On the Energy Consumption of the Decision-Fusion Rules in Cognitive Radio Networks
On the Energy Consumption of the Decision-Fusion Rules in Cognitive Radio Networks
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DOI：
10.1109/camad.2012.6335312
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发表时间：
2012-10
期刊：
影响因子：
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通讯作者：
S. Althunibat;S. Narayanan;M. Renzo;F. Granelli
中科院分区：
文献类型：
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作者：
S. Althunibat;S. Narayanan;M. Renzo;F. Granelli
认知无线电已被证明是解决频谱短缺和利用不足问题的有效解决方案。然而，频谱感知期间的能耗是认知无线电的一个显着缺点，尤其是在能量有限的系统中。频谱感知中增加能耗的一个重要阶段是融合中心的决策融合。已经提出了许多决策融合规则，例如似然比规则（LR）、最大比组合规则（MRC）和等增益组合规则（EGC）。本文对这些规则进行了比较。比较是在有限时间假设下，在给定误报概率阈值下消耗的能量和可实现的检测概率。仿真结果表明，在感知时间短、信噪比低、用户数量大等关键条件下，EGC在节能和检测概率方面都有较好的表现。
Cognitive radio has been proved to be an efficient solution for spectrum shortage and underutilization problems. However, energy consumption during spectrum sensing is a significant drawback of cognitive radio especially in energy-limited systems. An important stage in spectrum sensing playing a role in increasing the energy consumption is the decision fusion at the fusion center. Many decision-fusion rules have been proposed such as Likelihood Ratio rule (LR), Maximum Ratio Combining rule (MRC) and Equal Gain Combining rule (EGC). A comparison among these rules is presented in this paper. The comparison is in terms of the consumed energy and the achievable detection probability at a given false alarm probability threshold, under a limited time assumption. Simulation results show that in critical conditions, such as short sensing time, low SNR, and large number of users, EGC has a better performance in both energy saving and detection probability.