Deterministic Ray Tracing: A Promising Approach to THz Channel Modeling in 6G Deployment Scenarios

Jianhua Zhang,, Jiaxin Lin, Pan Tang, Wei Fan, Zhiqiang Yuan, Ximan Liu, Huixin Xu, Yejian Lyu, Lei Tian, Ping Zhang

Research output: Contribution to journalJournal articleResearchpeer-review

2 Citations (Scopus)
808 Downloads (Pure)

Abstract

Terahertz (THz) communication is considered to be a key enabling technology for 6G due to its abundant available spectrum resources. One prerequisite for implementing THz communication systems is to understand and model the THz radio channel in 6G deployment scenarios. However, new radio characteristics
in THz bands (e.g., channel sparsity, near-field propagation, and large-scale antenna configuration) have brought new opportunities and challenges to channel modeling in terms of modeling complexity and accuracy. In this work, we aim to address these opportunities and challenges with the deterministic ray tracing
(RT) approach. First, the propagation characteristics in THz bands are discussed. We elaborate on why deterministic RT can be a promising approach to model the propagation characteristics in THz bands for 6G. Second, an RT-based channel modeling approach is presented, which uses channel measurement data to calibrate simulation parameters. Third, the performance of the RTbased
channel modeling approach is demonstrated through a comparison between simulations and channel measurements. The comparison results show that the RT-based channel modeling approach can well describe the propagation characteristics, i.e., the delay and spatial dispersion, channel sparsity, near-field propagation, and non-stationarity, with reduced simulation complexity in
THz bands.
Original languageEnglish
JournalI E E E Communications Magazine
Volume62
Issue number2
Pages (from-to)48-54
Number of pages7
ISSN0163-6804
DOIs
Publication statusPublished - 1 Feb 2024

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