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首页> 外文会议>2016 Al-Sadiq International Conference on Multidisciplinary in IT and Communication Techniques Science and Applications >Improvement of energy consumption in cognitive radio by reducing the number of sensed samples
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Improvement of energy consumption in cognitive radio by reducing the number of sensed samples

机译：通过减少感测样本的数量来改善认知无线电的能耗

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High energy consumption is one of the main challenges faced in cognitive radio (CR) networks, which may limit their implementation especially in battery-powered devices. In these networks, significant part of the energy is consumed in the energy detector during spectrum sensing for possible vacancy for secondary user transmission. In this paper, we have investigated reducing the energy consumption of single cognitive user (CU) by reducing the number of sensed samples. Also we have explained the optimization criteria for improving energy consumption by controlling number of sensed samples, detection probability and threshold of energy detector. The performance of energy detection system is evaluated in AWGN and Rayleigh fading channels. The simulation results show that at Eb/No of 10 dB 50% and 46 % of the energy consumed in detection are saved when the number of sensed samples is reduced by 50% with acceptable loss in detection probability of 5% and 12% in AWGN and Rayleigh channel respectively. The results also shows the impact of changing the threshold of energy detector on energy consumed in spectrum sensing.
机译：高能耗是认知无线电（CR）网络面临的主要挑战之一，这可能会限制其实现，尤其是在电池供电的设备中。在这些网络中，在频谱感测期间，能量检测器中消耗了很大一部分能量，以供辅助用户传输使用。在本文中，我们研究了通过减少感测样本的数量来减少单个认知用户（CU）的能耗。我们还解释了通过控制感测样本的数量，检测概率和能量检测器阈值来改善能耗的优化标准。在AWGN和瑞利衰落信道中评估了能量检测系统的性能。仿真结果表明，在Eb / No为10 dB的情况下，当感测到的样本数减少50％时，在AWGN中5％和12％的检测概率损失可以接受，从而节省了50％和46％的检测能量和瑞利频道。结果还显示了改变能量检测器的阈值对频谱感测中消耗的能量的影响。

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