In order to increase the spectral efficiency of any communication systems, spectrum sensing
techniques may be used for proficient utilization of inadequate spectrum resources. It …

Multiple spectrum measurement campaigns around the world have shown that even though
the frequencies below 6 GHz are very crowded, enough portions of the spectrum remain …

In this paper, semi-blind class of spectrum sensing algorithms, Energy Detection (ED) and
Roy's Largest Root Test (RLRT), are considered under a typical flat fading channel scenario …

With the advent of 6G, dynamic spectrum sharing (DSS) has become a critical technology to
Non-Terrestrial Networks (NTNs). In 6G DSS, machine learning (ML) will provide a better …

Two particular semi-blind spectrum sensing algorithms are taken into account in this paper:
Energy Detection (ED) and Roy's Largest Root Test (RLRT). Both algorithms require the …

In the context of the currently developed networks for the realization of future
communications, the concept of Cognitive Radio (CR) has a significant place. Its …

Software defined radios (SDRs) and cognitive radios (CRs) empower mobile communication
handsets to support multiple wireless communication standards and services, and improve …

The scarcity of spectral resources in wireless communications, due to a fixed frequency
allocation policy, is a strong limitation to the increasing demand for higher data rates …

In this paper, an area and power efficient two-stage spectrum sensing scheme for cognitive
radios (CRs) is proposed. A typical parallel spectrum sensing using filter bank has …

In this paper, we extend the concept of SNR Wall phenomenon for Energy Detection (ED) to
the multi-sensor ED by using a hybrid approach with auxiliary noise estimation under a …