This paper suggests a cooperative spectrum sensing using dynamic double thresholds energy detection and adaptive grid search to obtain the highest probability detection. The proposed double thresholds are adaptive to noise fluctuation. A new fusion method combined of weighting and voting is used in cooperative sensing. Further, in order to obtain the best sensing performance, we firstly use ada...

Radio Spectrum is most precious and scarce resource and must be utilized efficiently and effectively. Cognitive radio is the promising solutions for the optimum utilization of the scared natural resource. The spectrum owned by the primary user should be shared among the secondary user, but primary user should not be interfered by the secondary user. In order to utilize the primary user spectrum...

In the wideband regime, direct spectrum estimation requires the use of power hungry high-rate analog-to-digital converters to satisfy the required high Nyquistrate. While compressive sampling is popular for perfect reconstruction of sparse signals sampled below the Nyquist rate, for some applications, such as spectrum sensing for cognitive radio, perfect signal reconstruction is an overkill sin...

Radio Spectrum is regarded as a fundamental unit in Wireless communication network, as it plays an important role of transmission medium; and with the advent of technologies dealing with radio spectrum; cognitive radio has emerged as a effective solution to the problem of limited radio spectrum. Cognitive radio uses spectrum sensing to study surrounding environment and to demonstrate the approp...

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...