This paper addresses the problem of spectrum sensing in multi-antenna cognitive radio
system using the support vector machine (SVM) algorithms. First, we formulated the …

This paper addresses the problem of spectrum sensing in cognitive radio networks under
multiple primary users condition using multi-class support vector machine (SVM) algorithms …

Abstract Cognitive Radio Network (CRN) is an intelligent wireless communication system
that adapts itself to variations in the incoming radio frequency stimuli by modifying the …

Cognitive radio spectrum sensing is an important issue in today's emerging communication
techniques. Similarly, vehicular networks are vital considering the increasing traffic on roads …

The unknown noise variance and time-variant fading channels make the spectrum sensing
design a challenging task for cognitive radios. Most existing sensing methods suffer from the …

Cognitive radio (CR) environment helps in solving the spectrum scarcity by predicting the
available channels through the cooperative spectrum sensing. Spectrum sensing is …

The demand for wireless transmission and existence of the cognitive radio networks (CRN)
insist the need for detecting the Primary User Emulsion Attack (PUEA) that authenticates the …

Spectrum sensing (signal detection) is a fundamental problem in cognitive radio networks.
Signals, having low signal to noise ratio, are more difficult to detect due to rapid fluctuation of …

In this paper, a new architecture of cognitive radio network (CRN) is presented for future
dynamic spectrum sharing in time-variant flat fading (TVFF) channels. We consider a …

In this paper, we propose a new spectrum sensing method which could detect the time-
variant fading channel gain and primary user state jointly. This joint estimation algorithm is …