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| Hauptverfasser: | , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| Schlagworte: | |
| Online-Zugang: | https://arxiv.org/abs/2502.11938 |
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| _version_ | 1866916644099457024 |
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| author | Durst, Sebastian Barth, Kilian Müller, Tobias Marquardt, Pascal |
| author_facet | Durst, Sebastian Barth, Kilian Müller, Tobias Marquardt, Pascal |
| contents | Modern AESA technology enables RF systems to not only perform various radar, communication and electronic warfare tasks on a single aperture, but even to execute multiple tasks concurrently. These capabilities increase system complexity and require intelligent or cognitive resource management. This paper introduces such a resource management framework based on quality of service based resource allocation and Monte Carlo tree search allowing for optimal system usage and profound decision-making. Furthermore, we present experimental verification in a complex application scenario. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_11938 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | QoS based resource management for concurrent operation using MCTS Durst, Sebastian Barth, Kilian Müller, Tobias Marquardt, Pascal Signal Processing Systems and Control Modern AESA technology enables RF systems to not only perform various radar, communication and electronic warfare tasks on a single aperture, but even to execute multiple tasks concurrently. These capabilities increase system complexity and require intelligent or cognitive resource management. This paper introduces such a resource management framework based on quality of service based resource allocation and Monte Carlo tree search allowing for optimal system usage and profound decision-making. Furthermore, we present experimental verification in a complex application scenario. |
| title | QoS based resource management for concurrent operation using MCTS |
| topic | Signal Processing Systems and Control |
| url | https://arxiv.org/abs/2502.11938 |