Machine Learning Approaches for Active Queue Management: A Survey, Taxonomy, and Future Directions
MP Toopchinezhad, M Ahmadi - arXiv preprint arXiv:2410.02563, 2024 - arxiv.org
Active Queue Management (AQM), a network-layer congestion control technique endorsed
by the Internet Engineering Task Force (IETF), encourages routers to discard packets before …
by the Internet Engineering Task Force (IETF), encourages routers to discard packets before …
Toward congestion control in lossy networks via local queue-management policies
PA Forero, P Zhang… - MILCOM 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
Congestion control in intermittently connected lossy networks (ICLNs) is critical to enable
efficient use of network resources, and mitigate congestion-induced packet losses and …
efficient use of network resources, and mitigate congestion-induced packet losses and …
Multi-objective Resource Allocation for 5G Using Hierarchical Reinforcement Learning
5G and beyond networks are expected to satisfy the challenging requirements of a variety of
vertical services and domains. In this paper, we propose a radio access network (RAN) …
vertical services and domains. In this paper, we propose a radio access network (RAN) …
Reinforcement Learning based Scheduling Optimization Mechanism on Switches
X Lu, X Wang, J Jia, X Wang… - 2022 IEEE 28th …, 2023 - ieeexplore.ieee.org
In the data center network, mixed flows which have contradictory service requirements are
transmitted simultaneously. Switches usually aggregate similar flows to the same queue …
transmitted simultaneously. Switches usually aggregate similar flows to the same queue …
Learning Hierarchical Management Policies for Data Queues with Applications to Maritime Networking
PA Forero, D Radosevic, JM McInerney… - OCEANS 2023-MTS …, 2023 - ieeexplore.ieee.org
Congestion control and traffic shaping are critical functions that enable the delivery of quality
of service guarantees to different classes of network traffic. In a maritime networking …
of service guarantees to different classes of network traffic. In a maritime networking …
The investigation and the development of a swarm-enabled distributed sensing (SDS) array using compact UUVs
R Manzano-Roth, K Buchanan, A Lin… - OCEANS 2023 …, 2023 - ieeexplore.ieee.org
The Swarm-enabled Distributed Sensing (SDS) project was funded to provide a feasibility
study to analyze using a swarm as a distributed sensor array to enhance large data …
study to analyze using a swarm as a distributed sensor array to enhance large data …
Evaluation of Reinforcement-Learning Queue Management Algorithm for Undersea Acoustic Networks Using ns-3
P Zhang, PA Forero, D Yap, D Radosevic - … of the 2022 Workshop on ns …, 2022 - dl.acm.org
Addressing quality-of-service (QoS) requirements for software applications in undersea
acoustic networks is challenging. This is in part due to the strong dependency of the …
acoustic networks is challenging. This is in part due to the strong dependency of the …