Joint sensing time and fusion rule threshold optimization for energy efficient CSS in cognitive radio sensor networks

Abstract

Energy resources become precious when the secondary users (SUs) in cognitive radio (CR) network are battery operated, especially in cooperative spectrum sensing (CSS). So it becomes important to use their energy efficiently. In CSS, the number of cooperative users, fusion rule threshold, transmission power, and sensing time affects the energy efficiency (EE) of the CSS. In this paper, an iterative algorithm is proposed to determine joint optimal fusion rule threshold and sensing time that maximizes the EE of CSS. Results show that EE is maximum at optimum sensing duration τ s0 = 0.841 ms and fusion rule threshold k 0 = 4 at SNR = −18 dB. Maximum EE at optimal point is ξ max = 3.15 bits/Hz/J. KEYWORDS cognitive radio (CR), cooperative spectrum sensing (CSS), energy efficiency (EE), fusion rule (FR)

Optimization of Resource Allocation Model With Energy-Efficient Cooperative Sensing in Green Cognitive Radio Networks

“…Here, we give a brief overview of the related works with the state-of-the-art schemes and algorithms adopted in the existing literature. To maximize EE, whereas encountered the required detection accuracy, [5] proposed an iterative algorithm to change the fusion threshold on optimal sensing length. The authors showed their proposed parameters while satisfying the detection accuracy constraints for EE maximization.…”