Kien Vu's starred repositories
Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
adaptiveFS
Adaptive feature selection using reinforcement learning
DRL-wireless-networks
Implementation of deep reinforcement learning for optimizing the beams and predicting the blockage events
nn-compression
A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)
torchprofile
A general and accurate MACs / FLOPs profiler for PyTorch models
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
How-to-change-the-make-file-in-NS2
There are some documents related to NS2, which helps you understand and implement the routing protocols in NS2.
ln-game-theory
Matlab code for the figures and the examples used in G. Bacci, L. Sanguinetti, and M. Luise, "Understanding game theory via wireless power control,' submitted to IEEE Signal Process. Mag., Oct. 2014.
Path-Selection-and-Rate-allocation-in-Self-backhauled-mmWave-Networks
This is a Matlab code package is related to the article : Path Selection and Rate Allocation for URLLC in Self-backhauled mmWave 5G Networks
Joint-User-Association-and-In-band-Backhaul-Scheduling-and-in-5G-mmWave-Networks
Matlab Simulation for T. K. Vu, M. Bennis, S. Samarakoon, M. Debbah and M. Latva-aho, "Joint In-Band Backhauling and Interference Mitigation in 5G Heterogeneous Networks," European Wireless 2016; 22th European Wireless Conference, Oulu, Finland, 2016, pp. 1-6. URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7499273&isnumber=7499250
Mobility-Assisted-on-Demand-Routing-Algorithm-for-MANETs-in-the-Presence-of-Location-Errors
Trung Kien Vu and Sungoh Kwon, “Mobility-Assisted on-Demand Routing Algorithm for MANETs in the Presence of Location Errors,” The Scientific World Journal, vol. 2014, Article ID 790103, 11 pages, 2014. doi:10.1155/2014/790103
massive-MIMO-small-cells
Simulation code for “Massive MIMO and Small Cells: Improving Energy Efficiency by Optimal Soft-Cell Coordination” by Emil Björnson, Marios Kountouris, Mérouane Debbah, Proceedings of International Conference on Telecommunications (ICT), Casablanca, Morocco, May 2013.