TY - JOUR
T1 - Small-Scale, Local Area, and Transitional Millimeter Wave Propagation for 5G Communications
AU - Rappaport, Theodore S.
AU - MacCartney, George R.
AU - Sun, Shu
AU - Yan, Hangsong
AU - Deng, Sijia
N1 - Funding Information:
Manuscript received December 20, 2016; revised April 13, 2017; accepted May 12, 2017. Date of publication August 1, 2017; date of current version November 30, 2017. This work was supported in part by the NYU WIRELESS Industrial Affiliates Program, in part by NSF under Grant 1320472, Grant 1302336, and Grant 1555332, and in part by Nokia. (Corresponding author: Theodore S. Rappaport.) The authors are with the NYU WIRELESS Research Center, New York University Tandon School of Engineering, Brooklyn, NY 11201 USA (e-mail: tsr@nyu.edu).
Publisher Copyright:
© 1963-2012 IEEE.
PY - 2017/12
Y1 - 2017/12
N2 - This paper studies radio propagation mechanisms that impact handoffs, air interface design, beam steering, and multiple-input multiple-output for 5G mobile communication systems. Knife-edge diffraction (KED) and a creeping wave linear model are shown to predict diffraction loss around typical building objects from 10 to 26 GHz, and human blockage measurements at 73 GHz are shown to fit a double KED model, which incorporates antenna gains. Small-scale spatial fading of millimeter wave (mmWave)-received signal voltage amplitude is generally Ricean-distributed for both omnidirectional and directional receive antenna patterns under both line-of-sight (LOS) and non-line-of-sight (NLOS) conditions in most cases, although the log-normal distribution fits measured data better for the omnidirectional receive antenna pattern in the NLOS environment. Small-scale spatial autocorrelations of received voltage amplitudes are shown to fit sinusoidal exponential and exponential functions for LOS and NLOS environments, respectively, with small decorrelation distances of 0.27-13.6 cm (smaller than the size of a handset) that are favorable for spatial multiplexing. Local area measurements using cluster and route scenarios show how the received signal changes as the mobile moves and transitions from LOS to NLOS locations, with reasonably stationary signal levels within clusters. Wideband mmWave power levels are shown to fade from 0.4 dB/ms to 40 dB/s, depending on travel speed and surroundings.
AB - This paper studies radio propagation mechanisms that impact handoffs, air interface design, beam steering, and multiple-input multiple-output for 5G mobile communication systems. Knife-edge diffraction (KED) and a creeping wave linear model are shown to predict diffraction loss around typical building objects from 10 to 26 GHz, and human blockage measurements at 73 GHz are shown to fit a double KED model, which incorporates antenna gains. Small-scale spatial fading of millimeter wave (mmWave)-received signal voltage amplitude is generally Ricean-distributed for both omnidirectional and directional receive antenna patterns under both line-of-sight (LOS) and non-line-of-sight (NLOS) conditions in most cases, although the log-normal distribution fits measured data better for the omnidirectional receive antenna pattern in the NLOS environment. Small-scale spatial autocorrelations of received voltage amplitudes are shown to fit sinusoidal exponential and exponential functions for LOS and NLOS environments, respectively, with small decorrelation distances of 0.27-13.6 cm (smaller than the size of a handset) that are favorable for spatial multiplexing. Local area measurements using cluster and route scenarios show how the received signal changes as the mobile moves and transitions from LOS to NLOS locations, with reasonably stationary signal levels within clusters. Wideband mmWave power levels are shown to fade from 0.4 dB/ms to 40 dB/s, depending on travel speed and surroundings.
KW - Channel transition
KW - diffraction
KW - human blockage
KW - millimeter wave (mmWave)
KW - mobile propagation
KW - multiple-input multiple-output (MIMO)
KW - propagation
KW - small-scale fading
KW - spatial autocorrelation
KW - spatial consistency
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U2 - 10.1109/TAP.2017.2734159
DO - 10.1109/TAP.2017.2734159
M3 - Article
AN - SCOPUS:85028470120
SN - 0018-926X
VL - 65
SP - 6474
EP - 6490
JO - IEEE Transactions on Antennas and Propagation
JF - IEEE Transactions on Antennas and Propagation
IS - 12
M1 - 7999256
ER -