Power Allocation In NOMA

Wideband MIMO Channel Estimation for Hybrid Beamforming Millimeter Wave Systems via Random Spatial Sampling

Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication

Simulation code for "Deep Learning Coordinated Beamforming for Highly-Mobile Millimeter Wave Systems" by Ahmed Alkhateeb, Sam Alex, Paul Varkey, Ying Li, Qi Qu, and Djordje Tujkovic, in IEEE Access…

An open source python library for scalable Bayesian optimisation.

Simulates a persistent and non-persistent Carrier Sense Multiple Access/Collision Detect (CSMA/CD) protocol in computer networking, written in Python.

Reinforcement learning resources curated

Analysis of real cellular traffic captured on a device

A Python implementation of global optimization with gaussian processes.

Reconfigurable Antenna - Non Orthogonal Multiple Access

This program implement the ALOHA protocol for multiple access of a channel.

Python Implementation of Reinforcement Learning: An Introduction

Repo for the Deep Reinforcement Learning Nanodegree program

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

Material for the EPFL master course "A Network Tour of Data Science", edition 2017.

Material for the EPFL master course "A Network Tour of Data Science", edition 2016.

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Training Deep Neural Networks for Wireless Resource Management

Implementations of Reinforecement learning, self-organizing-map (fraud detection) and other things

Assistive Context-Aware Toolkit (ACAT)

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

Simulating the performance of IDMA as one of the proposed multiple access schemes for the future 5th generation (5G) mobile networks air interface.

Code and notes for "Bayesian Reasoning and Machine Learning

Matlab Simulation Code for "Robust group sparse beamforming for multicast green Cloud-RAN with imperfect CSI", by Y. Shi, J. Zhang, and K. B. Letaief, IEEE Trans. Signal Process., vol. 63, no. 17, …

Matlab Simulation Code for “Optimal stochastic coordinated beamforming for wireless cooperative networks with CSI uncertainty,” by Y. Shi, J. Zhang, and K. B. Letaief, IEEE Trans. Signal Process., …

The project Carrier Sense Multiple Access with Collision Detection is a software implementation and show collision detection between any of the station using a common channel to send and receive da…

Analyzing CSMA/CA (Carrier Sense Multiple Access with Collision Avoidance) Protocol in IEEE 802.11 WLAN protocol

The one-cell simulation of Wi-Fi network.

Resource Management with Deep Reinforcement Learning (HotNets '16)