Machine learning proof-of-concept for Opportunistic Spectrum Access

Christophe Moy (1) , Rodolphe Legouable (2)

1 IETR - Institut d'Électronique et des Technologies du numéRique
2 FT R&D - France Télécom Recherche & Développement

The set of 5G requirements show that future radio systems should answer to network capabilities in terms of : capacity, spectrum for future evolutions, fixed-mobile convergence, integration of 3GPP and and robustness, cost efficiency, etc. In parallel, new user experiences area, from static to high-speed-throughput per user/ application, E2E to the need of new enablers for business as: Internet of Things (IoT), V2V communications. This ecosystem points out that Opportunistic Spectrum 5G network optimization.

Domains: Engineering Sciences [physics]; Electronics

Christophe Moy, Rodolphe Legouable. Machine learning proof-of-concept for Opportunistic Spectrum Access. 2014. ⟨hal-01115860⟩