Acceso abierto

Graph Convolutional Neural Network-based Modeling of Ultra-Scale MIMO Channels in 6G Networks

,  y   
19 mar 2025

Cite
Descargar portada

Figure 1.

Comparison between far-field plane waves and near-field spherical waves
Comparison between far-field plane waves and near-field spherical waves

Figure 2.

Stable massive MIMO
Stable massive MIMO

Figure 3.

Spatially non-stationary super large-scale MIMO
Spatially non-stationary super large-scale MIMO

Figure 4.

Schematic diagram of using neural networks for channel modeling
Schematic diagram of using neural networks for channel modeling

Figure 5.

Self-learning super large scale MIMO channel modeling flowchart based on GCN
Self-learning super large scale MIMO channel modeling flowchart based on GCN

Figure 6.

Geometric deployment of antenna array
Geometric deployment of antenna array

Figure 7.

Time self-associated function
Time self-associated function

Figure 8.

The impact simulation of spatial correlation varies from different angles
The impact simulation of spatial correlation varies from different angles

Figure 9.

Evolution of clusters along the array avis
Evolution of clusters along the array avis

Figure 10.

Normalized channel strength
Normalized channel strength

Figure 11.

Delay extension verification of S band and Ka band
Delay extension verification of S band and Ka band

Figure 12.

Extended extension of the S band and the Ka band from different angles
Extended extension of the S band and the Ka band from different angles

Figure 13.

The PDP schematic of the S band and Ka band
The PDP schematic of the S band and Ka band