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Analysis of Urban Millimeter Wave Microcellular NetworksYuyang Wang†, KiranVenugopal†, Andreas F. Molisch§,
and Robert W. Heath Jr. †
†The University of Texas at Austin §University of Southern California
The UT authors are funded by U.S. Department of Transportation through D-STOP Tier 1 University Transportation Center and Texas Department of Transportation project CAR-STOP. Dr. Molisch’s work is supported by NSF and Samsung.
[1] T. Bai and R. W. Heath Jr., “Coverage and rate analysis for millimeter wave cellular networks,” IEEE Trans. Wireless Comm., 2014.[2] M. Kulkarni, S. Singh, and J. G. Andrews. "Coverage and rate trends in dense urban mmwave cellular networks.” IEEE GlobeCom, 2014.[3] F. Baccelli, and X. Zhang. "A correlated shadowing model for urban wireless networks.” IEEE INFOCOM, 2015.[4] M. Farooq, H. ElSawy, and M. Alouini. "Modeling inter-vehicle communication in multi-lane highways: A stochastic geometry approach.” IEEE VTC fall, 2015.
Realistic urban microcell PL model and tractable V2I analysis framework
MmWave w/ blockage [1-2] V2V no mmWave [4]Manhattan no mmWave [3]
6A. F. Molisch, A. Karttunen, S. Hur, J. Park and J. Zhang, "Spatially consistent pathloss modeling for millimeter-wave channels in urban environments,” EUCAP, Davos, 2016, pp. 1-5.
PLdB(dL,DN) = 10↵L log10 dL + 10
X
d̃2DN
↵N log10˜d+M�
# corners
LoS segment: 1st segment of link
LoS PL exponent NLoS segments set: all segments except 1st
corner loss
NLoS PL exponent
Manhattan distance based PL modelEuclidean distance is NOT the right way to characterize pathloss