In this work, the performance of support vector machine (SVM)-based classifier, applied for
spectrum sensing in cognitive radio (CR) networks, is analyzed. A single observation given …

In this paper machine learning techniques based cooperative spectrum sensing (CSS)
algorithms are investigated for cognitive radio networks (CRN). A novel support vector …

A framework of spectrum sensing with a multi-class hypothesis is proposed to maximize the
achievable throughput in cognitive radio networks. The energy range of a sensing signal …

In the recent wireless scenario, Cognitive Radio (CR) is a critical technique that supports
efficient utilization of the radio spectrum. Spectrum sensing is the main task of CR that plays …

Network lifetime and energy consumption are major issues in wireless sensor networks
while protection of the primary user is the most important activity in a cognitive radio network …

Spectrum sensing is the paramount aspect of cognitive radio network where a secondary
user is able to utilize the idle channels of the licensed spectrum band in an opportunistic …

Among the basic components of cognitive radio technology is spectrum sensing technology.
Cooperative spectrum sensing is also a crucial factor research directions of spectrum …

Cognitive radio is one of solution to increase the efficient usage of frequency by spectrum
sharing. One important compenent in the spectrum sharing is spectrum management …

Cognitive Radio (CR) network is established for spectrum utilization. This technology allows
unlicensed users to share the spectrum with licensed users. In order to perform such a …

In cognitive radio network (CRN) three types of spectrum sensing techniques are widely
used: matched filter detection, cyclostationary detection, and energy detection. Matched filter …