There are 9 repositories under mimo topic.
无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL
[CVPR 2024 Oral - Best paper award candidate] Official repository of "PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness"
A simple example with how hybrid beamforming is employed at the transmit end of a massive MIMO communications system.
:satellite: Using Software Designed Radio to transmit MIMO-OFDM QPSK signals at 5 GHz
Optimization algorithms for hybrid precoding in mmWave MIMO systems: Version 1.1.0
Realization of MIMO-NOMA signal detection system based on **C. Lin et al., “A deep learning approach for MIMO-NOMA downlink signal detection,” MDPI Sensors, vol. 19, no. 11, pp. 2526, 2019.
Channel Estimation for MIMO OFDM Systems (LSE& MMSE)
Subspace methods for MIMO system identification
Numerical simulation platform to evaluate the perfomances of a 480 Gb/s optical coherent communication system using different advanced technologies deployed in optical networks, including MIMO equalization techniques.
Repository for the models and code used in "UE Tracking Beamforming using a MIMO Software-Defined Radio" MSc project.
The simulation of paper: Joint Cooperation Clustering and Content Caching in Cell-Free Massive MIMO Networks
Source code for "Space-time design for deep joint source channel coding of images Over MIMO channels", SPAWC 2023, https://ieeexplore.ieee.org/document/10304536
Scripts for the "ITU-ML5G-PS-006: ML5G-PHY-Reinforcement learning: scheduling and resource allocation"
Implementation of "Over-the-Air Design of GAN Training for mmWave MIMO Channel Estimation"
5G Tookit provides a rich set of 3GPP standards compliant modules and libraries. These modules can be used for reseach and development on physical channels and procedures in uplink and downlink communication.
A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection in OFDM Systems
Low-Complexity Precoding for Extremely Large-Scale MIMO Over Non-Stationary Channels
A web crawler that uses Firefox and js injection to interact with webpages and crawl their content, written in nodejs.
Simulation code for "T. Fath and H. Haas, Performance Comparison of MIMO Techniques for Optical Wireless Communications in Indoor Environments, in IEEE Transactions on Communications, vol. 61, no. 2, pp. 733-742, February 2013."
Simulating Massive MIMO and Small Cells
Source code for the EMNLP 2019 paper "Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text" (给定科研文本如生物医药文献,联合抽取其中事实三元组、条件三元组,即对文献进行信息结构化)
Simulation code for "Achievable Rate Maximization for Underlay Spectrum Sharing MIMO System with Intelligent Reflecting Surface," by V. Kumar, M. F. Flanagan, R. Zhang, and L. -N. Tran, IEEE Wireless Communications Letters, 2022, doi: 10.1109/LWC.2022.3180988.
Matlab codes for the paper "Efficient Cell-Specific Beamforming for Large Antenna Arrays" by Max Girnyk and Sven Petersson, IEEE Transactions on Communications, vol. 69, no. 12, pp. 8429-8442, 2021.
Source Code for Paper "Augmenting Channel Charting with Classical Wireless Source Localization Techniques"
Official implementation of "RE-MIMO: Recurrent and Permutation Equivariant Neural MIMO Detection" paper.
This is the Matlab code for the paper "Denoising Higher-Order Moments for Blind Digital Modulation Identification in Multiple-Antenna Systems" published in the IEEE Wireless Communications Letters.
Matlab codes for the paper "Deep-Learning Based Linear Precoding for MIMO Channels with Finite-Alphabet Signaling" by Max Girnyk, Physical Communication, vol. 48, 101402, Oct. 2021.
A phase synchronizer for multiple SDR devices
Implementation of "Massive MIMO Channel Estimation with an untrained deep neural network"
Multi-device support module for SoapySDR
This is a python simulation of a MIMO communication system, including M-QAM modulation and demodulation.
Channel Estimation and Joint Beamforming Design for Multi-IRS MIMO systems
Numerical simulation platform to evaluate the performances of a 480 Gb/s optical coherent communication system using different advanced technologies deployed in optical networks, including MIMO equalization techniques.
Air-quality forecasting in Belgium using Deep Neural Networks, Neuroevolution and distributed Island Transpeciation