Spectrum sensing and energy detection in cognitive networks

Energy Detection Based Spectrum Sensing for Sensing Error Minimization in Cognitive Radio Networks

In this paper, we investigate an optimization of threshold level with energy detection to improve the spectrum sensing performance. Determining threshold level to minimize spectrum sensing error both reduces collision probability with primary user and enhances usage level of vacant spectrum, resulting in improving total spectrum efficiency. However, when determining threshold level, spectrum se...

Energy Detection Technique for Spectrum Sensing in Cognitive Radio

With unprecedented growth of the subscribers in modern cellular and wireless data communications, there is an acute scarcity of additional bandwidth to meet the ever growing demand. To ease the constraint of additional bandwidth, utilization of the existing system has been a topic of recent interest. Cognitive Radio is a new technique in which the spectral holes in unutilized spectrum are deter...

Energy Detection Performance of Spectrum Sensing in Cognitive Radio

Spectrum sensing is a challenging task for cognitive radio. Energy detection is one of the popular spectrum sensing technique for cognitive radio. In this paper we analyze the performance of energy detection technique to detect primary user (PU). Simulation results show that the probability of detection increases significantly when signal to noise ratio increases. It is also observed that the d...

Optimal Energy-Efficient Cooperative Spectrum Sensing in Cognitive Radio Networks

Inspired by the green communication trend of next-generation wireless networks, we select energy-efficient throughput as optimization metric for jointly optimizing sensing time and working sensors in cooperative cognitive radio networks. Specifically, an iterative algorithm is proposed to obtain the optimal values for these two parameters. Specifically, the proposed iterative algorithm is low c...

Towards Energy Efficient Cooperative Spectrum Sensing in Cognitive Radio Networks