Energy-Efficient and Cognitive Networks

This training delves into the design and optimization of energy-efficient and cognitive wireless networks, which are essential to meet the performance demands of next-generation (6G) communication systems while minimizing power consumption and enabling intelligent spectrum usage. The course explores both hardware-level energy efficiency and network-level intelligence through cognitive radio technologies, AI/ML-based decision-making, and adaptive resource management. Participants will learn about the core principles, algorithms, and system architectures that support green and intelligent networking—vital for IoT, edge computing, massive connectivity, and mission-critical applications. Hands-on examples and case studies will illustrate the trade-offs between performance, energy consumption, and adaptability.

* Fundamentals of energy-efficient wireless communication * Cognitive radio principles and spectrum awareness techniques * AI/ML approaches for dynamic spectrum access and resource optimization * Power control, sleep modes, and green hardware strategies * Trade-offs between energy efficiency and quality-of-service (QoS) * Network architecture for energy-aware and cognitive operation * Use cases: smart cities, industrial IoT, and 6G networks * Performance evaluation metrics and benchmarking tools

* Wireless system designers and energy-aware network engineers * Researchers in green communications and cognitive networking * Professionals working on AI-driven or IoT-based communication systems * Graduate students interested in sustainability and smart networks