A Novel Stochastic Channel Model for WPAN Short-Range Scenarios Based on 3GPP Framework and LoS Multipath Measurements at 105 GHz
This paper presents a novel stochastic channel model (SCM) for wireless personal area network (WPAN) short-range scenarios based on the third-generation partnership project (3GPP) framework and line-of-sight (LoS) multipath measurements at 105 GHz with a 4 GHz bandwidth channel sounder. We derive the statistical distributions of large- and small-scale parameters in a conference room desktop, corridor, and office room for the WPAN usage. The ranges of transmitter (TX)–receiver (RX) distances are 0.7–4 m, 1–5 m, and 2–5 m, respectively. We conducted measurements at eight RX positions in the conference room and the corridor, and four RX positions in the office room. The TX and RX were placed at a height of 0.15 m from the table in the conference and office rooms, and at a height of 1.3 m from the floor in corridors. Our primary objective is to enable high-speed WPAN indoor communications in the sub-terahertz (THz) band and align the physical layer waveform of the WPAN systems with 3GPP's 5G standard to promote broader commercial adoption. Hence, in this paper, we propose a channel simulation framework based on the well-accepted 3GPP SCM, thereby facilitating seamless system design and evaluation—even within the 3GPP community. The proposed SCM is validated based on extensive channel generation simulations by demonstrating the consistency of the generated channel responses with our propagation channel measurements.
Authors
- Yusuke Koda (ORCID: https://orcid.org/0000-0003-3344-7370)
- Norichika Ohmi
- Hiroshi Harada (ORCID: https://orcid.org/0000-0001-5904-7987)
- Mihiro Hashimoto
- Hiroaki Endo
Institutions
- Kyoto University (JP)
- Kyoto College of Graduate Studies for Informatics (JP)
Publication Details
- Journal
- IEEE Open Journal of Vehicular Technology
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/ojvt.2025.3584903
- Citations
- 1
- Primary Topic
- Advanced MIMO Systems Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.73