IoV) enhances data availability by equipping a plethora of sensors,
driving the automotive industry towards data-driven Predictive Maintenance (PreM) models …
driving the automotive industry towards data-driven Predictive Maintenance (PreM) models …
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 …
Reinforcement Learning-based Wi-Fi Contention Window Optimization
SCS Cruz, MA Ouameur, FAP de Figueiredo - 2022 - preprints.org
The collision avoidance mechanism adopted by the IEEE 802.11 standard is not optimal.
The mechanism employs a binary exponential backoff (BEB) algorithm in the medium …
The mechanism employs a binary exponential backoff (BEB) algorithm in the medium …
[PDF][PDF] Reinforcement Learning-Based Handover Scheme with Neighbor Beacon Frame Transmission.
Mobility support to change the connection from one access point (AP) to the next (ie,
handover) becomes one of the important issues in IEEE 802.11 wireless local area networks …
handover) becomes one of the important issues in IEEE 802.11 wireless local area networks …
[PDF][PDF] SWITCH: SDN-WLAN Integrated Handover Scheme for QoS-Guaranteed Mobile Service.
The handover procedure of IEEE 802.11 wireless local area networks (WLANs) introduces
significant delay, which can degrade the quality of service (QoS) especially for delay …
significant delay, which can degrade the quality of service (QoS) especially for delay …
Enhancing IEEE 802.11 Standard with Deep Reinforcement Learning for Optimal Channel Access
SCDSJ Cruz, FAP de Figueiredo… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
According to IEEE 802.11 standard, the collision avoidance mechanism is not the most
efficient as it relies on a binary exponential backoff (BEB) algorithm. This algorithm …
efficient as it relies on a binary exponential backoff (BEB) algorithm. This algorithm …