Cooperative communications with relay selection based on deep reinforcement learning in wireless sensor networks
Cooperative communication technology has become a research hotspot in wireless sensor
networks (WSNs) in recent years, and will become one of the key technologies for improving …
networks (WSNs) in recent years, and will become one of the key technologies for improving …
Optimal cooperative relaying and power control for IoUT networks with reinforcement learning
Internet of Underwater Things (IoUT) consists of numerous sensor nodes distributed in an
underwater area for sensing, collecting, processing information, and sending related …
underwater area for sensing, collecting, processing information, and sending related …
Random early detection-quadratic linear: an enhanced active queue management algorithm
This paper identifies the lone linear drop function for computing the dropping probability
between certain queue threshold values as a major weakness for the random early …
between certain queue threshold values as a major weakness for the random early …
Deep reinforcement learning based active queue management for iot networks
M Kim, M Jaseemuddin, A Anpalagan - Journal of Network and Systems …, 2021 - Springer
Abstract Internet of Things (IoT) finds its applications in home, city and industrial settings.
Current network is in transition to adopt fog/edge architecture for providing the capacity for …
Current network is in transition to adopt fog/edge architecture for providing the capacity for …
[PDF][PDF] Quadratic exponential random early detection: a new enhanced random early detection-oriented congestion control algorithm for routers
In today's world, the internet has been described as an advanced technology which drives
speedy development of the society as it supports contemporary communication, information …
speedy development of the society as it supports contemporary communication, information …
On a deep q-network-based approach for active queue management
Reinforcement learning has gone through an enormous evolution in the past ten years. It's
practical applicability has been demonstrated through several use cases in various fields …
practical applicability has been demonstrated through several use cases in various fields …
[HTML][HTML] Supervised learning of neural networks for active queue management in the internet
The paper examines the AQM mechanism based on neural networks. The active queue
management allows packets to be dropped from the router's queue before the buffer is full …
management allows packets to be dropped from the router's queue before the buffer is full …
An adaptive active queue management based on model predictive control
Q Xu, G Ma, K Ding, B Xu - IEEE Access, 2020 - ieeexplore.ieee.org
In recent years, active queue management (AQM) has gained more and more attention as
an important part of network congestion control. Although there are many AQM algorithms …
an important part of network congestion control. Although there are many AQM algorithms …
Cooperative relaying and power control for UAV-assisted vehicular networks with deep Q-network
This paper investigates the usage of unmanned aerial vehicles (UAV s) as relays for data
transmission in vehicular networks. We are motivated to address the challenges induced by …
transmission in vehicular networks. We are motivated to address the challenges induced by …
Coexistence of cellular V2X and Wi-Fi over unlicensed spectrum with reinforcement learning
With the increasing demand of vehicular data transmission, the utilization of cellular
resources in low frequency bands is facing great challenges to meet the growing throughput …
resources in low frequency bands is facing great challenges to meet the growing throughput …