This is the repository for collecting and summarizing open-source datasets and tools for communication networks.

Analysis of physical layer security of MIMO system using ML algorithms vs theoretical best

This is the repository for the collection of Graph-based Deep Learning for Communication Networks.

Tutorial on amortized optimization for learning to optimize over continuous domains

The source code for the paper "S-MFRL: Spiking Mean Field Reinforcement Learning for Dynamic Resource Allocation of D2D Networks"

"I have been trying to point out that in our lives chance may have an astonishing influence and, if I may offer advice to the young laboratory worker, it would be this - never to neglect an extraor…

Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}

RIS-Codes-Collection: A Complete Collection contains the Codes for RIS(IRS) Researches.

Joint Transmit Beamforming and Phase Shifts Design with Deep Reinforcement Learning

Simulation Codes for "Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach"

Joint Transmit Beamforming and Phase Shifts Design with Deep Reinforcement Learning Under the Phase-Dependent Amplitude Model

Reconfigurable Intelligent Surface for Enhanced Communication Techniques

Channel Selection and Power Control for D2D Communication via Online Reinforcement Learning

Multiagent deep reinforcement learning research project

Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO With Lens Arrays

DRLib：a Concise Deep Reinforcement Learning Library, Integrating HER, PER and D2SR for Almost Off-Policy RL Algorithms.

Source code for "Intelligent Reflecting Surface Configurations for Smart Radio Using Deep Reinforcement Learning", IEEE JSAC.

Simulation code for "On the Secrecy Rate under Statistical QoS Provisioning for RIS-assisted MISO Wiretap Channel," by V. Kumar, M. F. Flanagan, D. W. Kwan Ng, and L. -N. Tran, IEEE Global Communic…

This repository is accompanying the papers "Artificial Fast Fading from Reconfigurable Surfaces Enables Ultra-Reliable Communications" (SPAWC 2021), "RIS-Assisted Statistical Channel Shaping for Ul…

Aerial Reconfigurable Intelligent Surface-Aided Wireless Communication Systems, IEEE PIMRC, 2021

Simulation code for "Enabling Large Intelligent Surfaces with Compressive Sensing and Deep Learning" by Abdelrahman Taha, Muhammad Alrabeiah, and Ahmed Alkhateeb, published in IEEE Access, March 2021.

Resource allocation for Device-to-Device (D2D) communications using deep reinforcement learning.

Beamforming optimization for a dual-functional radar and communication system, wherein a reconfigurable intelligent surface is deployed to enhance the performance.