zhouhiking's repositories
Master-Thesis
Source Code to my master's thesis with the topic "End-to-end optimisation of MIMO systems using deep learning autoencoders"
Communication-using-CNN
Digital Communication using deep learning
Decoder-using-deep-learning
Academic project for constructing the decoder for communication using Deep learning networks - CNN architecture and ResNet Inception model architecture.
Paper-with-Code-of-Wireless-communication-Based-on-DL
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
Satellite-communication
Deep learning to predict and improve satellite channel characteristics
Security-and-Robustness-of-Deep-Learning-in-Wireless-Communication-Systems
A research oriented repository on the Security and Robustness of Deep Learning for Wireless Communication Systems
A-Method-for-Guaranteeing-Wireless-Communication-Based-on-a-Combination-of-Deep-and-Shallow-Learnin
A Method for Guaranteeing Wireless Communication Based on a Combination of Deep and Shallow Learning
auto-sync
use deep learning to auto-sync in communication
Awesome-Deep-Learning-For-Wireless-Communication
2018-2019年最新深度学习用于无线通信（物理层）的论文整理，附论文核心**总结与代码分析。（中文）/ A collection of latest papers for wireless communication based on Deep Learning (intelligent communication), with some own understanding and codes analysis.
Ch_Est_Data_Det_1-Bit
This is a collection of MATLAB scripts to generate numerical results for the paper "Channel Estimation and Data Detection Analysis of Massive MIMO with 1-Bit ADCs," IEEE Trans. Wireless Commun. (to appear), 2021
channel-estimation
Channel estimations based on RLS, LMS and ML methods.
ChannelNet
Implementation of the paper "Deep Learning-Based Channel Estimation"
Deep-Learning-and-Communications-Systems
Related to ECE 766 term project
Deep-Learning-based-CSI-Estimation-for-5G-communication
A framework to estimate the Channel State Information for a 5G communication
Deep-Learning-with-TensorFlow-book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Dive-into-DL-TensorFlow2.0
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的同意
DNN-fading-channel
Autoencoder PHY for fading channel
Iterative-BP-CNN
The codes reproduce the research of our work in our JSTSP paper "An Iterative BP-CNN Architecture for Channel Decoding under Correlated Noise"
large-scale-fading-decoding
Simulation code for “Large-Scale-Fading Decoding in Cellular Massive MIMO Systems with Spatially Correlated Channels,” by Trinh Van Chien, Christopher Mollén, and Emil Björnson, IEEE Transactions on Communications, vol. 67, no. 4, pp. 2746-2762, April 2019.
meta-autoencoder
Code for the paper "Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels"
MIST_CNN_Decoder
MIST: A Novel Training Strategy for Low-latency Scalable Neural Net Decoders
mmsp
Research Proposal - Deep Reinforcement Learning based Resource Management for Cellular Vehicle-to-Vehicle Communication(C-V2V)
New-Entry
Communication about Deep Learning.
ResourceAllocationV2X
This project contains MATLAB codes for the paper: L. Liang, G. Y. Li, and W. Xu "Resource allocation for D2D-enabled vehicular communications," IEEE Transactions on Communications, vol. 65, no. 7, pp. 3186-3197, Jul. 2017.
Semi-blind-Channel-Estimation-for-Multiuser-Massive-MIMO-Systems
Simulation code for "E. Nayebi and B. D. Rao, "Semi-blind Channel Estimation for Multiuser Massive MIMO Systems," in IEEE Transactions on Signal Processing, vol. 66, no. 2, pp. 540-553, 15 Jan.15, 2018, doi: 10.1109/TSP.2017.2771725."
signal-processing.-machine-learning-and-sensor-fusion
machine learning, deep learning, sensor fusion, 5G, and all statistical signal processing by jianan
TensorFlow-2.x-Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
turboae
Code for "Turbo Autoencoder: Deep learning based channel code for point-to-point communication channels" NeurIPS 2019