# Multi-Agent Deep Reinforcement Learning-Based Flexible Satellite Payload for Mobile Terminals

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/multi-agent-deep-reinforcement-learning-based-flexible-satellite-payload-for/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Xin Hu,Xianglai Liao,Zhijun Liu,Shuaijun Liu,Xin Ding,Mohamed Helaoui,Weidong Wang,Fadhel M. Ghannouchi |
| Citations | 76 |
| DOI | 10.1109/tvt.2020.3002983 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3036509096 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Xin Ding](https://scholariq.org/researchers/xin-ding/)

## Paper primary topic

- [Satellite Communication Systems](https://scholariq.org/topics/satellite-communication-systems/)

## Paper topics

- [Satellite Communication Systems](https://scholariq.org/topics/satellite-communication-systems/)
- [Age of Information Optimization](https://scholariq.org/topics/age-of-information-optimization/)
- [Optimization and Search Problems](https://scholariq.org/topics/optimization-and-search-problems/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.