Research/ PLANETARY ROBOTICS
Agentic Semantic Control for Autonomous Wireless Space Networks: Extending Space-O-RAN with MCP-Driven Distributed Intelligence
Eduardo Baena, Paolo Testolina, Michele Polese, Sergi Aliaga, Andrew Benincasa, Dimitrios Koutsonikolas, Josep Jornet, Tommaso Melodia
Autonomy, Task Planning & OperationsarXiv: cs.AI · Guidance, Dynamics & ControlarXiv: eess.SY · HRI & TeleoperationarXiv: cs.HC
arXivcs.NI · cs.AI · cs.HC · cs.SY · eess.SYOpenAlexSatellite Communication Systems · Software-Defined Networks and 5G · Space Technology and Applications
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.
Comments: Lunar Surface Innovation Consortium 2025 Spring Meeting, May 20-22