Primary User Activity Prediction in DSA Networks using Recurrent Structures
Published: Nov 1, 2019
Abstract
For unlicensed (secondary) users to opportunistically access the shared radio spectrum on a non-interfering basis, it is important that they are able to sense the transmission activities of the licensed (primary) users. However, spectrum sensing expend a considerable amount of energy and time, which can be reduced by reliably predicting the primary user activities. In this paper, we present recurrent neural network models which are able to...
Paper Details
Title
Primary User Activity Prediction in DSA Networks using Recurrent Structures
Published Date
Nov 1, 2019
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