Reinforcement Learning Based Coexistence in Mixed 802.11 ax and Legacy WLANs
F Frommel, G Capdehourat… - 2023 IEEE Wireless …, 2023 - ieeexplore.ieee.org
The new 802.11 amendment, 802.11 ax, represents a significant shift in the WLAN
operation, specially in the MAC layer where the access mechanism is now OFDMA. In …
operation, specially in the MAC layer where the access mechanism is now OFDMA. In …
Machine learning for performance prediction of channel bonding in next-generation IEEE 802.11 WLANs
With the advent of Artificial Intelligence (AI)-empowered communications, industry,
academia, and standardization organizations are progressing on the definition of …
academia, and standardization organizations are progressing on the definition of …
Intelligent channel bonding in 802.11 n WLANs
The IEEE 802.11 n standard defines channel bonding that allows wireless devices to
operate on 40 MHz channels by doubling their bandwidth from standard 20 MHz channels …
operate on 40 MHz channels by doubling their bandwidth from standard 20 MHz channels …
Decentralized Deep Reinforcement Learning Approach for Channel Access Optimization
SC da SJ Cruz, FAP de Figueiredo, RAA de Souza - 2024 - researchsquare.com
Abstract The IEEE 802.11 standard's binary exponential back-off (BEB) algorithm is the
prevailing method for tackling the collision avoidance problem. Under the BEB paradigm …
prevailing method for tackling the collision avoidance problem. Under the BEB paradigm …
Decentralized Deep Reinforcement Learning Approach for Channel Access Optimization
C SCdSJ, FAP de Figueiredo, RAA de Souza - 2024 - europepmc.org
The IEEE 802.11 standard's binary exponential back-off (BEB) algorithm is the prevailing
method for tackling the collision avoidance problem. Under the BEB paradigm, the back-off …
method for tackling the collision avoidance problem. Under the BEB paradigm, the back-off …
Improving IEEE 802.11 ax UORA performance: Comparison of reinforcement learning and heuristic approaches
Machine learning (ML) has gained attention from the network research community because
it can help solve difficult problems and potentially lead to groundbreaking achievements. In …
it can help solve difficult problems and potentially lead to groundbreaking achievements. In …
[图书][B] Modeling, analysis and design of multi-channel bonding for IEEE 802.11 WLANs
S Khairy - 2016 - search.proquest.com
The aim of this dissertation is to study the performance of distributed and opportunistic multi-
channel bonding protocol in IEEE 802.11 ac WLANs, and design channel bonding …
channel bonding protocol in IEEE 802.11 ac WLANs, and design channel bonding …
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 …
Collision-free Operation in High Density WLAN Deployments
L Sanabria-Russo, B Bellalta, N Facchi… - arXiv preprint arXiv …, 2016 - arxiv.org
WiFi's popularity has led to crowded scenarios composed of many Access Points (AP) and
clients, often operating on overlapping channels, producing interference that gravely …
clients, often operating on overlapping channels, producing interference that gravely …
SmartBond: A deep probabilistic machinery for smart channel bonding in IEEE 802.11 ac
R Karmakar, S Chattopadhyay… - IEEE INFOCOM 2020 …, 2020 - ieeexplore.ieee.org
Dynamic bandwidth operation in IEEE 802.11 ac helps wireless access points to tune
channel widths based on carrier sensing and bandwidth requirements of associated …
channel widths based on carrier sensing and bandwidth requirements of associated …