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Energy-efficient partial spectrum sensing with adaptive cooperation in cognitive radio

机译:认知无线电中具有自适应协作的高能效部分频谱传感

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Energy-Efficience has attracted significant research attention in recent years. Partial spectrum sensing algorithm with decision result prediction (DRP) and decision result modification (DRM) technique ssuccessfully conserves computation energy. Firstly, this paper proposed an new DRP based on the MAJ(Majority) rule instead of AND rule. The simulation results highlights the improvement in energy-efficience and detection performance. Furthermore, an adaptive cooperative partial spectrum sensing scheme is proposed. Each cognitive user chooses an appropriate FFT size based on received SNR. Simulation results shows that, the adaptive scheme is optimal tradeoff between energy saving and detection performance whatever for cognitive network or single cognitive user.
机译:近年来,能源效率已经引起了广泛的研究关注。具有决策结果预测(DRP)和决策结果修改(DRM)技术的部分频谱感知算法成功地节省了计算能量。首先,本文提出了一种基于MAJ(Majority)规则而不是AND规则的DRP。仿真结果突出了能量效率和检测性能的提高。此外,提出了一种自适应协作部分频谱感知方案。每个认知用户都根据接收到的SNR选择合适的FFT大小。仿真结果表明,无论对于认知网络还是单个认知用户,自适应方案都是节能与检测性能之间的最佳折衷。

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