142 GHz Sub-Terahertz Radio Propagation Measurements and Channel Characterization in Factory Buildings

Shihao Ju, Dipankar Shakya, Hitesh Poddar, Yunchou Xing, Ojas Kanhere, Theodore S. Rappaport

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents sub-Terahertz (THz) channel characterization and modeling for an indoor industrial scenario based on radio propagation measurements at 142 GHz in four factories. We selected 82 transmitter-receiver (TX-RX) locations in both line-of-sight (LOS) and non-LOS (NLOS) conditions and collected over 75,000 spatial and temporal channel impulse responses. The TX-RX distance ranged from 5 to 87 m. Steerable directional horn antennas were employed at both link ends and were switched between vertical and horizontal polarization. Measurements were conducted with low RX and high RX antenna heights of 0.5 m and 1.5 m to characterize the propagation channel for close-to-floor applications such as automated guided vehicles. Results show that the low RXs experience an average path loss increase of 10.7 dB and 6.0 dB at LOS and NLOS locations, respectively. In addition, channel enhancement measurements were conducted using a steerable large flat metal plate as a passive reflecting surface, demonstrating omnidirectional path loss reduction from 0.5 to 22 dB with a mean of 6.5 dB. This paper presents the first statistical channel characterization and path loss modeling for industrial scenarios at sub-THz frequencies, highlighting the potential for ultra-broadband factory communications in the 6G era.

Original languageEnglish (US)
Pages (from-to)7127-7143
Number of pages17
JournalIEEE Transactions on Wireless Communications
Volume23
Issue number7
DOIs
StatePublished - 2024

Keywords

  • 140 GHz
  • 5G
  • 6G
  • Reconfigurable intelligent surface (RIS)
  • Terahertz
  • channel measurement
  • channel modeling
  • indoor factory
  • passive reflecting surface (PRS)
  • radio propagation

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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