5G Network Slicing Simulation

5G Network E2E Slice Manager

DeepSlice: A Deep Learning Approach towards an Efficient and Reliable Network Slicing in 5G Networks

5G Network Slicing for Wi-Fi Networks

Admission Control and Resource Allocation mechanism for 5G Core Network Slicing based on Reinforcement Learning and Deep Learning

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 Python architecture and detailed performance metrics.

An Algorithm for making handoff decisions in a sliced 5G network

Source code for the paper "ORANSlice: An Open-Source 5G Network Slicing Platform for O-RAN," in Proceding of ACM Workshop on Open and AI RAN, ACM MobiCom'24, Nov 2024.

An SDN-based Network Slicing Platform of 5G Core Network

5G-Slicer: An emulator for mobile IoT applications deployed over 5G network slices

Studies, POC's, References and codes for Network Slicing on 5G Core

5G network slicing with CP/UP split

Robustness Evaluation of RL-based Algorithms for Resource Allocation in 5G Network Slicing

Reinforcement_learning and automated planning for 5g Network slicing

Dynamic Network Slices Allocation for 5G Networks Using RYU Controller

No description available

Basing off from a 5G infrastructure with mmWave, Ultra Dense Networks, Integrated Access and Backhaul, network slicing, and users scheduling (for now), this simulator will focus on calculating throughput and delays achieved in cellular networks.

DDoS Attack Detection for 5G Network Slice using CNN

Reimplementation of research paper "Slice as an Evolutionary Service: Genetic Optimization for Inter-Slice Resource Management in 5G Networks"

Private 5G-Network Slice Automation Model | Kali Linux

5G Network Slice Management Function

The "5G Slice Type Dataset" is a comprehensive resource for studying network slicing in 5G communication systems. It includes various slice types and attributes like LTE/5G category, time, packet loss rate, packet delay, and application types.

Slice-aware energy saving algorithm for 5G networks based on simplicial homology

This project implements a Convolutional Neural Network (CNN) for classifying 5G network slices (eMBB, mMTC, URLLC) using simulated data. Built entirely in Google Colab, it features dataset generation, training, and visualizations like confusion matrices, ROC curves, and pair plots to analyze model performance and network behavior.

Creation of 5G standalone network using Open5gs and UERANSIM with support for network slicing

This is a repository containing an implementation with simulation and performance analyses for several common 5G network slicing algorithms, built using Python and the SliceSim simulator.

Network Slice as a Service Platform for beyond 5G networks

No description available

Academic Project

Simulation of Network Slicing in 5G Networks