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2 - Estimating Channel Characteristics from Measurements

Published online by Cambridge University Press:  18 August 2022

Edited by
Theodore S. Rappaport ,
Kate A. Remley ,
Camillo Gentile ,
Andreas F. Molisch  and
Alenka Zajić
Theodore S. Rappaport
Affiliation:
New York University
Kate A. Remley
Affiliation:
National Institute of Standards and Technology, Maryland
Camillo Gentile
Affiliation:
National Institute of Standards and Technology, Maryland
Andreas F. Molisch
Affiliation:
University of Southern California
Alenka Zajić
Affiliation:
Georgia Institute of Technology
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Summary

The 5G mmWave Channel Model Alliance was formed to take a longer view by addressing issues related to measurement and modeling that impede progress in standards development and hardware optimization. There is a strong link between the modeling and measurement communities. The extent to which the sounder captures the channel’s features will depend on the hardware employed and how well that hardware works, which is why verification is the focus of the first part of this book. The second part of this book describes the main mmWave models that have been presented in the literature, including tapped delay-line stochastic models, geometry-based stochastic channel models, and quasi-deterministic models.

Keywords

5G mmWave Channel Model Alliancechannel measurementchannel modeling
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Radio Propagation Measurements and Channel Modeling: Best Practices for Millimeter-Wave and Sub-Terahertz Frequencies , pp. 5 - 13
Publisher: Cambridge University Press
Print publication year: 2022

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