Kriging-Based Interference Power Constraint: Integrated Design of the Radio Environment Map and Transmission Power
Kriging-Based Interference Power Constraint: Integrated Design of the Radio Environment Map and Transmission Power
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DOI：
10.1109/tccn.2017.2653189
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发表时间：
2017-03-01
影响因子：
8.6
通讯作者：
Fujii, Takeo
中科院分区：
文献类型：
--
作者：
Sato, Koya;Fujii, Takeo
提出了一种利用无线电环境图(REM)进行空间频谱共享的概率干扰约束方法。REM存储平均接收信号功率的空间分布。我们可以使用克立格插值法优化基于测量的快速眼动法的精度。虽然一些研究人员一直在提高REM的精度，但考虑到估计误差，还没有做足够的研究来实际探索干扰约束。该方法采用普通克立格插值法进行光谱制图。根据估计误差的预测分布，近似地推导出对主用户的允许干扰功率。数值结果表明，该方法能够渐近地实现概率干扰约束。此外，我们还将该方法与三种方法：完美估计方法、基于路径损失的方法和无误差预测的基于Kriging的方法的性能进行了比较。比较结果表明，即使只有少量的测量数据，该方法也比基于路径损耗的方法具有更高的频谱共享机会。与传统的基于Kriging的方法相比，该方法显著提高了干扰功率的中断概率。
This paper proposes a probabilistic interference constraint method with a radio environment map (REM) for spatial spectrum sharing. The REM stores the spatial distribution of the average received signal power. We can optimize the accuracy of the measurement-based REM using the Kriging interpolation. Although several researchers have maintained a continuous interest in improving the accuracy of the REM, sufficient study has not been done to actually explore the interference constraint considering the estimation error. The proposed method uses ordinary Kriging interpolation for the spectrum cartography. According to the predicted distribution of the estimation error, the allowable interference power to the primary user is approximately formulated. Numerical results show that the proposed method can achieve the probabilistic interference constraint asymptotically. Additionally, we compare the performance of the proposed technique with three methods: the perfect estimation, the path loss-based method, and the Kriging-based method without the error prediction. The comparison results show that the proposed method has a higher spectrum sharing opportunity than the path loss-based method, even if only a small amount of measurement data is available. It is also shown that the proposed method dramatically improves the outage probability of the interference power compared to the conventional Kriging-based method.