Adaptively Controlled Cooperative Spectrum Sensing Using OR Fusion Rule for Throughput Maximization in Cognitive Radio

• Published in: Wireless personal communications Vol. 109; no. 4; pp. 2095 - 2105
• Main Authors: ElHassan, Mohamed Abou, Abd-Elnaby, Mohammed, El-Dolil, Sami A., El-Samie, Fathi E. Abd
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.12.2019; Springer Nature B.V
• Subjects: Cognitive radio; Communications Engineering; Computer Communication Networks; Cooperative control; Detection; Engineering; False alarms; Maximization; Networks; Optimization; Signal to noise ratio; Signal,Image and Speech Processing; Spectrum allocation; Cooperative spectrum sensing; Cognitive radio; Spectrum sensing
• ISSN: 0929-6212; 1572-834X
• DOI: 10.1007/s11277-019-06234-z

Utilization of wireless spectrum resources should be improved with the great increase of using wireless services. Cognitive radio (CR) has been proposed to overcome the problem of inefficient use of spectrum holes. Spectrum sensing is the most important functional block, which is used to estimate the spectrum holes in the CR system. Cooperative spectrum sensing improves the detection performance and minimizes miss-detection of the primary user. The objective of this paper is to achieve the maximum throughput for all values signal-to-noise ratio (SNR). Cooperative spectrum sensing with fixed sensing time does not provide efficient throughput performance for all values of SNR. In this paper, we propose an adaptively controlled cooperative spectrum sensing scheme using OR fusion rule for throughput maximization in CR system. The proposed scheme estimates the required optimal sensing time for each value of the SNR to achieve the maximum throughput. Simulation results of the proposed scheme demonstrate that it maximizes the achieved throughput for all values of SNR and minimizes the probability of false alarm.