Low Earth Orbit satellite Internet has recently been deployed, providing worldwide service
with non-terrestrial networks. With the large-scale deployment of both non-terrestrial and …

Recently, Low Earth Orbit (LEO) satellite Internet has been deployed and provides access
service. In the near future, with high-speed development and dense deployment of non …

Spectrum sensing can effectively improve the spectrum utilization. In practice, it is difficult to
sense whether the spectrum is occupied or not due to the low signal energy at very low …

Data-driven machine learning techniques have been advocated to detect the existence of
target signals in complex wireless environments. However, wideband spectrum sensing has …

We investigate a satellites-based spectrum sensing system in the presence of low signal-to-
noise ratio (SNR) conditions. Such a low SNR is also called SNR wall in the energy …

In this paper, we consider spectrum sensing (SS) problems with various general noise
models such as Middleton class A (MCA), isometric complex symmetric-stable (), and …

Spectrum sensing is an essential component of modern wireless networks as it offers a tool
to characterize spectrum usage and better utilize it. Deep Learning (DL) has become one of …

The explosive demand for wireless communications has intensified the complexity of
spectrum dynamics, particularly within unlicensed bands. To promote efficient spectrum …

Spectrum sharing will be a key technology to tackle spectrum scarcity in the sub-6 GHz
bands. To fairly access the shared bandwidth, wireless users will necessarily need to quickly …

Spectrum sensing methods based on deep learning require massive amounts of labeled
samples. To address the scarcity of labeled samples in a real radio environment, this paper …