Towards AI-enabled traffic management in multipath TCP: A survey

SJ Siddiqi, F Naeem, S Khan, KS Khan… - Computer Communications, 2022 - Elsevier
Numerous applications on the web use transmission control protocol (TCP) as a transport
protocol to ensure efficient and fair sharing of network resources among users. With the …

Improving TCP congestion control with machine intelligence

Y Kong, H Zang, X Ma - Proceedings of the 2018 Workshop on Network …, 2018 - dl.acm.org
In a TCP/IP network, a key to ensure efficient and fair sharing of network resources among
its users is the TCP congestion control (CC) scheme. Previously, the design of TCP CC …

Experience-driven congestion control: When multi-path TCP meets deep reinforcement learning

Z Xu, J Tang, C Yin, Y Wang… - IEEE Journal on Selected …, 2019 - ieeexplore.ieee.org
In this paper, we aim to study networking problems from a whole new perspective by
leveraging emerging deep learning, to develop an experience-driven approach, which …

Learning-based Real-Time Transmission Control for Multi-Path TCP Networks

B He, J Wang, Q Qi, H Sun, J Liao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

DeepCC: Multi-agent deep reinforcement learning congestion control for multi-path TCP based on self-attention

B He, J Wang, Q Qi, H Sun, J Liao, C Du… - … on Network and …, 2021 - ieeexplore.ieee.org
With the development of the Internet of Things (IoT) and 5G, there are ubiquitous smart
devices and network functions providing emerging network services efficiently and optimally …

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 …

TCP-Drinc: Smart congestion control based on deep reinforcement learning

K Xiao, S Mao, JK Tugnait - IEEE Access, 2019 - ieeexplore.ieee.org
As wired/wireless networks become more and more complex, the fundamental assumptions
made by many existing TCP variants may not hold true anymore. In this paper, we develop a …

Dynamic TCP initial windows and congestion control schemes through reinforcement learning

X Nie, Y Zhao, Z Li, G Chen, K Sui… - IEEE Journal on …, 2019 - ieeexplore.ieee.org
Despite many years of improvements to it, TCP still suffers from an unsatisfactory
performance. For services dominated by short flows (eg, web search and e-commerce), TCP …

Learning to harness bandwidth with multipath congestion control and scheduling

SR Pokhrel, A Walid - IEEE Transactions on Mobile Computing, 2021 - ieeexplore.ieee.org
Multipath TCP (MPTCP) has emerged as a facilitator for harnessing and pooling available
bandwidth in wireless/wireline communication networks and in data centers. Existing …

Glider: rethinking congestion control with deep reinforcement learning

Z Xia, L Wu, F Wang, X Liao, H Hu, J Wu, D Wu - World Wide Web, 2023 - Springer
Traditional congestion control protocols may fail to achieve consistently-high performance
over a wide range of networking environments as their hardwired policies are optimized …