Efficient evidence‐based decision fusion scheme for cooperative spectrum sensing in cognitive radio networks,Transactions on Emerging Telecommunications Technologies

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Efficient evidence‐based decision fusion scheme for cooperative spectrum sensing in cognitive radio networks
Transactions on Emerging Telecommunications Technologies ( IF 2.5 ) Pub Date : 2020-02-27 , DOI: 10.1002/ett.3901
Oluyomi Simpson ₁ , Yichuang Sun ₁

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In this article, an evidence based decision fusion cooperative spectrum sensing (CSS) schemes has been considered for overcoming the hidden terminal problem, improving reliability, and increasing SU agility. Under practical conditions, the combination of conflicting evidences with the classical Dempster‐Shafer theory (DS theory) rule may produce counter‐intuitive results when combining the secondary users (SUs) sensing data evidence leading to poor CSS performance. In order to overcome and minimize the effect of conflicting data, and to enhance performance of the CSS system, a novel efficient evidence‐based decision fusion scheme CSS is proposed. The approach is based on the credibility of evidence from the SUs sensing decision, which represents the similarity or the relation among the different SUs sensing data evidence, and a dissociability degree measure that indicates the quality or clarity of the SUs sensing data evidence. Furthermore, a weighted averaging factor determined by the credibility and dissociability of the SU sensing data evidence is proposed. Simulation results presented show that under practical conditions the proposed scheme enhances the performance of the CSS system when compared to traditional fusion rules that do not take into account the difference in local sensing reliability between the SUs.

中文翻译：

认知无线电网络中基于有效证据的协作频谱感知决策融合方案

在本文中，已经考虑了基于证据的决策融合协作频谱感知（CSS）方案，以克服隐藏终端问题，提高可靠性并提高SU敏捷性。在实际情况下，将有冲突证据与经典Dempster-Shafer理论（DS理论）规则相结合可能会在结合次级用户（SU）感知数据证据导致CSS性能较差时产生违反直觉的结果。为了克服和减少冲突数据的影响，并提高CSS系统的性能，提出了一种新颖的基于证据的高效决策融合方案CSS。该方法基于SU感知决策中证据的可信度，它代表了不同SU感知数据证据之间的相似性或关联性，以及可分离度指标，用于指示SU传感数据证据的质量或清晰度。此外，提出了由SU感测数据证据的可信度和可分离性确定的加权平均因子。仿真结果表明，与传统的融合规则相比，在不考虑SU之间局部感知可靠性差异的情况下，该方案在实际条件下可提高CSS系统的性能。

更新日期：2020-02-27

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