Traffic Demand Matching-based Dynamic Resource Allocation Algorithm for Multi-Beam Satellite Systems
Multi-beam satellite communication systems have received a lot of attentions due to their high throughout and resources utilization. In this paper, we study the problem of user grouping and resource allocation in multi-beam satellite communication systems, and propose a two-stage resource management...
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| Vydáno v: | IEEE Vehicular Technology Conference s. 1 - 5 |
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| Hlavní autoři: | , , |
| Médium: | Konferenční příspěvek |
| Jazyk: | angličtina |
| Vydáno: |
IEEE
10.10.2023
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| Témata: | |
| ISSN: | 2577-2465 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | Multi-beam satellite communication systems have received a lot of attentions due to their high throughout and resources utilization. In this paper, we study the problem of user grouping and resource allocation in multi-beam satellite communication systems, and propose a two-stage resource management scheme. Addressing dynamic and diverse user service requirements, we first propose a Voronoi diagram-based iterative user grouping algorithm to achieve load balancing among groups. Then, we formulate the subchannel and power allocation problem as a system average utility function maximization problem. To solve the problem, we regard each beam as an agent, and propose a multi-agent deep Q-network (DQN)-based algorithm. Simulation results demonstrate the effectiveness and superiority of the proposed algorithms. |
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| ISSN: | 2577-2465 |
| DOI: | 10.1109/VTC2023-Fall60731.2023.10333350 |