Programming the Spectrum
Leads: K. Chowdhury, S. Shakkottai
Thrust contributors: S. Basagni, J-F. Chamberland, I. Guvenc, S. Ioannidis, P.R. Kumar, T. Melodia, F. Restuccia, Sa. Shakkottai, M. Sichitiu, E. Yeh
Foundations of AI/ML Algorithms: Integrating AI/ML technologies progressively into spectrum sensing/access/protection techniques
Spectrum Information Sharing & Relaying: Theory and processes for spectrum information gathering, storage and usage predication
Softwarization & Platforms: Platform and modules for flexible, open-source end-to-end softwarization to build heterogeneous active and passive applications on experimentation platforms
Three fundamental roadmaps
Expected High-Impact Outcomes
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NG-Spectrum Server
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Dynamically perform spectrum reservations and provide intermediate reasoning steps within 400 MHz-300 GHz
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Address long-standing needs of passive users, federal users and existing incumbents
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Incorporate major outcomes from Thrusts 1 and 3, and work with major players in the field
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Open-source ‘drag & drop’ AI/ML blocks for application synthesis
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Provide agreed-upon ‘hooks’ that will allow easy ‘drag-and-drop’ AI/ML modules relevant to a variety of active and passive application domains
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Standardized APIs and general agreement on accessible features to enable integration within open-source frameworks
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CASPER, Open Air Interface Software Alliance (OSA) and NVIDIA
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