Spectrum sensing is of crucial importance in cognitive radio (CR) networks. In this paper, a
reliable spectrum sensing scheme is proposed, which uses K‐nearest neighbor, a machine …

Cooperative spectrum sensing has been studied to combat the hidden terminal problem by
exploiting the spatial diversity in cognitive radio (CR) networks. This paper concerns blind …

Cognitive radio has emerged as a solution to the problem of spectrum scarcity in recent
years. Spectrum sensing is a key task in cognitive radio systems that can be performed …

Abstract Much interest in Cognitive Radio Networks (CRNs) has been raised recently by
enabling unlicensed (secondary) users to utilize the unused portions of the licensed …

Spectrum sensing is a fundamental component in a cognitive radio network to utilize the
frequency bands effectively. In this article a fast Riemannian distance-based K-medoids …

Sažetak The eigenvalue based detection is a low-cost spectrum sensing method that detects
the presence of primary user signal at a desired frequency. In this study, the largest …

Spectrum sensing is the first step to overcome the spectrum scarcity problem in Cognitive
Radio Networks (CRNs) wherein all unutilized subbands in the radio environment are …

Cognitive radio is envisaged as a promising solution to cope with the problem of spectrum
scarcity. In cognitive radio networks, users can sense the medium and opportunistically use …

In CRNs, SS is of utmost significance. Every CR user generates a sensing report during the
training phase beneath various circumstances, and depending on a collective process …

Spectrum sensing is of the utmost importance to the workings of a cognitive radio network
(CRN). The spectrum has to be sensed to decide whether the cognitive radio (CR) user can …