Gaussian Process Reinforcement Learning for Fast Opportunistic Spectrum Access

IEEE Global Communications Conference, pp. 1-1, 2019.

Cited by: 0|Bibtex|Views43|DOI:https://doi.org/10.1109/tsp.2020.2986354
Other Links: academic.microsoft.com

Abstract:

Opportunistic spectrum access (OSA) is envisioned to support the spectrum demand of future-generation wireless networks. In practice, primary channels are usually correlated and network dynamics is unknown alpha-priori. This entails a great challenge on sensing policy design, and conventional model-based methods are generally inapplicable...More

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