… of spectrum decision, spectrum sharing, and spectrum mobility. To … of spectrum utilization,
spectrum prediction for cognitive radio … in cognitive radio networks. We summarize the major …

… distributed spectrum sensing for cognitive radios. In such systems, the nodes typically
collaborate in identifying and exploiting the underutilized spectrum. In distributed sensing systems, …

… [14], blind spectrum sensing [15], [16], and sensing algorithms based on ML estimates of …
optimal joint spectrum sensing and parameter estimation for cognitive radio networks given …

… Cognitive radio can play an important role in improving energy efficiency in wireless networks,
because from the green perspective, spectrum … -bit cooperative spectrum sensing schemes…

… for IoT devices to efficiently utilize spectrum resources. Spectrum sensing is a critical problem
in … , in this article, we introduce a novel spectrum sensing method for CR-IoT with additive …

… Spectrum sensing is the key requirement and one of the most challenging issues for the
cognitive radio … layer spectrum sensing techniques for cognitive radios. The major challenges in …

… ever growing demand for radio spectrum, cognitive radio has recently … spectrum sensing,
which was previously introduced as a simple and computationally efficient spectrum sensing …

… Abstract: Spectrum sensing is a key problem in cognitive radio (CR). Because of a low
SNR, fading and sensing time constraints, a single CR may not be able to reliably sense the …

… in spectrum sensing, a core component in cognitive radio. The traditional approaches to
spectrum sensing are … spectrum sensing model that can overcome the limitations of traditional …

… the existence of a primary radio, who is a licensed … spectrum sensing to combat the effects
of destructive channels and malfunctioning devices. Our approach conducts spectrum sensing …