Cognitive Optical and Wireless Networks

Self-aware networks that sense their environment and dynamically adapt resources for greater efficiency and reliability.

• Engineers and researchers in wireless and optical communication
• Professionals developing intelligent and adaptive network solutions
• Graduate and postgraduate students working in communications, networking, and AI integration
• R&D personnel from telecommunications companies and research labs
• Academic staff involved in teaching and research in cognitive radio, optical networking, and intelligent systems
• Organizations exploring next-generation smart networks for dynamic environments

• Fundamentals of cognitive networking
• Cognitive radio: principles and techniques
• Cognitive optical networks: architecture and key enablers
• Spectrum sensing and dynamic spectrum allocation for optical and RF systems
• Examples of adaptive decision-making in optical and wireless systems
• AI and machine learning integration into cognitive networks
• Resource management, fault tolerance, and self-healing capabilities
• Cognitive network architectures for 6G and beyond
• Case studies: Cognitive systems in space, terrestrial, and underwater communications
• Future research directions and standardization efforts

• 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 Cognitive Networking Concepts and Optical Domain Applications * Session 2 (2.5 hours): Cognitive Techniques for Optimization, Management, and Future Directions