Title | ||
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Deep Reinforcement Learning for Handover-Aware MPTCP Congestion Control in Space-Ground Integrated Network of Railways |
Abstract | ||
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Space-ground integrated networks (SGINs) have been recently regarded as a promising way to provide resilient, dependable as well as efficient data transmission in the high-speed railway (HSR) scenario. Applying multipath transmission control protocol (MPTCP) to SGIN can realize data transmission simultaneously via terrestrial and satellite networks. However, since the existing congestion control (... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/MWC.001.2100116 | IEEE Wireless Communications |
Keywords | DocType | Volume |
Handover,Rail transportation,Satellites,Long Term Evolution,Protocols,Degradation,IP networks | Journal | 28 |
Issue | ISSN | Citations |
6 | 1536-1284 | 5 |
PageRank | References | Authors |
0.43 | 0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jianpeng Xu | 1 | 20 | 3.62 |
Bo Ai | 2 | 1581 | 185.94 |