Analysis of deep learning based path loss prediction from satellite images
Determining the channel model parameters of a wireless communication system, either by
measurements or by running electromagnetic propagation simulations, is a time-consuming …
measurements or by running electromagnetic propagation simulations, is a time-consuming …
Regression of large-scale path loss parameters using deep neural networks
Path loss exponent and shadowing factor are among important wireless channel
parameters. These parameters can be estimated using field measurements or ray-tracing …
parameters. These parameters can be estimated using field measurements or ray-tracing …
Impact of Environmental Granularity on CNN-Based Wireless Channel Prediction
Accurate wireless channel models are essential in design and optimization of wireless
communication systems. Deep learning provides a promising approach for wireless channel …
communication systems. Deep learning provides a promising approach for wireless channel …
CNN-Based Path Loss Prediction with Enhanced Satellite Images
Precise path loss models play a crucial role in design and optimization of wireless
communication systems, requiring a careful balance between accuracy and efficiency. Deep …
communication systems, requiring a careful balance between accuracy and efficiency. Deep …
Evaluation of characteristics for NN and CNN in path loss prediction
N Kuno, W Yamada, M Inomata… - … on Antennas and …, 2021 - ieeexplore.ieee.org
In path loss prediction, recently machine learning approaches such as the convolutional
neural network (CNN) have been attracting interest. Various models have been proposed …
neural network (CNN) have been attracting interest. Various models have been proposed …
Predicting path loss distribution of an area from satellite images using deep learning
Path loss prediction is essential for network planning in any wireless communication system.
For cellular networks, it is usually achieved through extensive received signal power …
For cellular networks, it is usually achieved through extensive received signal power …
Channel Path Loss Prediction Using Satellite Images: A Deep Learning Approach
With the advancement of communication technology, there is a higher demand for high-
precision and high-generalization channel path loss models as it is fundamental to …
precision and high-generalization channel path loss models as it is fundamental to …
Deep learning-based signal strength prediction using geographical images and expert knowledge
Methods for accurate prediction of radio signal quality parameters are crucial for
optimization of mobile networks, and a necessity for future autonomous driving solutions …
optimization of mobile networks, and a necessity for future autonomous driving solutions …
Deep learning and channel estimation
Deep Learning has rendered overwhelming potential to support the rising interest of high
dependability and maximum capacity wireless communication systems. Channel estimation …
dependability and maximum capacity wireless communication systems. Channel estimation …
Model-aided deep learning method for path loss prediction in mobile communication systems at 2.6 GHz
Accurate channel models are essential to evaluate mobile communication system
performance and optimize coverage for existing deployments. The introduction of various …
performance and optimize coverage for existing deployments. The introduction of various …