AI in Wireless and Optical Communication

How machine learning is applied to channel modeling, link optimization, resource allocation and performance prediction in modern wireless and optical systems.

• Engineers, researchers, and developers working on AI applications in wireless and optical communication systems
• System designers and engineers interested in AI-driven optimization and performance improvement for communication networks
• Graduate and postgraduate students specializing in wireless communication, AI, and machine learning
• Academic staff involved in research and teaching related to AI in communication systems
• Professionals working in the development of next-generation communication systems such as 5G/6G, smart antennas, and IoT
• Data scientists and AI practitioners interested in applying AI techniques in wireless communication
• R&D specialists and technologists working in AI-driven network management, interference mitigation, and signal processing

• Overview of AI and machine learning techniques in wireless and optical communication
• Key AI techniques: supervised learning, unsupervised learning, reinforcement learning, deep learning
• AI in signal processing: modulation, demodulation, error correction, and coding
• AI for channel estimation, power control, and interference management
• Machine learning-based modulation recognition and symbol detection
• AI in 5G/6G networks: beamforming, network optimization, and resource allocation
• AI for massive MIMO, antenna design, and beam tracking in optical communication
• Applications of AI in wireless network management, traffic prediction, and load balancing
• Future of AI in optical and wireless communication: quantum AI, AI for satellite networks, and intelligent wireless systems
• Challenges in deploying AI in communication systems: scalability, complexity, and real-time processing
• Case studies on successful AI applications in communication systems and future trends

• Copy of the presentation slides (PDF)
• Downloadable video recording of the sessions (valid for 60 days)

⚠️ Important: The video is licensed for personal use only. Redistribution, sharing, or public posting of the course video is strictly prohibited.

* Session 1: 2.5 hours Introduction to AI in wireless and optical communication; key AI techniques (machine learning, deep learning, reinforcement learning, etc.) used in communication systems; AI for signal processing, modulation, and coding. * Session 2