Double Threshold Spectrum Sensing Methods in Spectrum-Scarce Vehicular Communications
Double Threshold Spectrum Sensing Methods in Spectrum-Scarce Vehicular Communications
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DOI：
10.1109/tii.2018.2816580
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发表时间：
2018-03
影响因子：
12.3
通讯作者：
Ellen Hill;Hongjian Sun
中科院分区：
文献类型：
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作者：
Ellen Hill;Hongjian Sun
随着车辆通信成为广泛的现象，光谱稀缺将会增加。认知无线电提供了一个有效的解决方案，但需要一种强大的感应机制，需要大开销。此额外的感应数据可能会损害已经缺乏带宽的系统。本文提出了通过改进使用合作机制和可调节双阈值（DTHS）的当前方法来限制开发开销的新型方法。基于滑动变量，提议的阈值可以对环境的变化做出反应，从而在限制报告传感数据的车辆数量的同时提供所需的主要用户检测和错误警报概率。提出了三个新的DTH：基于检测的DTH，基于决策的DTH和独立阈值DTH。每个都有独特的属性，使其适合不同的环境。在所有提议的阈值上进行模拟，以测试其在环境变化下的有效性和耐力。结果表明，DTHS将极大地受益于高强度，密集的车辆网络。
As vehicular communication becomes a widespread phenomenon, there will be an increase in spectrum scarcity. Cognitive radio provides an effective solution but requires a robust sensing mechanism that entails a large overhead; this additional sensing data could be detrimental to a system already lacking in bandwidth. This paper proposes novel ways of limiting sensing overhead by improving upon current methods which use cooperative mechanisms and adjustable double thresholds (DTHs). Based on a sliding variable, the proposed thresholds can react to changes in the environment, providing the required primary user detection and false alarm probabilities while limiting the number of vehicles reporting sensing data. Three new DTHs have been proposed: detection-based DTH, decision-based DTH, and independent-threshold DTH. Each has unique properties that make it suited for different environments. Simulations were run on all proposed thresholds to test their validity and endurance under environmental changes. The results indicate that the DTHs would greatly benefit high-contention, dense vehicular networks.