Deep Reinforcement Learning perspectives on improving reliable transmissions in IoT networks: Problem formulation, parameter choices, challenges, and future …
The majority of communication protocols used in IoT networks for caching and congestion
control techniques were rule-based which implies that these protocols are dependent on …
control techniques were rule-based which implies that these protocols are dependent on …
Qoe-driven data communication framework for consumer electronics in tele-healthcare system
The COVID-19 pandemic has elicited interest in the development of novel, low-cost
solutions for tele-healthcare that patients can use to consult with doctors using consumer …
solutions for tele-healthcare that patients can use to consult with doctors using consumer …
[HTML][HTML] Intelligent multi-path TCP congestion control for video streaming in internet of deep space things communication
The vision of space exploration includes missions to deep space that produce significant
amounts of video data and require reliable video streaming back to the Earth. The Internet of …
amounts of video data and require reliable video streaming back to the Earth. The Internet of …
Achieving flexible and lightweight multipath congestion control through online learning
The upgrade of network devices to be equipped with multiple network interfaces makes it
possible to improve network throughput performance through multipath transmission …
possible to improve network throughput performance through multipath transmission …
MARS: an adaptive multi-agent DRL-based scheduler for multipath QUIC in dynamic networks
The multipath extension of the Quick UDP Internet Connection (QUIC) protocol, also called
MPQUIC, is currently attracting increasing attention from both industry and academia. The …
MPQUIC, is currently attracting increasing attention from both industry and academia. The …
Learning-based real-time transmission control for multi-path TCP networks
The evolution of the Internet of Things and 5G/6G networks is ushered in the exponential
proliferation of mobile devices with multiple wireless interfaces. Multi-Path TCP (MPTCP) is …
proliferation of mobile devices with multiple wireless interfaces. Multi-Path TCP (MPTCP) is …
A Survey on Congestion Control and Scheduling for Multipath TCP: Machine Learning vs Classical Approaches
Multipath TCP (MPTCP) has been widely used as an efficient way for communication in
many applications. Data centers, smartphones, and network operators use MPTCP to …
many applications. Data centers, smartphones, and network operators use MPTCP to …
Multi-Agent DRL-based Multipath Scheduling for Video Streaming with QUIC
X Han, B Han, J Li, C Song - ACM Transactions on Multimedia …, 2024 - dl.acm.org
The popularization of video streaming brings challenges in satisfying diverse Quality of
Service (QoS) requirements. The multipath extension of the Quick UDP Internet Connection …
Service (QoS) requirements. The multipath extension of the Quick UDP Internet Connection …
An Adaptive Congestion Control Protocol for Wireless Networks Using Deep Reinforcement Learning
KS Midhula - IEEE Transactions on Network and Service …, 2023 - ieeexplore.ieee.org
Congestion is more prevalent in wireless networks due to the unique challenges and
limitations of the present wireless technology. With the increasing demand for high …
limitations of the present wireless technology. With the increasing demand for high …
RAN information-assisted TCP congestion control using deep reinforcement learning with reward redistribution
M Chen, R Li, J Crowcroft, J Wu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this paper, we aim to propose a novel transmission control protocol (TCP) congestion
control method from a cross-layer-based perspective and present a deep reinforcement …
control method from a cross-layer-based perspective and present a deep reinforcement …