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95 GHz Indoor Propagation Measurement and Statistically Enhanced 3GPP Channel Model for Sub-THz Indoor Short-Range Communications
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  • Yusuke Koda,
  • Norichika Ohmi,
  • Hiroaki Endo,
  • Hiroshi Harada
Yusuke Koda
Graduate School of Informatics, Kyoto University

Corresponding Author:koda@i.kyoto-u.ac.jp

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Norichika Ohmi
Graduate School of Informatics, Kyoto University
Hiroaki Endo
Graduate School of Informatics, Kyoto University
Hiroshi Harada
Graduate School of Informatics, Kyoto University
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Abstract

This study presents a 95 GHz indoor channel measurement campaign for a short-range communication scenario and proposes an improved intra-cluster stochastic channel generation procedure compatible with the well-known 3GPP stochastic channel model (SCM). The current 3GPP SCM casts itself to apply to the frequency range up to 100 GHz; however, there is no measurement-based validation for this upper limit because of the lack of measurement campaign for 90 GHz–100 GHz. Moreover, the 3GPP SCM generates the characteristics of intra-cluster subpath parameters equally to all clusters in terms of the number of clusters and per-cluster delay spread, falling short of capturing real channel characteristics, particularly for the usage of large bandwidth. Motivated by the first limitation, we holistically derive the statistical parameters of the 95 GHz channel propagation characteristics in a simple conference room scenario and compare these parameters with our 60 GHz channel measurement results in a similar environment. This investigation confirms the feasibility of the 60 GHz statistical parameters generalized for the 95 GHz band at least in the measured scenario. Moreover, to solve the second issue, we propose an unequal intra-cluster subpath generation procedure, serving as a 3GPPcompatible amendment for accurate channel generation. Numerical evaluation reveals the feasibility of generating channel impulse responses capturing more accurate intra-cluster subpath characteristics than the current 3GPP SCM.