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.

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ACES

Automatic Configuration of Energy Harvesting Sensor Nodes with Reinforcement Learning

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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.

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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.

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Edge-Computing-Codes

Implementation of Edge Computing papers.

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STCNet

Source code of IEEE JSAC

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Advanced-Machine-Learning-Specialization

Advanced Machine Learning Specialization on Coursera

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Bandswitch-DeepMIMO

Code for my publication: Deep Learning Predictive Band Switching in Wireless Networks. Paper to appear in IEEE Transactions in Wireless Communications.

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Coursera-Machine-Learning-Foundations-A-Case-Study-Approach

Course material and assignment repository for the "Machine Learning Foundations: A Case Study Approach" on Coursera.

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COVID-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

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Deep-Q-Learning-based-Downlink-Power-Allocation

A deep reinforcement learning based approach is used to allocate downlink power for multi-cell wireless system.

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Deeplearning.ai

Materials from deeplearning.ai course on Coursera

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DROO

Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks

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Energy-Harvesting-DDPG-

Codes for "Deep Deterministic Policy Gradient (DDPG) based Energy Harvesting Wireless Communications"

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Hands-On-Reinforcement-Learning-with-Python

Hands-On Reinforcement Learning with Python, published by Packt

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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.

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IRSTestbedUofG

Code repository for the University of Glasgow's intelligent reflecting surface hardware testbed

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LassoADMM

Source code for our paper "A Distributed ADMM Approach for Collaborative Regression Learning in Edge Computing"

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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"

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mec_drl

Deep reinforcement learning for mobile edge computing

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OpenRIS

OpenRIS is an open-source reconfigurable intelligent surface (RIS) project

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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

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Reinforcement-Learning-Specialization

[Coursera] Reinforcement Learning Specialization by "University of Alberta" & "Alberta Machine Intelligence Institute"

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RIS_Codes_Collection

A collection contains the codes for IRS(RIS) papers.

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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

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slicesim

5G Network Slicing Simulation

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STDenseNet

Source code of Citywide Cellular Traffic Prediction Based on Densely Connected Convolutional Neural Networks

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Supervised-Deep-Learning-for-Radio-Resource-Allocation

A supervised deep learning based resource allocation scheme for multi-cell wireless system.

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