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Machine learning proof-of-concept for Opportunistic Spectrum Access

Abstract : 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.
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Submitted on : Thursday, February 12, 2015 - 9:19:45 AM
Last modification on : Tuesday, January 11, 2022 - 3:18:01 AM
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  • HAL Id : hal-01115860, version 1


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



Les métriques sont temporairement indisponibles