Graph Neural Network enabled Propagation Graph Method for Channel Modeling
Channel modeling is considered as a fundamental step in the design, deployment, and
optimization of vehicular wireless communication systems. For typical vehicular …
optimization of vehicular wireless communication systems. For typical vehicular …
[HTML][HTML] Mobile Network Coverage Prediction Using Multi-Modal Model Based on Deep Neural Networks and Semantic Segmentation
S Zeng, Y Ji, W Chen, L Yan, X Zhao - Sensors, 2024 - mdpi.com
A coverage prediction model helps network operators find coverage gaps, plan base station
locations, evaluate quality of service, and build radio maps for spectrum sharing …
locations, evaluate quality of service, and build radio maps for spectrum sharing …
A High-Accuracy Deep Back-Projection CNN-Based Propagation Model for Tunnels
This letter proposes a high-accuracy deep back-projection convolutional neural network
(DBPCNN)-based propagation model for radio wave prediction in long guiding structures …
(DBPCNN)-based propagation model for radio wave prediction in long guiding structures …
A Preliminary Indoor Assessment of a Sub-THz Channel Characterizations between 500 GHz and 750 GHz
The sub-THz frequency has sparked significant interest in characterizing wireless radio
propagation channels beyond 5G communications. However, there is limited research and …
propagation channels beyond 5G communications. However, there is limited research and …