TY - JOUR
T1 - Millimeter Wave and Sub-Terahertz Spatial Statistical Channel Model for an Indoor Office Building
AU - Ju, Shihao
AU - Xing, Yunchou
AU - Kanhere, Ojas
AU - Rappaport, Theodore S.
N1 - Funding Information:
Manuscript received May 30, 2020; revised November 22, 2020 and February 19, 2021; accepted March 1, 2021. Date of publication April 23, 2021; date of current version May 18, 2021. This work was supported in part by NOKIA, in part by the NYU WIRELESS Industrial Affiliates Program, and in part by National Science Foundation (NSF) under Grant 1909206 and Grant 2037845. (Corresponding author: Shihao Ju.) The authors are with the NYU WIRELESS Research Center, NYU Tandon School of Engineering, New York University, Brooklyn, NY 11201 USA (e-mail: [email protected]; [email protected]; [email protected]; [email protected]).
Publisher Copyright:
© 1983-2012 IEEE.
PY - 2021/6
Y1 - 2021/6
N2 - Millimeter-wave (mmWave) and sub-Terahertz (THz) frequencies are expected to play a vital role in 6G wireless systems and beyond due to the vast available bandwidth of many tens of GHz. This paper presents an indoor 3-D spatial statistical channel model for mmWave and sub-THz frequencies based on extensive radio propagation measurements at 28 and 140 GHz conducted in an indoor office environment from 2014 to 2020. Omnidirectional and directional path loss models and channel statistics such as the number of time clusters, cluster delays, and cluster powers were derived from over 15,000 measured power delay profiles. The resulting channel statistics show that the number of time clusters follows a Poisson distribution and the number of subpaths within each cluster follows a composite exponential distribution for both LOS and NLOS environments at 28 and 140 GHz. This paper proposes a unified indoor statistical channel model for mmWave and sub-Terahertz frequencies following the mathematical framework of the previous outdoor NYUSIM channel models. A corresponding indoor channel simulator is developed, which can recreate 3-D omnidirectional, directional, and multiple input multiple output (MIMO) channels for arbitrary mmWave and sub-THz carrier frequency up to 150 GHz, signal bandwidth, and antenna beamwidth. The presented statistical channel model and simulator will guide future air-interface, beamforming, and transceiver designs for 6G and beyond.
AB - Millimeter-wave (mmWave) and sub-Terahertz (THz) frequencies are expected to play a vital role in 6G wireless systems and beyond due to the vast available bandwidth of many tens of GHz. This paper presents an indoor 3-D spatial statistical channel model for mmWave and sub-THz frequencies based on extensive radio propagation measurements at 28 and 140 GHz conducted in an indoor office environment from 2014 to 2020. Omnidirectional and directional path loss models and channel statistics such as the number of time clusters, cluster delays, and cluster powers were derived from over 15,000 measured power delay profiles. The resulting channel statistics show that the number of time clusters follows a Poisson distribution and the number of subpaths within each cluster follows a composite exponential distribution for both LOS and NLOS environments at 28 and 140 GHz. This paper proposes a unified indoor statistical channel model for mmWave and sub-Terahertz frequencies following the mathematical framework of the previous outdoor NYUSIM channel models. A corresponding indoor channel simulator is developed, which can recreate 3-D omnidirectional, directional, and multiple input multiple output (MIMO) channels for arbitrary mmWave and sub-THz carrier frequency up to 150 GHz, signal bandwidth, and antenna beamwidth. The presented statistical channel model and simulator will guide future air-interface, beamforming, and transceiver designs for 6G and beyond.
KW - 140 GHz
KW - 142 GHz
KW - 28 GHz
KW - 5G
KW - 6G
KW - Millimeter-wave
KW - NYUSIM
KW - channel measurement
KW - channel modeling
KW - channel simulation
KW - indoor office scenario
KW - radio propagation
KW - terahertz
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U2 - 10.1109/JSAC.2021.3071844
DO - 10.1109/JSAC.2021.3071844
M3 - Article
AN - SCOPUS:85104581472
SN - 0733-8716
VL - 39
SP - 1561
EP - 1575
JO - IEEE Journal on Selected Areas in Communications
JF - IEEE Journal on Selected Areas in Communications
IS - 6
M1 - 9411894
ER -