An Energy-Detection-Based Cooperative Spectrum Sensing Scheme for Minimizing the Effects of NPEE and RSPF
An Energy-Detection-Based Cooperative Spectrum Sensing Scheme for Minimizing the Effects of NPEE and RSPF
复制标题
用于最小化 NPEE 和 RSPF 影响的基于能量检测的协作频谱感知方案
DOI：
10.1145/2988287.2989169
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Bayoumi, Magdy
中科院分区：
文献类型：
--
作者：
Olaleye, Oladiran G.;Iqbal, Muhammad;Aly, Ahmed;Perkins, Dmitri;Bayoumi, Magdy
为了提高频谱利用率，获取频谱态势感知（SSA）的关键技术--频谱感知--随着网络规模的增加，通过活跃频谱用户之间的合作得到了极大的改善。然而，已经提出的许多合作频谱感知（CSS）方案是基于准确的噪声功率估计，噪声水平的特征变化和虚假或恶意用户的情况下的假设。作为一系列SSA研究项目的一部分，在这项研究工作中，我们提出了一种新的方案，通过基于能量的可靠性评估，最大限度地减少噪声功率估计误差（NPEE）和接收信号功率伪造（RSPF）的影响。该方案采用投票规则对多个频谱感知数据进行融合。基于仿真结果，所提出的方案产生显着的改善，68.2 - 88.8%，比传统的CSS计划，当比较的基础上，该计划的稳定性，噪声和信号功率的不确定性。
For improved spectrum utilization, the key technique for acquiring spectrum situational awareness (SSA) -- spectrum sensing -- is greatly improved by cooperation among the active spectrum users, as network size increases. However, the many cooperative spectrum sensing (CSS) schemes that have been proposed are based on the assumptions of accurate noise power estimates, characterizable variation in noise level and absence of false or malicious users. As part of a series of SSA research projects, in this research work, we propose a novel scheme for minimizing the effects of noise power estimation error (NPEE) and received signal power falsification (RSPF) by energy-based reliability evaluation. The scheme adopts the Voting rule for fusing multiple spectrum sensing data. Based on simulation results, the proposed scheme yields significant improvement, 68.2 - 88.8%, over the conventional CSS schemes, when compared on the basis of the schemes' stability to uncertainties in noise and signal power.