GodeWithWind / GNN4SCMU

Deep Learning for Energy Efficient Beamforming in MU-MISO Networks: A GAT-based Approach

Deep Learning for Energy Efficient Beamforming in MU-MISO Networks: A GAT-based Approach

This repository contains all the test datasets used in our paper “Deep Learning for Energy Efficient Beamforming in MU-MISO Networks: A GAT-based Approach”.

Structures

+--- .gitignore
+--- .LICENSE
+--- dataset
|   +--- data_4n(4 antenna data set)
    |   +--- test_2u(4 Antenna 2 user data set)
|   +--- data_8n(8 antenna data set)
    |   +--- test_2u(8 Antenna 2 user data set)
    |   +--- test_2u(8 Antenna 3 user data set)
    |   +--- test_2u(8 Antenna 4 user data set)
|   +--- data_16n(16 antenna data set)
    |   +--- test_7u(16 Antenna 7 user data set)
    |   +--- test_8u(16 Antenna 8 user data set)
    |   +--- test_9u(16 Antenna 9 user data set)