Stars
Zero Touch Configuration of Time-aware Streams for 5G Time-Sensitive Networking
Zero-touch network is conceived as a next-generation management and operation system that leverages the principles of NFV and SDN in order to fully automated management and operation.
Framwork for the work "Large Language Models for Zero Touch Network Configuration Management"
This repository includes code for the AutoML-based IDS and adversarial attack defense case studies presented in the paper "Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis"…
A unified WCRT (Worst-Case Response Time) analysis framework for TSN (Time-Sensitive Networking) scheduling mechanisms, built on top of pyCPA (Compositional Performance Analysis).
(Worked in May. 2020 - Nov. 2020),(Sponsored by the National Information Society Agency)
Code implementing the algorithm and the benchmark of the paper "Power Minimization of Downlink Spectrum Slicing for eMBB and URLLC Users"
Simulation code for "Non-Orthogonal Multiple Access and Network Slicing: Scalable Coexistence of eMBB and URLLC". Paper presented in the 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spri…
According to considering the delay or not for two scenarios, eMBB and URLLC service, observe the wireless resource allocation distribution
5G Network Slicing Simulation project designed to explore dynamic resource allocation and performance optimization across network slices, including eMBB, mMTC, and URLLC. Developed with modular Pyt…
Model Predictive Control for autonomous vehicle trajectory tracking control, in Matlab.
A comprehensive scheduling optimization scheme for TT and AVB traffic in Time-Sensitive Networking
Open code for the paper 'Scalable Scheduling of Real-Time Task and Message for Multi-Rate Task Chain in Time Sensitive System'
Designed and implemented a Graph Neural Network (GNN) + Proximal Policy Optimization (PPO) reinforcement learning system to solve workforce scheduling and routing with strict time constraints.
Multi-source Strategy Adaptation Network for Time-triggered Flow Scheduling in Unknown Environments
Online Planner Selection with Graph Neural Networks and Adaptive Scheduling (AAAI 2020)
This repository is the official implementation of the paper “Flexible Job Shop Scheduling via Dual Attention Network Based Reinforcement Learning”. IEEE Transactions on Neural Networks and Learning…
Link Scheduling using Graph Neural Networks, IEEE TWC
Fast creation and configuration of topologies, traffic matrices and event schedules for network experiments
This advanced and complex project implements an AI-powered optimization system for 5G Open RAN networks. Using machine learning and deep learning, the system optimizes network performance by detect…
Transformer's Encoder-based 5G Transport Block Size (TBS) Prediction Model
This advanced and complex project implements an AI-powered optimization system for 5G Open RAN networks. Using machine learning and deep learning, the system optimizes network performance by detect…
A Framework for Safe and Accelerated Reinforcement Learning-based Radio Resource Management