模型不确定性对干扰风险定量评估的影响

2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) Pub Date : 2017-03-01 DOI:10.1109/DySPAN.2017.7920776

Janne Riihijärvi, Daisy Maibam, P. Mähönen

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引用次数: 2

摘要

我们提出了一个将模型不确定性纳入用于估计干扰风险的蒙特卡罗模拟的框架。通过基于使用seamat的概念验证实现的案例研究，我们还说明了模型不确定性对估计的干扰概率有多大的影响。我们认为，特别是传播模型相关的不确定性可能是严重的，在任何干扰风险的定量研究中都应该考虑到这一点。

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Impact of model uncertainties on quantitative evaluation of interference risks

We present a framework for including model uncertainty into Monte Carlo simulations used for estimating interference risks. Through case studies based on a proof of concept implementation using SEAMCAT, we also illustrate how large impact model uncertainties can have on estimated interference probabilities. We argue that especially propagation model related uncertainties can be severe, and should definitely be considered in any quantitative study of interference risks.

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2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)

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