ghizall4's repositories
Deep-Q-Learning-SON-Perf-Improvement
Code for my publication: Deep Q-Learning for Self-Organizing Networks Fault Management and Radio Performance Improvement. Paper accepted to 52nd Asilomar Conference on Signals, Systems, and Computers, 2018.
Deep-Reinforcement-Learning-for-5G-Networks
Code for my publication: Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination. Paper accepted for publication to IEEE Transactions on Communications.
DL-CoMP-Machine-Learning
Code for my publication: Deep Learning in Downlink Coordinated Multipoint in New Radio Heterogeneous Networks. Paper is accepted to IEEE Wireless Communications Letters, 2019.
Edge-Computing-Codes
Implementation of Edge Computing papers.
Advanced-Machine-Learning-Specialization
Advanced Machine Learning Specialization on Coursera
Bandswitch-DeepMIMO
Code for my publication: Deep Learning Predictive Band Switching in Wireless Networks. Paper to appear in IEEE Transactions in Wireless Communications.
Coursera-Machine-Learning-Foundations-A-Case-Study-Approach
Course material and assignment repository for the "Machine Learning Foundations: A Case Study Approach" on Coursera.
Deep-Q-Learning-based-Downlink-Power-Allocation
A deep reinforcement learning based approach is used to allocate downlink power for multi-cell wireless system.
Deeplearning.ai
Materials from deeplearning.ai course on Coursera
Energy-Harvesting-DDPG-
Codes for "Deep Deterministic Policy Gradient (DDPG) based Energy Harvesting Wireless Communications"
Hands-On-Reinforcement-Learning-with-Python
Hands-On Reinforcement Learning with Python, published by Packt
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, To appear.
IRSTestbedUofG
Code repository for the University of Glasgow's intelligent reflecting surface hardware testbed
LassoADMM
Source code for our paper "A Distributed ADMM Approach for Collaborative Regression Learning in Edge Computing"
M.S.-Thesis
M.S. Thesis: "Channel Allocation and Power Control for Device-to-Device Communications Underlaying Cellular Cellular Networks Incorporated With Deep Learning Assistance"
OpenRIS
OpenRIS is an open-source reconfigurable intelligent surface (RIS) project
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
Reinforcement-Learning-Specialization
[Coursera] Reinforcement Learning Specialization by "University of Alberta" & "Alberta Machine Intelligence Institute"
RIS_Codes_Collection
A collection contains the codes for IRS(RIS) papers.
RL-for-binary-computation-offloading-in-wireless-powered-MEC-networks
It's a implementation about the paper Liang Huang, Suzhi Bi, and Ying-jun Angela Zhang, "Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks", on https://ieeexplore.ieee.org/document/8771176
slicesim
5G Network Slicing Simulation
STDenseNet
Source code of Citywide Cellular Traffic Prediction Based on Densely Connected Convolutional Neural Networks
Supervised-Deep-Learning-for-Radio-Resource-Allocation
A supervised deep learning based resource allocation scheme for multi-cell wireless system.