论文标题

300 GHz双频通道测量,分析和建模在L形走廊中

300 GHz Dual-Band Channel Measurement, Analysis and Modeling in an L-shaped Hallway

论文作者

Wang, Yiqin, Li, Yuanbo, Han, Chong, Chen, Yi, Yu, Ziming

论文摘要

Terahertz(THZ)频段(0.1-10 THZ)被设想为第六代(6G)和超越通信的有前途的光谱频段之一。在本文中,介绍了室内L形走廊中的双波段可抵抗的宽带通道测量,并分析了306-321 GHz和356-371 GHz的THZ通道特性。发现常规的关闭和alpha-beta路径损失模型不能很好地照顾非线(NLOS)案例中的大规模褪色,为此,提出了NLOS案例的修改后的Alpha-Beta路径损失模型,并在NLOS案例中针对Indoor和室外L形场景中的NLOS案例进行了验证。为了描述大规模和小规模的褪色,在THZ走道方案中提出了射线追踪(RT)统计混合通道模型。在混合模型中特别是混合通道模型中的确定性部分使用主要的多路径组件(MPC)的RT建模,即近-NLOS区域中的LOS和多动反射路径,而基于开发的固定统计统计模型,可以在远-NLOS位置进行主要MPC。不断发展的模型描述了NLOS区域中的到达角度的连续变化,功率和延迟的延迟。另一方面,非优势MPC是统计生成的。提出的混合方法降低了计算成本,并通过RT在Faros位置通过RT解决了不准确的MPC甚至缺失。

The Terahertz (THz) band (0.1-10 THz) has been envisioned as one of the promising spectrum bands for sixth-generation (6G) and beyond communications. In this paper, a dual-band angular-resolvable wideband channel measurement in an indoor L-shaped hallway is presented and THz channel characteristics at 306-321 GHz and 356-371 GHz are analyzed. It is found that conventional close-in and alpha-beta path loss models cannot take good care of large-scale fading in the non-line-of-sight (NLoS) case, for which a modified alpha-beta path loss model for the NLoS case is proposed and verified in the NLoS case for both indoor and outdoor L-shaped scenarios. To describe both large-scale and small-scale fading, a ray-tracing (RT)-statistical hybrid channel model is proposed in the THz hallway scenario. Specifically in the hybrid model, the deterministic part in hybrid channel modeling uses RT modeling of dominant multi-path components (MPCs), i.e., LoS and multi-bounce reflected paths in the near-NLoS region, while dominant MPCs at far-NLoS positions can be deduced based on the developed statistical evolving model. The evolving model describes the continuous change of arrival angle, power and delay of dominant MPCs in the NLoS region. On the other hand, non-dominant MPCs are generated statistically. The proposed hybrid approach reduces the computational cost and solves the inaccuracy or even missing of dominant MPCs through RT at far-NLoS positions.

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