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Channel models describe how wireless channel parameters behave in a givenscenario, and help evaluate link- and system-level performance. A properchannel model should be able to faithfully reproduce the channel parametersobtained in field measurements and accurately predict the spatial and temporalchannel impulse response along with large-scale fading. This paper compares twopopular channel models for next generation wireless communications: the 3rdGeneration Partnership Project (3GPP) TR 38.900 Release 14 channel model andthe statistical spatial channel model NYUSIM developed by New York University(NYU). The two channel models employ different modeling approaches in manyaspects, such as the line-of-sight probability, path loss, and clusteringmethodology. Simulations are performed using the two channel models to analyzethe channel eigenvalue distribution and spectral efficiency leveraging theanalog/digital hybrid beamforming methods found in the literature. Simulationresults show that the 3GPP model produces different eigenvalue and spectralefficiency distributions for mmWave bands, as compared to the outcome fromNYUSIM that is based on massive amounts of real-world measured data in New YorkCity. This work shows NYUSIM is more accurate for realistic simulations than3GPP in urban environments.

Investigation and Comparison of 3GPP and NYUSIM Channel Models for 5G Wireless Communications