trandinhhieu1989
In Dec. 2021, he finished his Ph.D. degree at the University of Luxembourg, where he won the Best Ph.D. Thesis Award.
Université du LuxembourgUniversité du Luxembourg 29, avenue JF Kennedy L-1855 Luxembourg Campus Office, JFK Building, E03-310
Pinned Repositories
Data-Science--Cheat-Sheet
Cheat Sheets
Deep-Learning-based-CSI-Estimation-for-5G-communication
A framework to estimate the Channel State Information for a 5G communication
DRL-wireless-networks
Implementation of deep reinforcement learning for optimizing the beams and predicting the blockage events
Harvest-to-Transmit-Cognitive-Multi-hop-Networks-with-Best-Path-Selection
Multiagent-Reinforcement-Learning
OptimizeEE
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
Performance-Enhancement-for-Multi-hop-Harvest-to-Transmit-WSNs-With-Path-Selection-Methods
This is a Matlab code package is related to the article: "Performance Enhancement for Multi-hop Harvest-to-Transmit WSNs With Path-Selection Methods in Presence of Eavesdroppers and Hardware Noises, IEEE Sensors Journal, vol. 18, 12, pp. 5173 - 5186 , April 2018. "
Performance-Evaluation-of-Relay-Selection-Schemes-in-Beacon-Assisted-Dual-hop-CRNs
This is a Matlab code for article: “Performance Evaluation of Relay Selection Schemes in Beacon-Assisted Dual-hop Cognitive Radio Wireless Sensor Networks under Impact of Hardware Noises,” Sensors, vol. 18, 6, pp. 1 - 24, 2018.
Secrecy-performance-of-a-generalized-partial-relay-selection-protocol-in-underlay-cognitive-networks
This is a Matlab code for the article: “Secrecy Performance of a Generalized Partial Relay Selection Protocol in Underlay Cognitive Networks”, International Journal of Communication Systems, vol. 31, no. 17, pp. 1-17, Nov. 2018.
trandinhhieu1989's Repositories
trandinhhieu1989/Multiagent-Reinforcement-Learning
trandinhhieu1989/OptimizeEE
trandinhhieu1989/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
trandinhhieu1989/projects
List of my projects
trandinhhieu1989/AC-DSOS
Codes of the Actor-Critic-based Deep Stochastic Online Scheduling (AC-DSOS) Algorithm
trandinhhieu1989/DRL-wireless-networks
Implementation of deep reinforcement learning for optimizing the beams and predicting the blockage events
trandinhhieu1989/5G
5G Mobile Networks -- Micro-book
trandinhhieu1989/BAC-COM-for-6G-umMTC
On the Application of BAC-NOMA to 6G umMTC
trandinhhieu1989/BioGPT
trandinhhieu1989/Book-Mathematical-Foundation-of-Reinforcement-Learning
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
trandinhhieu1989/cufflinks
Productivity Tools for Plotly + Pandas
trandinhhieu1989/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
trandinhhieu1989/Docker_Terrestrial_Networks
Build NTN project using docker
trandinhhieu1989/Energy-Ef-cient-Data-Collection-in-UAV-Enabled-Wireless-Sensor-Network
Energy Efficient Data Collection in UAV Enabled Wireless Sensor Network in matlab
trandinhhieu1989/federated-learning
Federated Learning - PyTorch
trandinhhieu1989/FEDL
Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation
trandinhhieu1989/FedProx
Federated Optimization in Heterogeneous Networks (MLSys '20)
trandinhhieu1989/IRS-relaying
Simulation code for “Intelligent Reflecting Surface vs. Decode-and-Forward: How Large Surfaces Are Needed to Beat Relaying?,” by Emil Björnson, Özgecan Özdogan, Erik G. Larsson, IEEE Wireless Communications Letters, vol. 9, no. 2, pp. 244-248, February 2020.
trandinhhieu1989/learn-machine-learning-in-two-months
Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.
trandinhhieu1989/mmdetection
OpenMMLab Detection Toolbox and Benchmark
trandinhhieu1989/neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
trandinhhieu1989/pandas-datareader
Extract data from a wide range of Internet sources into a pandas DataFrame.
trandinhhieu1989/Pandas_Exercises
trandinhhieu1989/Pytorch_tutorial
trandinhhieu1989/quantum-computing-fundamentals-2833097
This repo is for the Linkedin Learning course: Quantum Computing Fundamentals
trandinhhieu1989/reinforcement_learning
Going through RL course by TheLazyProgrammer on Udemy
trandinhhieu1989/RIS-Codes-Collection
RIS-Codes-Collection: A Complete Collection contains the Codes for RIS(IRS) Papers.
trandinhhieu1989/stanford-cme-106-probability-and-statistics
VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
trandinhhieu1989/tutorials
PyTorch tutorials.
trandinhhieu1989/Web-crawling
In this part, I would like to show basic python code for web scraping using Scrapy or BeautifulSoup