Improvement of spectrum sensing performance in cognitive radio using modified hybrid sensing method

Abstract

Cognitive radio (CR) is a wireless technology for increasing the bandwidth usage. Spectrum sensing (SS) is the first step in CR. There are three basic techniques in SS, energy detection (ED), matched filter (MF), and cyclostationary detection (CFD). These techniques have many challenges in performance detection (Pd) and computational complexity (CC). In this paper, we propose a hybrid sensing method that consists of MF and CFD to exploit their merits and overcome their challenges. The proposed method aims to improve Pd and reduce CC. When MF hasn’t had enough information about PU, it switches to CFD with a reduction of CC in both MF and CFD. The proposed method is simulated under fading with cooperative and non-cooperative scenarios, measured using Pd and CC ratio Cratio, and evaluated by comparing it with traditional and hybrid methods in the literature. The simulation results show that the proposed method outperforms other methods in Pd and Cratio. For example, at Eb/No equal to 0 dB under the Rayleigh fading channel, the Pd in the proposed method increased by 38 %, 28 %, 28 %, and 18 % as compared with the modified hybrid method, traditional hybrid method, traditional CFD method, and traditional MF method in the literature, respectively.

Hybrid Spectrum Sensing Using MD and ED for Cognitive Radio Networks

“…Table 4 shows a comparison of different hybrid sensing techniques performed previously and the results are compared with our proposed HD model based on the requirement of the IEEE 802.22 WRAN standard. The proposed HD model that performs the best in terms of PD is 0.98 (case 1) or 1 (case 2) and PFA is 0 under the CSS environment compared to other previous work shown in [17][18][19]. The proposed HD model along with four CSS users' results are shown to be better when compared to the results shown in [36] along with 15 CSS users.…”

“…We achieved the best results, i.e., a P D of 0.98 for case 1 and a P D of 1 for case 2, while P FA is 0 under −20 dB SNR under the CSS scenario using the HD model to determine the spectrum holes for the IEEE 802.22 WRAN standard using the proposed HD model. In Table 4, a comparison of our proposed HD model is shown with the previous hybrid detectors shown in [17][18][19]. Our HD model proves better in all the previous work performed in this field.…”

“…In distributed CSS, each CR user can take decisions by themselves while in centralised CSS, each CR user reports to the fusion centre (FC) (one CR acts as the FC) and a decision is taken by the FC jointly based on the available reports submitted to FC [16]. Research proves that, instead of traditional/ normal sensing techniques such as ED or MD, hybrid sensing [17][18][19][20] performance is always better. In hybrid sensing, two or more detectors are joined together and a decision is taken jointly which improves the detection capabilities of a single detector along with CSS.…”

On the Performance of an Improved Energy Detector with Threshold Modification for Cognitive Radio Networks

“…Moreover, the creators have likewise validated the discovery execution of ED with ideal CSI with a different distance of client by considering a metropolitan organization model. However, ideal CSI isn't practically accessible and hence, detecting execution with defective CSI ought to be assessed [11][12][13][14]. The few works on modified threshold have been presented in the literature with an uncorrelated and limited number of users as [15][16][17][18][19].…”

“…However, ideal CSI isn't practically accessible and hence, detecting execution with defective CSI ought to be assessed [11][12][13][14]. The few works on modified threshold have been presented in the literature with an uncorrelated and limited number of users as [15][16][17][18][19].…”