DeepSlice: A Deep Learning Approach towards an Efficient and Reliable Network Slicing in 5G Networks
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Updated
Sep 16, 2021 - Python
DeepSlice: A Deep Learning Approach towards an Efficient and Reliable Network Slicing in 5G Networks
A 5G network with a Base Station, using an SDR and OpenAirInterface (Open Source). The software will be validated using COTS (commercial) mobile and programable SIM.
Open5GS 5G Core Docker images and Docker compose deployments
This repository presents a multi-agent reinforcement learning approach for energy-efficient collaborative control of base stations in 5G networks.
This is a repository for my Diploma Thesis on Wireless Communications at Aristotle University of Thessaloniki
In this project, we demonstrate how mobile network operators can deploy full 5G networks using (open source) Ansible and container orchestration tools such as docker and Kubernetes on the cloud and a local setup
Private 5G-Network Slice Automation Model | Kali Linux
In this project we demonstrate two 5G deployment options. First, a container-based (Docker) implementation of 5G using Ansible and secondly a Virtual machine (VM) based implementation using Free5GC and UERANSIM. This project further implements IPsec on the Ansible deployment between the UE and UPF to protect the confidentiality of users' data.
An open source cellular research project
5G Core Stand Alone Compact, Suitable for 5G Core Private Network
A suite of software used to simulate the flow of people on the University of Colorado Boulder campus using WiFi network information reports.
Unified Data Management
Bachelor Thesis developed for the completion of the graduation in Electrical Engineering.
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