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"

Simulation of Digital Communication (physical layer) in Python.

A simple example with how hybrid beamforming is employed at the transmit end of a massive MIMO communications system.

📡 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.

A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection in OFDM Systems

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

Implementation of "Over-the-Air Design of GAN Training for mmWave MIMO Channel Estimation"

Scripts for the "ITU-ML5G-PS-006: ML5G-PHY-Reinforcement learning: scheduling and resource allocation"

Source Code for Paper "Augmenting Channel Charting with Classical Wireless Source Localization Techniques"

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.

Real-Time Inference of 5G NR Multi-user MIMO Neural Receivers

Low-Complexity Precoding for Extremely Large-Scale MIMO Over Non-Stationary Channels