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

Simulates an FBMC and OFDM transmission over a doubly-selective channel. Allows to reproduce all figures from "Doubly-Selective Channel Estimation in FBMC-OQAM and OFDM Systems", IEEE VTC Fall, 2018

Channel Estimation for One-Bit Multiuser Massive MIMO Using Conditional GAN

Channel Estimation for MIMO OFDM Systems (LSE& MMSE)

Source code of the Paper "Diffusion-Based Generative Prior for Low-Complexity MIMO Channel Estimation"

This repository includes the source code of the LS-DNN based channel estimators proposed in "Enhancing Least Square Channel Estimation Using Deep Learning" paper that is published in the proceedings of the 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring) virtual conference.

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

6G Wireless Communication Security - Deep Learning Based Channel Estimation Dataset

This repository includes the source code of the STA-DNN and TRFI DNN channel estimators proposed in "Deep Learning Based Channel Estimation Schemes for IEEE 802.11 p Standard" and "Joint TRFI and Deep Learning for Vehicular Channel Estimation" papers that are published in the IEEE Access journal and the proceedings of the 2020 IEEE GLOBECOM Workshops, respectively.

This repository includes the source code of the DL-based symbol-by-symbol and frame-by-frame channel estimators proposed in "A Survey on Deep Learning Based Channel Estimation in Doubly Dispersive Environments" paper [1] that is published in the IEEE Access, 2022.

Channel estimations based on RLS, LMS and ML methods.

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

This repository includes the source code of the CNN-based channel estimators proposed in "CNN Aided Weighted Interpolation for Channel Estimation in Vehicular Communications" paper [1] that is published in the IEEE Transactions on Vehicular Technology, 2021.

Joint Channel Estimation and Nonlinear Distortion Compensation in OFDM Receivers (Bussgang-type receiver)

Data-Driven Channel Estimation Test Bed

This repository includes the source code of the LSTM-based channel estimators proposed in "Temporal Averaging LSTM-based Channel Estimation Scheme for IEEE 802.11 p Standard" paper that is published in the proceedings of the IEEE GLOBECOM 2022 conference that was held in Madrid (Spain).

Based on the SVR interpolation, a new method about the time-varying channel estimation of FBMC is proposed.

Research homepage

Implementation of "Massive MIMO Channel Estimation with an untrained deep neural network"

CLI & GUI Application for Millimeter Wave Channel Estimation Simulation

Code for "Impact Analysis of Antenna Array Geometry on Performance of Semi-blind Structured Channel Estimation for massive MIMO-OFDM systems", IEEE SSP, Hanoi, Vietnam, Jul. 2023

Channel Estimation and Joint Beamforming Design for Multi-IRS MIMO systems

Implementation of the Paper "Channel Estimation for Quantized Systems based on Conditionally Gaussian Latent Models".

Channel Estimation and Performance Evaluation of Multi-IRS Aided MIMO Communication System

This is the code implementation for the RC-Flow algorithm.

Estimating unknown static channel coefficients on a communication system utilizing Maximum Likelihood Single-Shot Estimation algorithm.

Source code for the Diploma Thesis "Evaluation of Extreme Learning Machine as Channel Equalizer for Color-Shift Keying-Based Visible Light Communication Systems Employed in Underground Mining Scenarios", for the fulfillment of the Electrical Engineer Professional Title at the Universidad de Chile.

Code for "ISDNN: A Deep Neural Network for Channel Estimation in Massive MIMO systems," Hanoi University of Industry Journal of Science and Technology, vol. 60, no. 11, pp. 48-54, Nov. 2024.

Continual Learning for Wireless Channel Prediction

This project presents different signal processing methods for signal filtering and cleaning, and channel estimation.