⚠️ Archived Repository Notice

This repository has been archived and is no longer maintained. It contains code for DeepMIMOv2.

All future versions are now maintained in a new unified repository, with DeepMIMOv4 in pre-release:

👉 DeepMIMO Unified Repository

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Examples Repository

In this repository, you can find simple examples for DeepMIMOv2 MATLAB, python and 5G NR versions.

Available Paper Implementations with DeepMIMO dataset

Below, we provide the list of papers that use DeepMIMO dataset and have an available implementation.

Paper	Details	Scenario
Deep Learning Coordinated Beamforming for Highly-Mobile Millimeter Wave Systems	link	O1_60
Enabling Large Intelligent Surfaces With Compressive Sensing and Deep Learning	link	O1_3p5 O1_28
Deep Learning for TDD and FDD Massive MIMO: Mapping Channels in Space and Frequency	link	I1_2p4 I1_2p5
Deep Learning for Direct Hybrid Precoding in Millimeter Wave Massive MIMO Systems	link	O1_60
Channel Estimation for Massive MIMO with One-Bit ADCs	link	I1_2p4
Deep Learning for mmWave Beam and Blockage Prediction Using Sub-6 GHz Channels	link	O1_3p5 O1_28
Deep Reinforcement Learning for Intelligent Reflecting Surfaces: Towards Standalone Operation	link	O1_3p5
Neural networks based beam codebooks: learning mmWave massive MIMO beams that adapt to deployment and hardware	link	O1_28 I2_28B
Reinforcement Learning of Beam Codebooks in Millimeter Wave and Terahertz MIMO Systems	link	O1_60 I2_28B