OSCAR: A Contention Window Optimization Approach Using Deep Reinforcement Learning
C Grasso, R Raftopoulos… - ICC 2023-IEEE …, 2023 - ieeexplore.ieee.org
The contention window (CW) has a significant impact on the efficiency of Wi-Fi networks.
Unfortunately, the basic access method employed by 802.11 networks does not scale well …
Unfortunately, the basic access method employed by 802.11 networks does not scale well …
Multi-Armed Bandit for Contention Window Optimization
R Raftopoulos, G Schembra - European Wireless 2023; 28th …, 2023 - ieeexplore.ieee.org
Future networks will require to support a tremendous number of communicating devices.
Unfortunately, the basic access method employed by IEEE 802.11 networks does not scale …
Unfortunately, the basic access method employed by IEEE 802.11 networks does not scale …
DDPG-based Multi-AP Cooperative Access Control in Dense Wi-Fi Networks
H Zhang, R He, X Fang, L Zhou - 2023 IEEE 98th Vehicular …, 2023 - ieeexplore.ieee.org
Multi-Access Point (AP) cooperation is one of the potential core technologies in the future Wi-
Fi 8 standard. By sharing information among multiple APs, it can improve spectrum efficiency …
Fi 8 standard. By sharing information among multiple APs, it can improve spectrum efficiency …
Aprendizaje profundo por refuerzo aplicado al control de acceso en redes IEEE 802.11.
F Frommel Araújo - 2022 - lareferencia.info
En estos últimos tiempos, las tecnologías de la información y la comunicación, apalancadas
por la masificación en el acceso a internet, han modificado el comercio, la educación, el …
por la masificación en el acceso a internet, han modificado el comercio, la educación, el …
Resource allocation in OFDMA networks with deep reinforcement learning
J Liu, X Ma, W Han, L Wang - 2020 IEEE 8th International …, 2020 - ieeexplore.ieee.org
In a distributed OFDMA network, wireless channel is divided into multiple time-frequency
resource block for transmission. Because there is no information interaction between nodes …
resource block for transmission. Because there is no information interaction between nodes …
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 …
[PDF][PDF] 無線區域網路下透過深度強化學習提升吞吐量及降低碰撞率之研究
L Astuti - researchgate.net
摘要競爭視窗(Contention Window, CW) 參數的優化對於Wi-Fi 網路的傳輸效能有很大的影響.
無線網路所採用的傳統方法並沒有足夠的可擴展性讓過多的節點能夠維持一致的性能 …
無線網路所採用的傳統方法並沒有足夠的可擴展性讓過多的節點能夠維持一致的性能 …
Learning Fair and Efficient Multiple Access Schemes with Decomposed MADDPG
Z Liu, H Lin, X Wang, J Gong… - … Conference on Future …, 2023 - ieeexplore.ieee.org
With the growing demand for wireless communication networks, achieving efficient and
equitable channel access schemes has become paramount. In this paper, we delve into the …
equitable channel access schemes has become paramount. In this paper, we delve into the …
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 …
Mean-field MARL-based Priority-Aware CSMA/CA Strategy in Large-Scale MANETs
H Wei, C Wang, R Li, M Zhao - GLOBECOM 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
Mobile ad-hoc network (MANET) has attracted ex-tensive attention in many applications with
nodes operating over bandwidth-constrained wireless links in a self-organized manner …
nodes operating over bandwidth-constrained wireless links in a self-organized manner …