Data science or “data-driven research” is a research approach that uses real-life data to gain
insight about the behavior of systems. It enables the analysis of small, simple as well as …

We study cooperative spectrum sensing in cognitive radio networks (CRN) using machine
learning techniques in this paper. A low-dimensional probability vector is proposed as the …

Practical cognitive radio networks (CRNs) would have users with different capabilities and
access levels to prior information about the primary users (PUs). For instance, some users …

Machine learning based approaches for spectrum sensing and spectrum occupancy
prediction in cognitive radio applications appear to have attracted sufficient interest in the …

Cooperation in spectral sensing (SS) offers a fast and reliable detection of primary user (PU)
transmission over a frequency spectrum at the expense of increased energy consumption …

Spectrum sensing is a key function in cognitive radio network (CRN) to avoid harmful
interference with licensed users and identify the free spectrum to improve spectrum …

Cognitive radio (CR) is a recent technology to tackle the problem of radio spectrum scarcity.
Successful spectrum sensing is fundamental in performance of CR networks; hence, a PSO …

This paper introduces an improved cooperative spectrum sensing (CSS) algorithm for
cognitive radio (CR) networks based on the machine learning technique. In this scheme …

In cognitive radio networks, the performance of energy detection will be degraded
significantly due to the cluster overlapping caused by noise uncertainty. To alleviate the …

In this paper, we aim to propose a stochastic joint optimization method that allows the
minimization of the energy consumption of the spectrum sensing of a multi-hop secondary …