A Ray-tracing and Deep Learning Fusion Super-resolution Modeling Method for Wireless Mobile Channel
Author:
Affiliation:
1. Beijing Jiaotong University,State Key Laboratory of Rail Traffic Control and Safety,Beijing,China,100044
2. State Key Laboratory of Mobile Network and Mobile Multimedia Technology,Shenzhen,China,518055
Funder
Ministry of Education
ZTE Corporation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10132843/10132844/10133327.pdf?arnumber=10133327
Reference13 articles.
1. The Design and Applications of High-Performance Ray-Tracing Simulation Platform for 5G and Beyond Wireless Communications: A Tutorial
2. Predicting Wireless MmWave Massive MIMO Channel Characteristics Using Machine Learning Algorithms
3. Path loss prediction based on multi-layer perceptron artificial neural network;lina;Chinese Journal of Radio Science,2021
4. A Multi - Task Learning Model for Super Resolution of Wireless Channel Characteristics
5. Analysis of industrial internet of things and digital twins;tan;ZTE Communications,2021
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1. Spatio-Temporal Coherence of mmWave/THz Channel Characteristics and Their Forecasting Using Video Frame Prediction Techniques;Mathematics;2023-08-23
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