AI-Enhanced 5G Network Optimization

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Target Audience

Faculty, Researchers, Industry Professionals, Advanced Students

Duration

5 Hours (300 mins)

Mode of Delivery

Hybrid

Overview

This workshop explores how AI enables predictive, adaptive, and intelligent management of 5G networks. Participants will dive into machine learning techniques for traffic prediction, anomaly detection, and dynamic spectrum allocation.

Detailed Topics & Subtopics:

  • Introduction to AI in 5G (20 mins)
  • ML for Network Traffic Forecasting (45 mins)
  • AI-driven Resource Allocation & Spectrum Management (45 mins)
  • Predictive Maintenance in 5G Infrastructure (30 mins)
  • Case Study: AI in Telecom Network Optimization (40 mins)
  • Hands-on: Applying ML Models on Sample 5G Datasets (80 mins)
  • Wrap-up & Discussion (40 mins)

Learning Outcomes

  • Apply ML techniques to network optimization problems.
  • Understand predictive analytics for telecom operations.
  • Gain hands-on skills in 5G performance datasets

Further Learning

  • Advanced ML for Wireless Networks, AI in Network Automation (SON/NFV).

Frequently Asked Questions (FAQs)

1. Who can join this workshop?

Anyone interested in learning how AI can be applied to 5G networks — including students, faculty, researchers, and professionals.

2. Do I need any special background?

A general interest in technology is enough. Some basic knowledge of networks or AI is helpful, but not mandatory.

3. How long is the course?

The total course duration is just 5 hours, delivered through live online sessions.

4. Is it online or in-person?

It will be delivered in hybrid mode - you can attend either online or on-site.

5. What can I expect to gain?

You’ll learn how AI is being used in modern networks, explore real-world examples, and get hands-on experience with basic tools and datasets.

Registration

Workshop Form