Gaussian Process Reinforcement Learning for Fast Opportunistic Spectrum Access

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