6G-Enabled Smart City Landscape Using Network and Digital Twin Networking Models

This paper proposes the Smart Urban Digital Twin Network (SUDTN), an integrated architecture combining 6G wireless communication and Digital Twin (DT) networking for next-generation smart city management. The framework synchronises physical urban assets such as  traffic systems, healthcare networks, energy grids, and IoT devices with real-time digital replicas through a three-layer design: LoRa-based sensing, federated DT fabric, and AI-driven intelligence. Three core innovations drive the system the Federated Digital Twin Consensus Algorithm (FDTCA) for privacy-preserving synchronisation (ε = 0.48, latency < 0.5 ms), an ANE-GCN navigation engine (94.7% traffic prediction accuracy), and a PWRR 6G scheduler (48.7 Gbps throughput)  collectively delivering a 39.5% improvement in DT synchronisation error, 38.2% reduction in IoT energy consumption, and 31% faster emergency response over existing 5G-based baselines, validated across 1.2 million simulated IoT nodes.