Prediction of Indoor Wireless Coverage from 3D Floor Plans Using Deep Convolutional Neural Networks

Yaqoob Ansari, Nouha Tiyal,Eduardo Feo-Flushing,Saquib Razak

2021 IEEE 46th Conference on Local Computer Networks (LCN)（2021）

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摘要

With significant advancements in Machine Learning and Deep Learning, Convolutional Neural Networks (CNNs) have shown promising results in handling classification and regression problems. We present 3DRSSNet, a model that can predict the signal strength of an Access point in a 3-D environment based on the 3-D floor map of the building. Our deep CNN approach differs from previous work in that (i) it...

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关键词

Deep learning,Wireless communication,Solid modeling,Three-dimensional displays,Working environment noise,Predictive models,Prediction algorithms

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