RESILIENT AI-DRIVEN COMMUNICATION FRAMEWORKS FOR NEXT-GENERATION ICT INFRASTRUCTURE IN SMART AND CONNECTED SOCIETIES: A FOCUS ON PRIVACY-PRESERVING, ENERGY-AWARE, AND LATENCY-OPTIMIZED ARCHITECTURE INTEGRATING 6G, EDGE INTELLIGENCE, AND CONTEXT-AWARE

This paper presents a novel communication framework aimed at enhancing the resilience and intelligence of next-generation ICT infrastructures in smart and connected societies. Leveraging advancements in 6G, Edge AI, and context-aware networking, the proposed architecture is designed to optimize energy consumption, ensure low latency, and enforce robust privacy-preserving mechanisms. The integration of these technologies addresses the critical challenges faced in dynamic, data-intensive environments such as smart cities, healthcare, and autonomous transport systems. Our design incorporates adaptive AI decision-making modules, energy-aware task offloading, and federated learning at the network edge to mitigate risks of centralized data breaches and latency spikes. Performance evaluation demonstrates a 30% improvement in energy efficiency and a 40% reduction in transmission delay.