Performance comparison of hard and soft fusion Techniques for Energy Efficient CSS in Cognitive Radio

Girraj Sharma, Ritu Sharma
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引用次数: 7

Abstract

In this paper Comparative analysis of hard and soft fusion techniques for Energy Efficient cooperative spectrum sensing (CSS) is presented. CSS is the efficient way of detecting spectrum holes in cognitive radio (CR) network by combining sensing information of various CR users also known as secondary users (SUs). In CSS, energy resources become precious when the SUs in CR network are battery operated. So it becomes important to use their energy efficiently. In this paper, Hard fusion techniques like AND, OR and Majority and soft fusion techniques like square law selection (SLS) and square law combine (SLC) fusion are explained and fusion rule threshold that maximizes the EE is calculated. Results show that for Energy Efficient CSS, Majority fusion outperforms other fusion techniques. For majority fusion EE is 4.4% more compared to SLS fusion and maximum EE is 3.8 Mbits/Hz/joule at sensing time equals to 2ms.
认知无线电节能CSS硬、软融合技术性能比较
本文对节能协同频谱传感(CSS)中的硬融合技术和软融合技术进行了对比分析。CSS是将认知无线电(cognitive radio, CR)网络中各种次要用户(secondary users, su)的感知信息结合在一起,有效检测频谱漏洞的一种方法。在CSS中,当CR网络中的单元采用电池供电时,能源变得非常宝贵。因此,有效利用它们的能量变得非常重要。本文阐述了AND、OR、Majority等硬融合技术和平方律选择(SLS)、平方律组合(SLC)等软融合技术,并计算了使EE最大化的融合规则阈值。结果表明,对于节能CSS,多数融合优于其他融合技术。与SLS聚变相比,大多数聚变的EE高4.4%,在传感时间等于2ms时,最大EE为3.8 Mbits/Hz/焦耳。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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