Modeling the Impact of 5G Leakage on Weather Prediction
Modeling the Impact of 5G Leakage on Weather Prediction
复制标题
模拟 5G 泄漏对天气预报的影响
DOI：
--
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
N. Mandayam
中科院分区：
文献类型：
--
作者：
Mohammad Yousefvand;C. Wu;Ruoqian Wang;Joseph Brodie;N. Mandayam
在26 GHz频谱中分配的5G频段，即3GPP频段n258，在包括美国国家海洋和大气管理局（NOAA）在内的气象数据预报界引起了很多焦虑和关注。与传统的频谱共存问题不同，这里的问题源于n258波段传输的泄漏，影响了在23.8 GHz工作的气象卫星上的无源传感器（例如AMSU-A）的观测，这些传感器用于探测大气中的水蒸气量，进而影响天气预报和预测。本文采用一阶传播模型表征了5G泄漏信号对气象观测卫星被动传感器（辐射计）接收天线的亮度温度（大气辐射）和诱导噪声温度的影响，研究了5G泄漏对基于数据同化的天气预报算法精度的影响。然后，我们描述了使用天气研究和预报数据同化模型（WRFDA）预测温度和降雨量时产生的不准确性。例如，-20dBW至-15dBW的5G泄漏对著名的“超级星期二龙卷风爆发”数据集的影响，影响了高达0.9 mm降水和1.3^{circ}m {C}$ 2m温度的气象预报。我们概述了改进5G泄漏效应建模以及使用跨层天线技术与资源分配相结合的缓解的未来方向。
The 5G band allocated in the 26 GHz spectrum referred to as 3GPP band n258, has generated a lot of anxiety and concern in the meteorological data forecasting community including the National Oceanic and Atmospheric Administration (NOAA). Unlike traditional spectrum coexistence problems, the issue here stems from the leakage of n258 band transmissions impacting the observations of passive sensors (e.g. AMSU-A) operating at 23.8 GHz on weather satellites used to detect the amount of water vapor in the atmosphere, which in turn affects weather forecasting and predictions. In this paper, we study the impact of 5G leakage on the accuracy of data assimilation based weather prediction algorithms by using a first order propagation model to characterize the effect of the leakage signal on the brightness temperature (atmospheric radiance) and the induced noise temperature at the receiving antenna of the passive sensor (radiometer) on the weather observation satellite. We then characterize the resulting inaccuracies when using the Weather Research and Forecasting Data Assimilation model (WRFDA) to predict temperature and rainfall. For example, the impact of 5G leakage of -20dBW to -15dBW on the well-known Super Tuesday Tornado Outbreak data set, affects the meteorological forecasting up to 0.9 mm in precipitation and $1.3^{circ}mathrm{C}$ in 2m-temperature. We outline future directions for both improved modeling of 5G leakage effects as well as mitigation using cross-layer antenna techniques coupled with resource allocation.