Cooperative spectrum-sensing algorithm in cognitive radio by simultaneous sensing and BER measurements

Abstract

This paper considers spectrum utilization, the probability of detection in cognitive radio (CR) model based on cooperative spectrum sensing with both simultaneous adaptive sensing and transmission at a transmitting secondary user (TSU), and the bit error rate (BER) detection with variation checking at a receiving user (RSU). In this paper, a novel detecting model is proposed in the being considered scenario for the full-duplex TSU's simultaneous sensing and transmitting. A spectrum sensing scheme with an adaptive sensing window is designed to improve the spectrum utilization with a high SNR. At RSU, the BER variation is used further to detect whether a PU is active or not. Data fusion based on the proposed adaptive sensing scheme and the BER detection is processed for better decison on the spectrum holes. Simulation results show that (1) simultaneous spectrum sensing with an adaptive window improves the spectrum utilization compared with a periodical sensing and (2) cooperative spectrum sensing with the BER-assisted detection improves the probability of detection and spectrum utilization compared with the single simultaneous sensing at TSU.

Cognitive Radio Spectrum Sensing Technique Using M-ary QAM for Different Fading Environments

“…To overcome this a heuristic cooperative sensing algorithm is proposed, which reduces the computational complexity of the overall Cognitive Radio system. Lu et al in [12] presented novel detecting model for the full duplex Transmitting Secondary Users, which have the capability to sense and transmit simultaneously. For the detection of spectrum holes an adaptive sensing window is also proposed, which improves accuracy of detection without any significant increase in system complexity.…”

Crowdsensing Task Assignment Based on Particle Swarm Optimization in Cognitive Radio Networks

“…In [7], cooperative spectrum sensing based on crowdsourcing is studied to address the security issue brought by malicious mobile users. In [8], authors consider the simultaneous sensing and transmitting of users and propose a novel detection model for cooperative spectrum sensing. In multichannel networks, the sensing task assignment is considered in parallel, and several sensing strategies are proposed to schedule users based on network parameters [9].…”

Efficient idle channel discovery mechanism through cooperative parallel sensing in cognitive radio network

“…The data transmission time is evaluated as (15) and can be increased by minimizing the overhead delay…”

“…In [15], spectrum sensing schemes are proposed with adaptive sensing window and BER-assisted detection that improve probability of detection and spectrum utilization. However, comparison of these schemes are only given with the fixed sensing window and adaptive sensing window.…”