QoS-oriented media access control using reinforcement learning for next-generation WLANs

J Lei, L Li, Y Wang - Computer Networks, 2022 - Elsevier
Orthogonal frequency division multiple access (OFDMA) is introduced in IEEE 802.11 ax to
satisfy massive transmission demands. However, the uplink OFDMA-based random access …

Long-/short-term reinforcement learning for multi-aps channel allocation in IEEE 802.11 ax WLANs

SH Chung, LH Shen, KT Feng - 2023 IEEE Wireless …, 2023 - ieeexplore.ieee.org
IEEE 802.11 ax system has been adopted to provide enhanced throughput performance for
next-generation wireless local area networks. Its orthogonal frequency division multiple …

Lyapunov optimization-based latency-bounded allocation using deep deterministic policy gradient for 11ax spatial reuse

S Kotera, B Yin, K Yamamoto, T Nishio - IEEE Access, 2021 - ieeexplore.ieee.org
With the growing demand for wireless local area network (WLAN) applications that require
low latency, orthogonal frequency-division multiple access (OFDMA) has been adopted for …

[HTML][HTML] Cfx: contention-free channel access for IEEE 802.11 ax

K Lee, D Kim - Sensors, 2022 - mdpi.com
Orthogonal frequency-division multiple access (OFDMA) has attracted great attention as a
key technology for uplink enhancement for Wi-Fi, since it can effectively reduce network …

Distributed convolutional deep reinforcement learning based OFDMA MAC for 802.11 ax

D Kotagiri, K Nihei, T Li - ICC 2021-IEEE International …, 2021 - ieeexplore.ieee.org
The IEEE 802.11 ax also known as Wi-Fi 6, incorporates multi-user (MU) Orthogonal
Frequency Division Multiple Access (OFDMA) based distributed up-link communication, in …

Performance optimization of QoS-supported dense WLANs using machine-learning-enabled enhanced distributed channel access (MEDCA) mechanism

R Ali, A Nauman, YB Zikria, BS Kim, SW Kim - Neural Computing and …, 2020 - Springer
Quality of service (QoS) implementation in a wireless local area network (WLAN) enables
the prediction of network performance and utilization of effective bandwidth for multimedia …

Deep Reinforcement Learning for Optimizing Restricted Access Window in IEEE 802.11 ah MAC Layer

X Jiang, S Gong, C Deng, L Li, B Gu - Sensors, 2024 - mdpi.com
The IEEE 802.11 ah standard is introduced to address the growing scale of internet of things
(IoT) applications. To reduce contention and enhance energy efficiency in the system, the …

Hybrid services qos enhancement by joint traffic and access management in unsaturated IEEE 802.11 ax network

J Bai, X Wang, J Mei, Y Xin… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the ubiquitous proliferation of Internet of Thing (IoT) devices, Access Points (APs) of
future Wi-Fi networks are expected to support more Stations (STAs) with increased traffic …

Learning based adaptive fair QoS in IEEE 802.11 ac access networks

R Karmakar, S Chattopadhyay… - … Systems & Networks …, 2019 - ieeexplore.ieee.org
IEEE 802.11 ac for high throughput wireless access supports the use of wide channel
bandwidth for improving the capacity of data transmission. To properly balance the needs of …

Sequential state q-learning uplink resource allocation in multi-ap 802.11 be network

Y Liu, Y Yu, Z Du, L Cuthbert - 2022 IEEE 96th Vehicular …, 2022 - ieeexplore.ieee.org
Expected high demand of user applications in the WLAN is a driver for WLANs to share
radio resources more efficiently. The move to 802.11 be with OFDMA and MU-MIMO makes …