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  • 👋 Hi, I’m Kim Jinwook
  • 👀 I’m interested in Kubernetes, Deep learning, Infrastructure automation & orchestration, IaaS, DevOps and MLOps
  • 🌱 I’m currently learning Deep learning and Kubernetes

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Kim jinwook's Projects

acc-rand-kacz icon acc-rand-kacz

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.

adjscc icon adjscc

TF Code for "Wireless Image Transmission Using Deep Source Channel Coding with Attention Modules"

aee-otfs icon aee-otfs

Autoencoder-Based Enhanced Orthogonal Time Frequency Space Modulation

aoi_rl icon aoi_rl

Reinforcement learning based scheduling algorithm for optimizing AoI in URLLC networks

attention-ofdm icon attention-ofdm

The code here can be used to train a Transformer Neural Network to perform symbol recovery at the receiver end.

autoencoder-based-communication-system icon autoencoder-based-communication-system

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/

autoencoder_for_physical_layer icon autoencoder_for_physical_layer

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

bottlenetplusplus icon bottlenetplusplus

Code for the paper: "BottleNet++: An End-to-End Approach for Feature Compression in Device-Edge Co-Inference Systems"

cacom icon cacom

Code for "Context-aware Communication for Multi-agent Reinforcement Learning"

cdrn-channel-estimation-irs icon cdrn-channel-estimation-irs

Code for our paper 'Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication Systems'.

cebed icon cebed

Data-Driven Channel Estimation Test Bed

channel-estimation icon channel-estimation

Implementation of the paper "Deep Learning-Based Channel Estimation" (Lab based project)

channel-estimation-ofdm icon channel-estimation-ofdm

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_cbdnet icon channel_estimation_cbdnet

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_mrdn icon channel_estimation_mrdn

Simulation code for "Multiple Residual Dense Networks for Reconfigurable Intelligent Surfaces Cascaded Channel Estimation" by Y. Jin, J. Zhang, C. Huang, L. Yang, H. Xiao, B. Ai and Z. Wang, IEEE Transactions on Vehicular Technology, vol. 71, no. 2, pp. 2134-2139, Feb. 2022,

channelformer icon channelformer

Code for Channelformer: Attention based Neural Solution for Wireless Channel Estimation and Effective Online Training

channelnet icon channelnet

Implementation of the paper "Deep Learning-Based Channel Estimation"

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