Scattering Mechanisms and Modeling for Terahertz Wireless Communications

Scattering Mechanisms and Modeling for Terahertz Wireless Communications
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DOI:
10.1109/icc.2019.8761205
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发表时间:
2019-03
期刊:
ICC 2019 - 2019 IEEE International Conference on Communications (ICC)
影响因子:
--
通讯作者:
Shihao Ju;S. Shah;Muhammad Affan Javed;Jun Li;Girish Palteru;Jyotish Robin;Yunchou Xing;Ojas Kanhere;T. Rappaport
Shihao Ju;S. Shah;Muhammad Affan Javed;Jun Li;Girish Palteru;Jyotish Robin;Yunchou Xing;Ojas Kanhere;T. Rappaport
中科院分区:
其他
文献类型:
--
作者:
Shihao Ju;S. Shah;Muhammad Affan Javed;Jun Li;Girish Palteru;Jyotish Robin;Yunchou Xing;Ojas Kanhere;T. Rappaport

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本文通过研究不同表面粗糙度材料的辐射散射功率,对微波至太赫兹波段(如1 GHz-1 THz)的无线电波散射进行了分析。首先,发展和解释了用于无线移动无线电的散射和反射的基本原理,并研究了粗糙表面散射对反射系数的影响。接收功率的推导使用两种流行的散射模型-指令散射(DS)模型和雷达横截面(RCS)模型,通过对两种模型在广泛的频率,材料和方向范围内的模拟,并测量证实了140 GHz下DS模型的准确性。本文表明,当频率扩展到毫米波(mmWave)及以上时,散射可以成为一种突出的传播机制,但在其他时间可以被视为简单的反射。散射效应的知识对于适当和真实的信道模型至关重要,这将进一步支持大规模多输入多输出(MIMO)技术的发展、定位、光线追踪工具设计以及未来5G和6G无线系统的成像。
This paper provides an analysis of radio wave scattering for frequencies ranging from the microwave to the Terahertz band (e.g., 1 GHz–1 THz), by studying the scattering power reradiated from various types of materials with different surface roughnesses. First, fundamentals of scattering and reflection are developed and explained for use in wireless mobile radio, and the effect of scattering on the reflection coefficient for rough surfaces is investigated. Received power is derived using two popular scattering models — the directive scattering (DS) model and the radar cross section (RCS) model through simulations over a wide range of frequencies, materials, and orientations for the two models, and measurements confirm the accuracy of the DS model at 140 GHz. This paper shows that scattering can become a prominent propagation mechanism as frequencies extend to millimeter-wave (mmWave) and beyond, but at other times can be treated like simple reflection. Knowledge of scattering effects is critical for appropriate and realistic channel models, which further support the development of massive multiple input-multiple output (MIMO) techniques, localization, ray tracing tool design, and imaging for future 5G and 6G wireless systems.