Application of graph-structured data for forecasting the dynamics of time series of natural origin
V Bobakov, S Kuzmin, A Butorova… - The European Physical …, 2024 - Springer
The study aimed to compare graph and non-graph methods in the task of forecasting the
dynamics of time series of natural origin. Non-graph methods were represented by long …
dynamics of time series of natural origin. Non-graph methods were represented by long …
Next-slot OFDM-CSI Prediction: Multi-head Self-attention or State Space Model?
The ongoing fifth-generation (5G) standardization is exploring the use of deep learning (DL)
methods to enhance the new radio (NR) interface. Both in academia and industry …
methods to enhance the new radio (NR) interface. Both in academia and industry …
Comparison of Beamforming Algorithms in 5G Mobile Scenarios
H Zhu, K Huang, W Zhao, L Xiao… - 2024 IEEE 17th …, 2024 - ieeexplore.ieee.org
Beamforming technology is a key technology of 5G, which can effectively improve the
spectrum efficiency and system capacity through the aggregation of the transmitted signal …
spectrum efficiency and system capacity through the aggregation of the transmitted signal …
AI-Based Wireless Channel Prediction-Generalized Models for Adaptive Measurements and Predictions
B Chen - 2024 - odr.chalmers.se
In wireless communication systems, channels can be time-varying, and their conditions can
change due to factors such as mobility, interference, and environmentalconditions, which …
change due to factors such as mobility, interference, and environmentalconditions, which …