Shear wave velocity estimation based on deep-q network
X Zhu, H Dong - Applied Sciences, 2022 - mdpi.com
Geoacoustic inversion is important for seabed geotechnical applications. It can be
formulated as a problem that seeks an optimal solution in a high-dimensional parameter …
formulated as a problem that seeks an optimal solution in a high-dimensional parameter …
Access Optimization in 802.11 ax WLAN for Load Balancing and Competition Avoidance of IPTV Traffic
S Shao, L Zhang, F Qi - IEEE Transactions on Broadcasting, 2024 - ieeexplore.ieee.org
With the improvement of terminal intelligence and the enrichment of digital content, terminal
density is showing an explosive growth trend, and the traffic carried by IPTV and other …
density is showing an explosive growth trend, and the traffic carried by IPTV and other …
Dynamic adaptation of contention window boundaries using deep Q networks in UAV swarms
N Subash, B Nithya - International Journal of Computers and …, 2024 - Taylor & Francis
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 …
An Adaptive Contention Window using Actor-Critic Reinforcement Learning Algorithm for Vehicular Ad-hoc NETworks
P Kumar, L Hota, BP Nayak, A Kumar - Procedia Computer Science, 2024 - Elsevier
The MAC layer IEEE 802.11 p standard's collision avoidance mechanism is sub-optimal due
to the use of a Binary Exponential Backoff (BEB). This technique has an increase in the …
to the use of a Binary Exponential Backoff (BEB). This technique has an increase in the …
High priority space protection (HPP): countdown space-based MAC protocol with enhanced lockdown effect
The countdown mechanism is a powerful concept for creating distributed wireless contention
protocols and is the key component of the standard IEEE 802.11 Distributed Coordination …
protocols and is the key component of the standard IEEE 802.11 Distributed Coordination …
Deep reinforcement learning-based contention window optimization for IEEE 802.11 networks
This study focuses on optimizing the contention window (CW) in IEEE 802.11 networks
using deep reinforcement learning (DRL) to enhance the effectiveness of the contention …
using deep reinforcement learning (DRL) to enhance the effectiveness of the contention …