Kim jinwook's Projects
Codes for reproducing the numerical results reported in: "Accelerated Randomized Methods for Receiver Design in Extra-Large Scale MIMO Arrays" by Victor Croisfelt, Abolfazl Amiri, Taufik Abrão, Elisabeth de Carvalho and Petar Popovski.
Adaptive MIMO equalizer for Tx impairments
TF Code for "Wireless Image Transmission Using Deep Source Channel Coding with Attention Modules"
Autoencoder-Based Enhanced Orthogonal Time Frequency Space Modulation
Age and Values based Communication and Control
A Java example for Antlr4
Reinforcement learning based scheduling algorithm for optimizing AoI in URLLC networks
Related paper
The code here can be used to train a Transformer Neural Network to perform symbol recovery at the receiver end.
Source code and well-trained models of AttentionCode
IMPL Autoencoder(AE) using Keras
Tensorflow Implementation and result of Auto-encoder Based Communication System From Research Paper : "An Introduction to Deep Learning for the Physical Layer" http://ieeexplore.ieee.org/document/8054694/
This is my attempt to reproduce and extend the results in the paper "An Introduction to Deep Learning for the Physical Layer" by Tim O'Shea and Jakob Hoydis
This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.
Code for the paper: "BottleNet++: An End-to-End Approach for Feature Compression in Device-Edge Co-Inference Systems"
Code for "Context-aware Communication for Multi-agent Reinforcement Learning"
Code for our paper 'Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication Systems'.
Data-Driven Channel Estimation Test Bed
Implementation of the paper "Cell-Free ISAC MIMO Systems: Joint Sensing and Communication Beamforming"
Implementation of the paper "Deep Learning-Based Channel Estimation" (Lab based project)
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
Simulation code for “Channel estimation for mmWave massive MIMO with convolutional blind denoising network” by Y. Jin, J. Zhang, B. Ai, and X. Zhang, IEEE Commun. Lett., vol. 24, no. 1, pp. 95–98, Jan. 2019.
Channel Estimation for One-Bit Multiuser Massive MIMO Using Conditional GAN
Code for Channelformer: Attention based Neural Solution for Wireless Channel Estimation and Effective Online Training
Implementation of the paper "Deep Learning-Based Channel Estimation"