{"@type": "dcat:Dataset", "accessLevel": "public", "bureauCode": ["006:55"], "contactPoint": {"fn": "Sneihil Gopal", "hasEmail": "mailto:sneihil.gopal@nist.gov"}, "description": "The dataset corresponds to the findings detailed in the paper titled \"AdapShare: An RL-Based Dynamic Spectrum Sharing Solution for O-RAN\" to be included in the proceedings of the 2025 IEEE Consumer Communications & Networking Conference (CCNC).", "distribution": [{"description": "Data and code used to process it", "downloadURL": "https://data.nist.gov/od/ds/mds2-3613/AdapShare%20Data%20and%20Code.zip", "mediaType": "application/zip", "title": "AdapShare Data and Code"}], "identifier": "ark:/88434/mds2-3613", "issued": "2024-11-05", "keyword": ["O-RAN", "Dynamic Spectrum Sharing (DSS)", "Reinforcement Learning (RL)", "LTE", "NR."], "landingPage": "https://data.nist.gov/od/id/mds2-3613", "language": ["en"], "license": "https://www.nist.gov/open/license", "modified": "2024-10-23 00:00:00", "programCode": ["006:045"], "publisher": {"@type": "org:Organization", "name": "National Institute of Standards and Technology"}, "theme": ["Advanced Communications:Wireless (RF)", "Mathematics and Statistics:Modeling and simulation research"], "title": "AdapShare: An RL-Based Dynamic Spectrum Sharing Solution for O-RAN"}