Contention window optimization in IEEE 802.11 ax networks with deep reinforcement learning
W Wydmański, S Szott - 2021 IEEE wireless communications …, 2021 - ieeexplore.ieee.org
The proper setting of contention window (CW) values has a significant impact on the
efficiency of Wi-Fi networks. Unfortunately, the standard method used by 802.11 networks is …
efficiency of Wi-Fi networks. Unfortunately, the standard method used by 802.11 networks is …
An energy-efficient channel access with target wake time scheduling for overlapping 802.11 ax basic service sets
Q Chen - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Higher requirements in wireless Internet access have led to a dense deployment of Wi-Fi
networks, which results in severe collisions and deteriorated throughput. In this article, we …
networks, which results in severe collisions and deteriorated throughput. In this article, we …
[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 …
Optimizing vehicular safety message communications by adopting transmission probability with CW size
Vehicular ad hoc networks (VANETs) will have noteworthy breakthroughs with the upcoming
5G and 6G technologies. In VANETs, the performance changes with traffic, contention …
5G and 6G technologies. In VANETs, the performance changes with traffic, contention …
Intelligent-CW: AI-based framework for controlling contention window in WLANs
AHY Abyaneh, M Hirzallah… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
The heterogeneity of technologies that operate over the unlicensed 5 GHz spectrum, such
as LTE-Licensed-AssistedAccess (LAA), 5G New Radio Unlicensed (NR-U), and WiFi, calls …
as LTE-Licensed-AssistedAccess (LAA), 5G New Radio Unlicensed (NR-U), and WiFi, calls …
Applying deep reinforcement learning to improve throughput and reduce collision rate in IEEE 802.11 networks
Abstract The effectiveness of Wi-Fi networks is greatly influenced by the optimization of
contention window (CW) parameters. Unfortunately, the conventional approach employed …
contention window (CW) parameters. Unfortunately, the conventional approach employed …
A differentiated reservation MAC protocol for achieving fairness and efficiency in multi-rate IEEE 802.11 WLANs
J Lei, J Tao, J Huang, Y Xia - IEEE Access, 2019 - ieeexplore.ieee.org
This paper focuses on designing a medium access control and channel usage algorithm in
multi-rate wireless local area networks for improving the efficiency and fairly sharing channel …
multi-rate wireless local area networks for improving the efficiency and fairly sharing channel …
Retransmission number aware channel access scheme for IEEE 802.11 ax based WLAN
Y Zheng, J Wang, Q Chen, Y Zhu - Chinese Journal of …, 2020 - Wiley Online Library
The IEEE 802.11 ax amendment for the next generation of Wireless local area network
(WLAN) provides the Orthogonal frequency division multiple access (OFDMA) mechanism …
(WLAN) provides the Orthogonal frequency division multiple access (OFDMA) mechanism …
Enhanced collision resolution and throughput analysis for the 802.11 distributed coordination function
The IEEE 802 standards rely on the distributed coordination function (DCF) as the
fundamental medium access control method. DCF uses the binary exponential backoff …
fundamental medium access control method. DCF uses the binary exponential backoff …
Stochastic Model-Based Deep Learning for Constrained Optimization of IEEE 802.11 Vehicular Communication Systems
IEEE 802.11 communication systems have been extensively investigated for improving
vehicular road safety. However, dynamic vehicular environments and various safety …
vehicular road safety. However, dynamic vehicular environments and various safety …