Agentic Semantic Control for Autonomous Wireless Space Networks: Extending Space-O-RAN with MCP-Driven Distributed Intelligence
Fuente:
arXiv
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| Autori principali: | , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
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| _version_ | 1866908406040756224 |
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| author | Baena, Eduardo Testolina, Paolo Polese, Michele Aliaga, Sergi Benincasa, Andrew Koutsonikolas, Dimitrios Jornet, Josep Melodia, Tommaso |
| author_facet | Baena, Eduardo Testolina, Paolo Polese, Michele Aliaga, Sergi Benincasa, Andrew Koutsonikolas, Dimitrios Jornet, Josep Melodia, Tommaso |
| contents | Lunar surface operations impose stringent requirements on wireless communication systems, including autonomy, robustness to disruption, and the ability to adapt to environmental and mission-driven context. While Space-O-RAN provides a distributed orchestration model aligned with 3GPP standards, its decision logic is limited to static policies and lacks semantic integration. We propose a novel extension incorporating a semantic agentic layer enabled by the Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication protocols, allowing context-aware decision making across real-time, near-real-time, and non-real-time control layers. Distributed cognitive agents deployed in rovers, landers, and lunar base stations implement wireless-aware coordination strategies, including delay-adaptive reasoning and bandwidth-aware semantic compression, while interacting with multiple MCP servers to reason over telemetry, locomotion planning, and mission constraints. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_10925 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Agentic Semantic Control for Autonomous Wireless Space Networks: Extending Space-O-RAN with MCP-Driven Distributed Intelligence Baena, Eduardo Testolina, Paolo Polese, Michele Aliaga, Sergi Benincasa, Andrew Koutsonikolas, Dimitrios Jornet, Josep Melodia, Tommaso Networking and Internet Architecture Artificial Intelligence Human-Computer Interaction Systems and Control Lunar surface operations impose stringent requirements on wireless communication systems, including autonomy, robustness to disruption, and the ability to adapt to environmental and mission-driven context. While Space-O-RAN provides a distributed orchestration model aligned with 3GPP standards, its decision logic is limited to static policies and lacks semantic integration. We propose a novel extension incorporating a semantic agentic layer enabled by the Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication protocols, allowing context-aware decision making across real-time, near-real-time, and non-real-time control layers. Distributed cognitive agents deployed in rovers, landers, and lunar base stations implement wireless-aware coordination strategies, including delay-adaptive reasoning and bandwidth-aware semantic compression, while interacting with multiple MCP servers to reason over telemetry, locomotion planning, and mission constraints. |
| title | Agentic Semantic Control for Autonomous Wireless Space Networks: Extending Space-O-RAN with MCP-Driven Distributed Intelligence |
| topic | Networking and Internet Architecture Artificial Intelligence Human-Computer Interaction Systems and Control |
| url | https://arxiv.org/abs/2506.10925 |