Machine Learning-Assisted Path Loss Prediction Across Multiple Frequency Bands using a Multi-Fidelity Surrogate Model
Author:
Affiliation:
1. Southeast University,State Key Laboratory of Millimeter Waves,Nanjing,China,210096
2. China Mobile Group Design Institute Co., Ltd., China Mobile Communications Group Co., Ltd.,Beijing,China,100080
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10221938/10221896/10222265.pdf?arnumber=10222265
Reference6 articles.
1. Multistage Collaborative Machine Learning and its Application to Antenna Modeling and Optimization
2. Path Loss Prediction Based on Machine Learning: Principle, Method, and Data Expansion
3. Nonlinear information fusion algorithms for data-efficient multi-fidelity modelling
4. Multipath Similarity Index Measure Across Multiple Frequency Bands
5. Millimetre wave channel modeling based on grey genetic optimization model
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