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Architecture of emergency communication systems in disasters through UAVs in 5G and beyond
AFMS Shah - Drones, 2022 - mdpi.com
Unmanned aerial vehicles (UAVs) are valued in 5G and 6G networks due to their
communication capabilities, low cost, and flexible deployment. Recently, UAV-aided …
communication capabilities, low cost, and flexible deployment. Recently, UAV-aided …
Adaptive contention window design using deep Q-learning
We study the problem of adaptive contention window (CW) design for random-access
wireless networks. More precisely, our goal is to design an intelligent node that can …
wireless networks. More precisely, our goal is to design an intelligent node that can …
Performance improvement of QoS-enabled WLANs using adaptive contention window backoff algorithm
Quality of service (QoS) is one of the critical aspects for real-time applications in wireless
local area networks (WLANs). To provide QoS, WLANs use the enhanced distributed …
local area networks (WLANs). To provide QoS, WLANs use the enhanced distributed …
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 …
[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 …
A load-adaptive fair access protocol for MAC in underwater acoustic sensor networks
To address time unfairness access problems in the dynamic channel, an underwater
adaptive contention window (CW) adjustment backoff algorithm (QL-UACW) based on Q …
adaptive contention window (CW) adjustment backoff algorithm (QL-UACW) based on Q …
Adaptive varying contention window mac protocol based on underwater acoustic propagation delay
Y Guo, MS Obaidat, J Guo, TY Wu… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Underwater acoustic wave propagation time delay and fluctuations are much greater than
radio waves. However, many of the protocols used for underwater acoustic networking and …
radio waves. However, many of the protocols used for underwater acoustic networking and …
Offloading and transmission strategies for IoT edge devices and networks
J Kang, DS Eom - Sensors, 2019 - mdpi.com
We present a machine and deep learning method to offload trained deep learning model
and transmit packets efficiently on resource-constrained internet of things (IoT) edge devices …
and transmit packets efficiently on resource-constrained internet of things (IoT) edge devices …
Optimization of contention window and relay selection for efficient routing using fuzzy logic model
The rapid increase in vehicle density on roads owing to urbanization and motorization has
led to increased risks of roadblocks, traffic jams, and accidents. To ensure the reliability of …
led to increased risks of roadblocks, traffic jams, and accidents. To ensure the reliability of …
Intelligent-CW: AI-based framework for controlling contention window in WLANs
AHY Abyaneh, M Hirzallah… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
The heterogeneity of technologies that operate over the unlicensed 5 GHz spectrum, such
as LTE-Licensed-AssistedAccess (LAA), 5G New Radio Unlicensed (NR-U), and WiFi, calls …
as LTE-Licensed-AssistedAccess (LAA), 5G New Radio Unlicensed (NR-U), and WiFi, calls …