Access point selection in beyond 5G hybrid MmWave/Wi-Fi/Li-Fi network

AM Nor - Physical Communication, 2021 - Elsevier
Abstract 5G and beyond networks are key technologies for realizing high data rate
applications such as 4K video streaming and virtual reality. To enable these networks, high …

Reinforcement learning-based Wi-Fi contention window optimization

SJ Sheila de Cássia, MA Ouameur… - Journal of …, 2023 - jcis.emnuvens.com.br
The collision avoidance mechanism adopted by the IEEE 802.11 standard is not optimal.
The mechanism employs a binary exponential backoff (BEB) algorithm in the medium …

[HTML][HTML] Design and implementation of a wireless medical robot for communication within hazardous environments

N Maher, GA Elsheikh, AN Ouda, WR Anis… - Wireless Personal …, 2022 - Springer
The huge spreading of COVID-19 viral outbreak to several countries motivates many of the
research institutions everywhere in numerous disciplines to try decreasing the spread rate of …

Reinforcement Learning-based Wi-Fi Contention Window Optimization

SCS Cruz, MA Ouameur, FAP de Figueiredo - 2022 - preprints.org
The collision avoidance mechanism adopted by the IEEE 802.11 standard is not optimal.
The mechanism employs a binary exponential backoff (BEB) algorithm in the medium …

Dedicated Restricted Target Wake Time for Real-Time Applications in Wi-Fi 7

A Belogaev, X Shen, C Pan, X Jiang, C Blondia… - arXiv preprint arXiv …, 2024 - arxiv.org
Real-time applications (RTA) tend to play a crucial role in people's everyday life. Such
applications are among the key use cases for the next generations of wireless technologies …

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 …

Coorp: Satisfying Low-Latency and High-Throughput Requirements of Wireless Network for Coordinated Robotic Learning

S Deng, X Guan, Z Sun, S Zhao, T Shen… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
In coordinated robotic learning, multiple robots share the same wireless channel for
communication, and bring together latency-sensitive (LS) network flows for control and …

A Dynamic TDMA Scheduling Based Clustering Algorithm for MANETs

J Hu, Q Liu, L Li, Q Wu, Z Wu - 2023 5th International …, 2023 - ieeexplore.ieee.org
With the popularity of wireless devices such as laptops, wireless LAN devices, and wireless
sensors, Mobile Ad hoc Networks (MANETs) have attracted increasing attention and …

[PDF][PDF] Analyzing and Enabling the Harmonious Coexistence of Heterogeneous Industrial Wireless Networks

B Khan, D Shehzad, N Shafi, GY Kim… - CMC-COMPUTERS …, 2022 - researchgate.net
Nowadays multiple wireless communication systems operate in industrial environments side
by side. In such an environment performance of one wireless network can be degraded by …

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 …