Machine Learning-Based Urban Canyon Path Loss Prediction Using 28 GHz Manhattan Measurements
Author:
Affiliation:
1. Engineering and Physical Science (EPS) Department, Heriot-Watt University, Edinburgh, U.K
2. Nokia Bell Laboratories, Murray Hill, NJ, USA
Funder
U.K. Engineering and Physical Sciences Research Council
Doctoral Training Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/8/9794936/09722715.pdf?arnumber=9722715
Reference55 articles.
1. Millimeter wave propagation: spectrum management implications
2. Calibration of Ray-Tracing With Diffuse Scattering Against 28-GHz Directional Urban Channel Measurements
3. Cell Coverage Analysis of 28 GHz Millimeter Wave in Urban Microcell Environment Using 3-D Ray Tracing
4. An Overview of Machine Learning Techniques for Radiowave Propagation Modeling
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