… techniques for processing spectrum data without … spectrum data processing, such as a
large dynamic range of signals and the variation of the signal-to-noise ratio across the spectrum. …

… Dynamic spectrum access (DSA) is a mechanism that allows a radio network's operational
spectrum to be dynamically … Spectrum sensing is difficult to implement that the Licensed User’…

… Inferring spectrum states from spectrum sensing data based on our proposed algorithm.
Two PUs are marked by blue stars with yellow solid-line circles indicating their transmission …

… Such approach has already led to the saturation of spectrum … to exploit free frequency spectrum
zones by sensing the elec… frequency band) dynamically, in accordance to sensing results…

… sensing using multiple cognitive radio (CR) sensors. In this paper, we resolve the hidden
terminal problem in spectrum sensing for CRs by a single sensor … dynamically access spectrum …

… a novel DLbased spectrum sensing model that leverages residual learning with integrated
atrous spatial pyramid pooling (ASPP) module to learn the dynamic signal environment by …

… Dynamic spectrum access (DSA) is one of the keywords for modern wireless networks and
… possibility to consider the spectrum occupancy as a dynamic solution, exploiting frequency …

… [12] on compressive spectrum sensing to the spectrum sensing and localization problem. To
… Furthermore, dynamic spectrum sensing algorithm is adopted to update the spectrum usage …

… -class spectrum sensing based on semantic segmentation. Although … segmentation [25], it
presents a few key differences that make our network perform better for spectrum segmentation…

… additional difficulties related to spectrum sensing, such as … conceptual framework for
spectrum sensing. The framework … In our work, the involvement of hybrid ML-based dynamic SS …