This paper addresses the problem of cyclostationary detection when the signal spectrum is
partly intercepted. The signal model for partial interception of spectrum is presented …

Spectrum sensing plays an important role in cognitive radios because the secondary users
need to continuously monitor the spectrum for the presence of primary user. In this paper, we …

Real time spectrum sensing with certain accuracy plays a key role in cognitive radio.
Cyclostationary feature is used for spectrum sensing in this paper. Usually, cyclostationary …

Spectrum sensing is one of the key challenges in the cognitive radio network. Primary user
signal must be detected reliably in the low signal-to-noise ratio (SNR) regime and in …

Cognitive radio is the key technology for future wireless communication. Spectrum sensing
is one of the most important functions in cognitive radio (CR) applications. It involves the …

Spectrum sensing is a vital signal processing task in the cognitive radio systems in order to
detect and identify the primary users signals (the licensees). In this paper, we study the …

Spectrum sensing is one of the most important technologies in the implementation of
cognitive radio system using dynamic spectrum resource management. Since the …

Cognitive radios aim to implement dynamic frequency usage which is proposed to increase
the efficiency of the spectrum and can sense their environment, detect the idle bands and …

Spectrum sensing is a fundamental problem in cognitive radio systems. Its main objective is
to reliably detect signals from licensed primary users to avoid harmful interference. As a first …

The most challenging problem in Cognitive radio is the detection of unused frequency bands
and exploit them opportunistically for spectrum access. Cognitive radios must be able to …