In cognitive radio, the cooperative spectrum sensing (CSS) plays a key role in determining the performance of secondary networks. However, there have not been feasible approaches that can analytically calculate the performance of CSS with regard to the multi-level quantization. In this paper, we not only show the cooperative false alarm probability and cooperative detection probability impacted...

The usable satellite spectrum is becoming scarce due to static spectrum allocation policies. Cognitive radio approaches have already demonstrated their potential towards spectral efficiency for providing more spectrum access opportunities to secondary user (SU) with sufficient protection to licensed primary user (PU). Hence, recent scientific literature has been focused on the tradeoff between ...

In this paper, we investigate cooperative spectrum sensing (CSS) in a cognitive radio network (CRN) where multiple secondary users (SUs) cooperate in order to detect a primary user (PU) which possibly occupies multiple bands simultaneously. Deep sensing, which constitutes the first CSS framework based on a convolutional neural network (CNN), is proposed. In deep sensing, instead of the explicit...

In Cognitive Radio Networks (CRN), Cooperative Spectrum Sensing (CSS) is used to improve performance of spectrum sensing techniques used for detection of licensed (Primary) user’s signal. In CSS, the spectrum sensing information from multiple unlicensed (Secondary) users are combined to take final decision about presence of primary signal. The mixing techniques used to generate final decision a...

Cooperative Spectrum Sensing (CSS) is one of the proposed solutions to overcome the interference, path loss and shadowing effect. CSS is proposed also to enable secondary users to interact with the primary users by exploiting spatial diversity. However, cooperative sensing is also facing one major issue which is the energy consumption in transmitting the sensing reports to the fusion center esp...

Spectrum sensing is identified as one of the enabling technologies for spectrum opportunities detection in cognitive radio systems. Although the latest developments in cognitive radio regulation favor the database approach, spectrum sensing can provide reliable opportunistic spectrum access in dynamic and unpredictable environments [1]. Under these circumstances, the efficiency and reliability ...

One of the main problems of Cooperative Spectrum Sensing (CSS) in cognitive radio networks is the high energy consumption. Energy is consumed while sensing the spectrum and reporting the results to the fusion centre. In this chapter, a novel partial CSS is proposed. The main concern is to reduce the energy consumption by limiting the number of participating users in CSS. Particularly, each user...

Cognitive radio (CR) is a promising technology for improving usage of frequency band. Cognitive radio users (CUs) are allowed to use the bands without interference in operation of licensed users. Reliable sensing information about status of licensed band is a prerequirement for CR network. Cooperative spectrum sensing (CSS) is able to offer an improved sensing reliability compared to individual...

Spectrum sensing is of great importance in the cognitive radio (CR) networks. Compared with individual spectrum sensing, cooperative spectrum sensing (CSS) has been shown to greatly improve the accuracy of the detection. However, the existing CSS algorithms are sensitive to noise uncertainty and are inaccurate in low signal-to-noise ratio (SNR) detection. To address this, we propose a double-th...

Energy efficacious-cooperative spectrum sensing (EE-CSS) protocol based on Trust and Reputation Management (TRM) unit is proposed. This protocol reduces the number of sensing reports exchanged between secondary users and its base station. Trust and Reputation Management unit was proposed to alleviate the malicious behaviour in Cognitive Radio Network (CRN) and to ensure there is no link disconn...