Extending Machine Learning Based RF Coverage Predictions to 3D
Author:
Affiliation:
1. Communications Research Centre Canada,Ottawa,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9886005/9885799/09887000.pdf?arnumber=9887000
Reference7 articles.
1. An Empirical Study on Using CNNs for Fast Radio Signal Prediction
2. Machine Learning-Based Radio Coverage Prediction in Urban Environments
3. mmWave Propagation Prediction using Hardware- Accelerated Monte Carlo Path Tracing
4. Prediction of local mean power using 2-D ray-tracing-based propagation models
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2. Overview of the First Pathloss Radio Map Prediction Challenge;IEEE Open Journal of Signal Processing;2024
3. Comparative Analysis of Machine Learning Algorithms for 5G Coverage Prediction: Identification of Dominant Feature Parameters and Prediction Accuracy;IEEE Access;2024
4. A Review of Coverage Predictions in Mobile Communication Systems using Machine Learning Algorithm;2023 17th International Conference on Telecommunication Systems, Services, and Applications (TSSA);2023-10-12
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