Automatic 5G Network Lab Setup

1. Automate 5G Network Configurations with NVIDIA AI LLM Agents and Kinetica Accelerated Database

This DLI introduces an Agentic Generative AI solution designed to address bandwidth allocation challenges in 5G networks. It is divided into two parts that guide you through setting up and managing a 5G network.

2. Insert your API Key in the next cell to get it stored for the application

Before running any services, export your NVIDIA API key and prepare the local cache. If you do not have the NVIDIA API key, please follow these steps to create one:

• Visit build.nvidia.com
• Create an account
• Click your account icon in the screen upper corner
• Select API keys from the menu -Press Generate API key

Once you have a valid API key, edit the /Telco-Network-Configuration/config.yaml and add the NVIDIA API KEY. Also review the other configuration parameters for the blueprint.

3. Set the password for the Kinetica database

This repository works with an instance of Kinetica, an accelerated database. You will need to request the password through this email "acanaveras@nvidia.com" once you have the password please change it in the .env file located under this directory ./autonomous5g_slicing_lab/llm-slicing-5g-lab/

5 Agentic LLMs for 5G Section

Once you have the 5G Lab GitHub repository cloned and the API Key and Kinetica passwords configured, you can proceed to the Agentic LLMs section. This part of the lab demonstrates how to deploy an agentic workflow to monitor network performance and dynamically adjust bandwidth allocation.

• Part A – Setup of 5G Lab environment
  Located at: ./autonomous5g_slicing_lab/llm-slicing-5g-lab/DLI_Lab_Setup.ipynb
  Provides instructions to set up a 5G Network Software Stack in your environemnt.

• Part B – 5G Network Agent Workflow
  Located at: ./autonomous5g_slicing_lab/agentic-llm/agentic_pipeline_DLI.ipynb
  Explains the agentic pipeline in LangGraph for managing 5G network slicing and bandwidth allocation.