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

  1. NG-Spectrum Server

    • Dynamically perform spectrum reservations and provide intermediate reasoning steps within 400 MHz-300 GHz

    • Address long-standing needs of passive users, federal users and existing incumbents

    • Incorporate major outcomes from Thrusts 1 and 3, and work with major players in the field 

  2. Open-source ‘drag & drop’ AI/ML blocks for application synthesis

    • Provide agreed-upon ‘hooks’ that will allow easy ‘drag-and-drop’ AI/ML modules relevant to a variety of active and passive application domains

    • Standardized APIs and general agreement on accessible features to enable integration within open-source frameworks

    • CASPER, Open Air Interface Software Alliance (OSA) and NVIDIA