Gaussian Process Reinforcement Learning for Fast Opportunistic Spectrum Access
IEEE Global Communications Conference, pp. 1-1, 2019.
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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