Workshop Series

AI in Future
Wireless Communications

An intensive hands-on workshop exploring how Artificial Intelligence and Machine Learning are shaping next-generation 5G and 6G wireless networks — conducted at IIIT Bangalore.

IIIT Bangalore Campus
Hands-on Sessions
Certificate of Participation
5G / 6G Focus

About the Workshop

This workshop, organised by the IIITB COMET Foundation, bridges the gap between foundational AI/ML theory and its real-world application in wireless communication systems. Participants gain practical exposure to how intelligent algorithms are integrated into 5G and future 6G network design.

Delivered by domain experts from IIIT Bangalore's Advanced Communication Systems group, the workshop combines lectures, live demonstrations, and hands-on lab sessions — making it ideal for engineers, researchers, and final-year students from Electronics, Telecommunications, and Computer Science backgrounds.

Expert-Led Sessions

Faculty and researchers from IIIT Bangalore's NM-ICPS TIH program.

Python-Based Hands-on Labs

Implement OFDM, MIMO, and modulation classification with real datasets.

Industry-Aligned Curriculum

Topics drawn directly from 3GPP Release 16/17 and 6G research roadmaps.

Participation Certificate

Issued by IIITB COMET Foundation upon successful completion.

AI + 5G
Convergence of deep learning and next-gen networks
400+
Engineers trained by IIITB COMET Foundation
IIIT-B
Backed by NM-ICPS, DST, Govt. of India

Topics Covered

Core areas explored during the workshop sessions

01

Wireless Communication Fundamentals with Python

Single carrier systems, OFDM, MIMO and OTFS systems implemented using Python and NumPy.

OFDM MIMO Python
02

Introduction to Machine Learning for Engineers

Supervised, semi-supervised, and unsupervised learning paradigms with a focus on regression and classification models relevant to wireless.

Supervised Learning Regression
03

Massive MIMO Receiver Design Using AI

Deep learning-based channel estimation and equalization techniques applied to Massive MIMO systems.

Massive MIMO Deep Learning
04

Modulation Classification

Using convolutional neural networks to automatically identify modulation schemes from received signal data.

CNN Classification
05

5G Architecture and AI Integration

Overview of 5G SA architecture, O-RAN, and where AI/ML fits into the RAN Intelligent Controller (RIC).

O-RAN RIC 5G SA
06

Towards 6G: AI-Native Networks

Introduction to 6G vision, AI-native air interface design, and research directions in semantic communications.

6G Semantic Comms

Interested in Our Next Workshop?

Stay updated on upcoming AI in Wireless Communication sessions and registration details by reaching out to us.