Lilly Tech Systems
AI for 5G Networks
Explore how artificial intelligence powers the next generation of mobile networks. Learn AI-driven network slicing, intelligent resource management, edge computing orchestration, and Open RAN AI for building smarter, more efficient 5G infrastructure.
Your Learning Path
Follow these lessons in order, or jump to any topic that interests you.
1. Introduction
How AI is essential for 5G complexity, key use cases, and the AI/ML techniques driving next-gen mobile networks.
2. Network Slicing
AI-driven network slice creation, management, and optimization for diverse 5G service requirements.
3. Resource Management
Intelligent radio and compute resource allocation using ML for dynamic 5G environments.
4. Edge Computing
AI-orchestrated MEC (Multi-access Edge Computing) for ultra-low latency 5G applications.
5. Open RAN AI
AI/ML in Open RAN architecture with RIC (RAN Intelligent Controller), xApps, and rApps.
6. Best Practices
Deploying AI in 5G networks, vendor ecosystem navigation, and operational considerations.
What You'll Learn
By the end of this course, you'll be able to:
Design AI-Driven Slices
Create and manage intelligent network slices that dynamically adapt to service requirements using ML models.
Optimize Resources
Apply AI techniques for efficient radio and compute resource allocation in dynamic 5G environments.
Orchestrate Edge AI
Deploy AI-driven edge computing architectures for ultra-low latency 5G applications and services.
Leverage Open RAN
Understand and implement AI/ML functions within the Open RAN architecture using RIC controllers.