AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (7.3 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Open Access | Just Accepted

3GPP-Like GBSM THz Channel Characterization, Modeling, and Simulation Based on Experimental Observations

Zhaowei Chang1Jianhua Zhang1( )Pan Tang1Lei Tian1Hao Jiang2Ximan Liu1Guangyi Liu3

1 State Key Lab of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China

2 Nanjing University of Information Science and Technology, Nanjing 210044, China

3 China Mobile Research Institute, Beijing 100053, China

Show Author Information

Abstract

To evaluate the performance of THz communication for 6G, it is essential to propose THz channel models within the common framework of the geometry-based stochastic model (GBSM) in the 3rd Generation Partnership Project (3GPP). This paper focuses on THz channel modeling and simulation by a 3GPP-like GBSM, based on channel measurements. We first present channel measurements at 100 GHz in an indoor office scenario and 132 GHz in an urban microcellular scenario. Subsequently, channel characteristics such as path loss, delay spread, angle spread, K-factor, cluster characteristic, cross-correlations, and correlation distances are obtained and analyzed based on channel measurement. Additionally, the channel characteristics are modeled by the statistical distribution of 3GPP channel models, which can be used to reconstruct the channel impulse response (CIR). Furthermore, these obtained distributions are studied referring to the default models in the 3GPP, revealing the channel sparsity in the THz channel. For instance, in the case of line-of-sight links in the indoor office, the mean of the measured cluster number is 4 while the default value is 15. Finally, we propose the THz channel model and its simulation framework to reconstruct CIRs based on the obtained models, which aim at characterizing the sparser THz channels. The obvious channel sparsity is characterized in both scenarios, as the Gini factors obtained by the proposed model only have the maximum deviation of 0.04 for those of the measurement. Overall, these findings are helpful in understanding and modeling the THz channel, facilitating the application of THz communication techniques for 6G.

Tsinghua Science and Technology
Cite this article:
Chang Z, Zhang J, Tang P, et al. 3GPP-Like GBSM THz Channel Characterization, Modeling, and Simulation Based on Experimental Observations. Tsinghua Science and Technology, 2025, https://doi.org/10.26599/TST.2024.9010237

241

Views

66

Downloads

0

Crossref

0

Web of Science

0

Scopus

0

CSCD

Altmetrics

Received: 09 October 2024
Revised: 07 November 2024
Accepted: 23 November 2024
Available online: 02 January 2025

© The author(s) 2025.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).

Return