AI-Enabled and Next-Gen Wireless Communication

This dynamic training explores the integration of artificial intelligence (AI) with next-generation wireless communication systems, focusing on how machine learning and data-driven approaches are revolutionizing the design, optimization, and management of modern wireless networks. Participants will gain foundational knowledge of AI techniques and understand their applications in enhancing performance, reliability, and adaptability of wireless technologies such as 5G, 6G, and beyond. The course also covers enabling technologies including massive MIMO, mmWave, RIS (Reconfigurable Intelligent Surfaces), and non-terrestrial networks (NTN), showing how AI can be used for channel estimation, resource allocation, interference management, and mobility prediction. Real-world use cases and deployment challenges are discussed to equip participants with the skills needed to contribute to the future of intelligent and autonomous wireless systems.

• Overview of 5G, 6G, and future wireless communication trends
• Fundamentals of AI/ML: supervised, unsupervised, and reinforcement learning
• AI applications in channel estimation, beamforming, and resource optimization
• Role of AI in RIS-assisted and mmWave systems
• AI for network slicing, traffic prediction, and anomaly detection
• Integration of AI in non-terrestrial and IoT communication systems
• Challenges in training, data availability, and system implementation
• Case studies from real deployments and research frontiers

• Wireless communication engineers and system designers
• AI/ML researchers and data scientists in the telecom domain
• Network operators and infrastructure planners
• R&D professionals exploring smart wireless solutions
• Graduate students and academic researchers in AI or wireless systems