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Examination Rain and Fog Attenuation for Path Loss Prediction in Millimeter Wave Range

机译:毫米波范围内的路径损耗预测的检查雨和雾衰减

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The core solution for the congestion bandwidth which are utilizing these days in radio propagation inevitably is to move forward to higher frequencies, which millimeter wave frequencies can provide it as well as satisfy clients requests such as huge capacity and fast data rate. On the other hand, the high vulnerable from complex condition become holdback for instance attenuation which case due to atmospheric absorption such as rain, fog, foliage, oxygen and water vapor. Coverage planning depends on which propagation model use in various atmospheres to accomplish reasonable and dependable system. In this paper we concentrating on rain and fog parameters which are both represent most significant condition variables to encourage the planners of wireless networks to select appropriate model, which can structure and actualize the fitting model. Likewise, we look at among three different models exponential, polynomial and power to utilizing scientific conditions and goodness of fit parameters to demonstrate clearly data curve. The outcome shows that polynomial agreeable model for rainy and foggy atmospheric, and will extend the methodology to other models utilizing real data analysis to obtain comprehensive contributable results, which will conceivably be valuable assessment to millimeter wave frequencies planners.
机译:如今,在无线电传播中利用的拥塞带宽的核心解决方案不可避免地要前进到更高的频率,毫米波频率可以提供更高的频率,并满足诸如大容量和快速数据速率之类的客户要求。另一方面,易受复杂情况影响的高风险者会受到抑制,例如由于降雨,雾气,树叶,氧气和水蒸气等大气吸收而导致衰减。覆盖计划取决于在各种环境中使用哪种传播模型来完成合理而可靠的系统。在本文中,我们集中于雨和雾参数,它们都是最重要的条件变量,以鼓励无线网络的规划者选择合适的模型,从而可以构造和实现拟合模型。同样,我们考察了三种不同的模型,它们利用指数,多项式和幂来利用科学条件和拟合参数的优度来清楚地展示数据曲线。结果表明,该模型适用于多雨和多雾的大气,并且将利用实际数据分析将该方法扩展到其他模型,以获得全面的可归因的结果,这对于毫米波频率规划者来说可能是有价值的评估。

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