The accurate and timely spectrum sensing ability is very critical to cognitive radio.
Cyclostationary feature detection has the ability to separate the signal of interest from noise …

Quickly and accurately detecting signals over a wide frequency range under conditions of
low SNR and multipath fading is one of the most challenging requirements for dynamic …

Spectrum sensing is a key task in any cognitive radio network. On the other hand, a literature
survey in this topic shows a lack of implementation and testbeds for spectrum sensing …

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 …

The past decades witnessed the fast development of the wireless communication
technologies and its applications. However, the upgrading demand is contradictory to the …

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 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 …

Cognitive radio (CR) is the next-generation communication system with high spectrum
utilization and efficiency. It is very crucial for CR to sense the environment spectrum holes …

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 …

Spectrum sensing is the ability on which Cognitive Radio relies to obtain spectrum
awareness. In this paper, an experimental study of different time domain cyclostationary …