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

TL;DR

This paper presents a comprehensive study of 300 GHz dual-band indoor channel characteristics in an L-shaped hallway, proposing new models for large-scale fading and a hybrid RT-statistical channel model for improved accuracy and efficiency.

Contribution

It introduces a modified alpha-beta path loss model for NLoS conditions and a hybrid RT-statistical channel model that accurately captures both large-scale and small-scale fading in THz indoor environments.

Findings

Modified alpha-beta path loss model improves NLoS fading prediction.

Hybrid channel model reduces computational cost and improves accuracy.

Characterization of THz channel behavior in L-shaped indoor scenarios.

Abstract

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.