RAN Information-Assisted TCP Congestion Control Using Deep Reinforcement Learning With Reward Redistribution

IEEE Transactions on Communications(2022)

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摘要
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 learning (DRL)-driven method called DRL-3R (DRL for congestion control with Radio access network information and Reward Redistribution) so as to learn the TCP congestion control policy in a superior manner. In particular, we in...
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关键词
Reinforcement learning,Servers,Internet,Throughput,Radio access networks,Bandwidth,5G mobile communication
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