Deep reinforcement learning techniques for vehicular networks: Recent advances and future trends towards 6G
Employing machine learning into 6G vehicular networks to support vehicular application
services is being widely studied and a hot topic for the latest research works in the literature …
services is being widely studied and a hot topic for the latest research works in the literature …
On quality-of-service provisioning in IEEE 802.11 ax WLANs
A revolutionary effort to seek fundamental improvement of 802.11, known as IEEE 802.11
ax, has been approved to deliver the next-generation wireless local area network (WLAN) …
ax, has been approved to deliver the next-generation wireless local area network (WLAN) …
Intelligent beaconless geographical forwarding for urban vehicular environments
Abstract A Vehicular Ad hoc Network is a type of wireless ad hoc network that facilitates
ubiquitous connectivity between vehicles in the absence of fixed infrastructure. Source …
ubiquitous connectivity between vehicles in the absence of fixed infrastructure. Source …
[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 …
Weighted link quality and forward progress coupled with modified RTS/CTS for beaconless packet forwarding protocol (B-PFP) in VANETs
Vehicular ad hoc networks are considered as a promising wireless communication area to
provide safety and comfort on the roads. Due to high mobility and dynamic topologies, the …
provide safety and comfort on the roads. Due to high mobility and dynamic topologies, the …
Adaptive backoff algorithm for contention window for dense IEEE 802.11 WLANs
The performance improvement in IEEE 802.11 WLANs in widely fluctuating network loads is
a challenging task. To improve the performance in this saturated state, we develop an …
a challenging task. To improve the performance in this saturated state, we develop an …
Adopting IEEE 802.11 MAC for industrial delay-sensitive wireless control and monitoring applications: A survey
Y Cheng, D Yang, H Zhou, H Wang - Computer Networks, 2019 - Elsevier
In recent years, wireless communication has been widely adopted in the field of industrial
systems. Compared with traditional wired control and monitoring systems, wireless control …
systems. Compared with traditional wired control and monitoring systems, wireless control …
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 …
An Improved CSMA/CA Protocol Anti-Jamming Method Based on Reinforcement Learning
Z Ming, X Liu, X Yang, M Wang - Electronics, 2023 - mdpi.com
The CSMA/CA algorithm uses the binary backoff mechanism to solve the multi-user channel
access problem, but this mechanism is vulnerable to jamming attacks. Existing research …
access problem, but this mechanism is vulnerable to jamming attacks. Existing research …
High‐capacity soliton transmission for indoor and outdoor communications using integrated ring resonators
IS Amiri, SE Alavi, J Ali - International Journal of …, 2015 - Wiley Online Library
SUMMARY A system consisting of a series of microring resonators, incorporating an
add/drop system, is presented in order to create ultra‐short spatial and temporal single and …
add/drop system, is presented in order to create ultra‐short spatial and temporal single and …