This work leverages recent advances in machine learning for radio environment monitoring with context awareness, and uses the obtained information for creating radio slices that can optimally coexist with ongoing trac in a given spectrum band. We instantiate radio slices as virtualised radios built on a ZYNQ SDR radio platform. Then, we
describe a proof-of-concept experiment that validates and demonstrates our proposed solution.
The high level architecture of the proposed solution is shown below, within this repository, only the radio virtualization part is hosted.
This functionality is accessible through github repository (https://github.com/orca-project/RS-IMEC)
, however permission is only granted for authorized user, please contact contact email@example.com to access the repository.