Machine Learning Building Recognition For Capacity And Rf Coverage

2020 IEEE INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION AND NORTH AMERICAN RADIO SCIENCE MEETING（2020）

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摘要

This paper describes a method of using Machine Learning (ML) to automatically recognize buildings from 2-d images and subsequently create 3-d objects for ray tracing and wireless system analyses. The accuracy of the building recognition by ML is assessed via the capacity of MIMO wireless systems in the resultant propagation environment.

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关键词

Machine Learning, Ray Tracing, MIMO, Capacity

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