We propose a new data scheduling algorithm based on reinforcement learning(RL) with the newly introduced Deep Q Network (DQN) framework to enhance the MPTCP ...
So far MPTCP use the RRDS algorithm as the default algorithm for data scheduling which transmit all the data to every path by polling without any consideration.
This work proposes a new data scheduling algorithm based on reinforcement learning(RL) with the newly introduced Deep Q Network (DQN) framework to enhance ...
Packet scheduling in MPTCP determines which path, among available paths with open windows, to send a packet so that the need for packet resequencing at the ...
SmartCC: A Reinforcement Learning Approach for Multipath TCP ...
dl.acm.org › doi › jsac.2019.2933761
In this paper, we propose a learning-based multipath congestion control approach called <italic>SmartCC</italic> to deal with the diversities of multiple ...
The reinforcement learning algorithm gets the information of every path and adaptively choose the most suitable path by the artificial intelligence. The ...
This paper proposes a learning-based multipath congestion control approach called SmartCC, which adopts an asynchronous reinforcement learning framework to ...
Aug 23, 2022 · The multipath scheduler, which determines the path to which each packet should be transmitted, is a key function that affects the multipath ...
The proposed approach works by by controlling the reordering delay at the receiver side, with consideration to packet loss rate and data transmission delay.
In this paper, we propose a new scheduling scheme for MPTCP that performs packet scheduling according to the receiver buffer and network delay. Our scheme ...