A comprehensive survey on terahertz channel measurement, modeling, and analysis

doi:10.12267/j.issn.2096-5931.2022.09.005

Abstract

Abstract:

Terahertz (0.1~10 THz) communications are envisioned as a key technology for sixth generation (6G) wireless systems. The study of underlying THz wireless propagation channels provides the foundations for the development of reliable THz communication systems and their applications. This article provides a comprehensive overview of the study of THz wireless channels. First, the three most popular THz channel measurement methodologies, namely, frequency-domain channel measurement based on a vector network analyzer (VNA), time-domain channel measurement based on sliding correlation, and time-domain channel measurement based on THz pulses from time-domain spectroscopy (THz-TDS), are introduced and compared. Then, existing channel modeling methodologies are categorized into deterministic, stochastic, and hybrid approaches. Next, an in-depth review of channel characteristics in the THz band is presented. Finally, open problems and future research directions for research studies on THz wireless channels for 6G are elaborated.

Key words: terahertz communications, channel measurements, channel simulators, channel models, channel characterization

CLC Number:

TN929.11

LI Yuanbo, WANG Yiqin, HAN Chong. A comprehensive survey on terahertz channel measurement, modeling, and analysis[J]. Information and Communications Technology and Policy, 2022, 48(9): 34-49.

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http://ictp.caict.ac.cn/EN/10.12267/j.issn.2096-5931.2022.09.005

http://ictp.caict.ac.cn/EN/Y2022/V48/I9/34

Figures/Tables 10

References 70

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测量系统种类	基于矢网的测量系统	基于滑动相关法的测量系统	直接脉冲测量系统
测量域	频域	时域	时域
测量距离	受限于线缆连接	受限于传播衰减	受限于脉冲功率
收发机有线连接	需要	不需要	需要
收发机同步	有线连接保证同步	需要	需要
测量带宽	大(≥10 GHz)	小(<10 GHz)	超大(<10 THz)
测量速度	慢	快	很快
复杂度	低	高	中等

测量系统种类	基于矢网的测量系统	基于滑动相关法的测量系统	直接脉冲测量系统
测量域	频域	时域	时域
测量距离	受限于线缆连接	受限于传播衰减	受限于脉冲功率
收发机有线连接	需要	不需要	需要
收发机同步	有线连接保证同步	需要	需要
测量带宽	大(≥10 GHz)	小(<10 GHz)	超大(<10 THz)
测量速度	慢	快	很快
复杂度	低	高	中等

方法	确定性建模		随机性建模	混合建模
方法	RT	FDTD	随机性建模	RT-FDTD	确定-随机混合
优点	高精度	超高精度	低复杂度	高精度	精度与复杂度适中
优点	复杂度适中	高空间分辨率	高泛用性	高精度	泛用性强
缺点	需要详细的环境信息		低精确性	需要环境和材料信息	依赖大量测量结果来参数化
缺点	—	计算资源消耗大	低精确性	需要环境和材料信息	依赖大量测量结果来参数化
适用场景	室内、移动场景、UM-MIMO	设备内部通信、片上通信	室内、室外、移动场景	室内、设备内部通信	室内、室外、移动场景、UM-MIMO

方法	确定性建模		随机性建模	混合建模
方法	RT	FDTD	随机性建模	RT-FDTD	确定-随机混合
优点	高精度	超高精度	低复杂度	高精度	精度与复杂度适中
优点	复杂度适中	高空间分辨率	高泛用性	高精度	泛用性强
缺点	需要详细的环境信息		低精确性	需要环境和材料信息	依赖大量测量结果来参数化
缺点	—	计算资源消耗大	低精确性	需要环境和材料信息	依赖大量测量结果来参数化
适用场景	室内、移动场景、UM-MIMO	设备内部通信、片上通信	室内、室外、移动场景	室内、设备内部通信	室内、室外、移动场景、UM-MIMO