Title | ||
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Learning-Based Joint Resource Slicing and Scheduling in Space-Terrestrial Integrated Vehicular Networks |
Abstract | ||
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In this paper, we investigate the resource slicing and scheduling problem in the space-terrestrial integrated vehicular networks to support both delay-sensitive services (DSSs) and delay-tolerant services (DTSs). Resource slicing and scheduling are to allocate spectrum resources to different slices and determine user association and bandwidth allocation for individual vehicles. To accommodate the ... |
Year | DOI | Venue |
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2021 | 10.23919/JCIN.2021.9549118 | Journal of Communications and Information Networks |
Keywords | DocType | Volume |
space-terrestrial integrated vehicular networks,LEO satellite communication,resource slicing and scheduling,reinforcement learning,matching-based optimization | Journal | 6 |
Issue | ISSN | Citations |
3 | 2096-1081 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Huaqing Wu | 1 | 105 | 12.71 |
Jiayin Chen | 2 | 0 | 0.34 |
Conghao Zhou | 3 | 15 | 3.67 |
Junling Li | 4 | 87 | 8.60 |
Xuemin Shen | 5 | 15389 | 928.67 |