This work explores the scope of Fuzzy C-Means (FCM) clustering on energy detection based
cooperative spectrum sensing (CSS) in single primary user (PU) cognitive radio network …

We present a survey of state-of-the-art algorithms for spectrum sensing in cognitive radio.
The algorithms discussed range from energy detection to sophisticated feature detectors …

As we advance towards 6G communication systems, the number of network devices
continues to increase resulting in spectrum scarcity. With the help of Spectrum Sensing (SS) …

Emerging applications such as autonomous driving and Internet of things (IoT) services put
forward the demand for simutaneous sensing and communication functions in the same …

In this paper, we investigate an optimization of threshold level with energy detection to
improve the spectrum sensing performance. Determining threshold level to minimize …

We study the distributed spectrum sensing in cognitive radio networks. Existing distributed
consensus-based fusion algorithms only ensure equal gain combining of local …

Cognitive radio networks sense spectrum occupancy and manage themselves to operate in
unused bands without disturbing licensed users. The detection capability of a radio system …

This comprehensive reference text discusses concepts of cognitive radio and the advances
in the field of spectrum sensing. This text discusses the concept of cognitive radio for next …

In cognitive radio (CR), the soft decision fusion (SDF) rule plays a critical role in cooperative
spectrum sensing (CSS). However, the computational cost on obtaining efficient SDF rule …

In this paper, an adaptive cooperative spectrum sensing scheme using random access is
proposed in a cognitive radio network. Although cooperative spectrum sensing improves the …