This paper deals with the problem of data-enhanced gateway switching technique in high throughput satellite systems. Feeder links deployed in high frequency bands (i.e. Ka band or higher) suffer from substantial link quality degradation due to atmospheric events, specially rain. In order to solve this problem, operators deploy redundant gateways in different locations with the aim of configuring the best set of gateways in case of strong fading event occur in any of the teleport locations. In an operational environment, this switch is neither seamless nor instantaneous and non-negligible time-to-switch and switching times appear. As a result, the switching process requires to be pre-emptive and anticipate those fading events. With external prediction meteorological data, we build a data-based model able to predict a gateway outage and, therefore, when the switch shall be implemented. The mathematical model boils down to be a non-linear online regression problem. Numerical results show the performance of the system with real operational data.
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