Radio spectrum needed for applications, such as mobile telephony, digital video
broadcasting (DVB), wireless local area networks (WiFi), wireless sensor networks (ZigBee) …

The availability of radio spectrum is limited. The demand for high data transmission requires
the increase in the spectrum which over burdens the available frequency spectrum because …

Spectrum sensing is a prominent functionality to enable dynamic spectrum access (DSA) in
cognitive radio (CR) networks. It provides protection to primary users (PUs) from interference …

In this paper, the performance of spectrum sensing techniques over two wave diffused
power (TWDP) fading channels has been investigated for CR based IoT devices. The …

Cognitive radio (CR) is a potential strategy for opportunistic access of idle resources to solve
the conflicts between spectrum scarcity and underutilization. Spectrum sensing (SS) …

A spectrum analyzer requires a high linearity to handle strong signals, and at the same time
a low NF to enable detection of much weaker signals. This is not only important for lab …

With the recent explosion in the number of wireless communication technologies, the
frequency spectrum has become a scarce resource. The need of the hour is an efficient …

The modulated wideband converter (MWC) is a kind of sub-Nyquist sampling system which
is developed from compressed sensing theory. It accomplishes highly accurate broadband …

The traditional approach for energy detection (ED) consists in the comparison of the energy
received against a fixed detection threshold, estimated according to an expected noise level …

The most commonly used spectrum sensing techniques in cognitive radio (CR) networks,
such as the energy detector (ED), matched filter (MF), and others, suffer from the noise …