Wireless Intelligence

An architecture is only as good as its real-world performance. That’s why Chapter Five is dedicated to deployment, evaluation, and the path to production. You’ll learn why simple prediction accuracy isn't enough and master a practical evaluation framework based on task completion rates, mean-time-to-diagnosis, and rollback frequency. We’ll stress-test these AI systems in digital twins and confront the critical issues of security and trust. How do you prevent prompt injection attacks through telemetry streams? How do you build audit trails to ensure every AI-driven change is explainable? Finally, we address the dynamic nature of wireless itself. We'll explore lifelong learning techniques, like federated fine-tuning, that allow a fleet of APs to adapt to changing interference and traffic patterns without catastrophic forgetting. You'll finish this course ready to build systems that don't just operate, but continuously improve.