An Application of Explainable Multi-Agent Reinforcement Learning for Spectrum Situational Awareness

dc.contributor.authorPerini, Dominick J.en
dc.contributor.authorMuller, Braeden P.en
dc.contributor.authorKopacz, Justinen
dc.contributor.authorMichaels, Alan J.en
dc.date.accessioned2025-04-28T17:18:05Zen
dc.date.available2025-04-28T17:18:05Zen
dc.date.issued2025-04-10en
dc.date.updated2025-04-25T13:46:31Zen
dc.description.abstractAllocating low-bandwidth radios to observe a wide portion of a spectrum is a key class of search-optimization problems that requires system designers to leverage limited resources and information efficiently. This work describes a multi-agent reinforcement learning system that achieves a balance between tuning radios to newly observed energy while maintaining regular sweep intervals to yield detailed captures of both short- and long-duration signals. This algorithm, which we have named SmartScan, and system implementation have demonstrated live adaptations to dynamic spectrum activity, persistence of desirable sweep intervals, and long-term stability. The SmartScan algorithm was also designed to fit into a real-time system by guaranteeing a constant inference latency. The result is an explainable, customizable, and modular approach to implementing intelligent policies into the scan scheduling of a spectrum monitoring system.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationPerini, D.J.; Muller, B.P.; Kopacz, J.; Michaels, A.J. An Application of Explainable Multi-Agent Reinforcement Learning for Spectrum Situational Awareness. Electronics 2025, 14, 1533.en
dc.identifier.doihttps://doi.org/10.3390/electronics14081533en
dc.identifier.urihttps://hdl.handle.net/10919/126246en
dc.language.isoenen
dc.publisherMDPIen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleAn Application of Explainable Multi-Agent Reinforcement Learning for Spectrum Situational Awarenessen
dc.title.serialElectronicsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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