A Novel Two-Level Network Slicing Approach for Efficient UAV Communication in Advanced 6G Environments

Abstract

Nowadays, UAVs have increasingly been employed in many complex tasks that require high volumes of data, such as environmental monitoring, disaster response, and real-time surveillance. In this regard, the communication of UAVs should be very effective and flexible. Traditional UAV networks often suffer from resource optimization, latency control, and scalability. A two-level network slicing architecture is presented for addressing the issues. Contrarily, this design applies two different approaches: Top-Level (Inter-Station) Slicing and Low-Level (Intra -Station) Slicing, which enhance resource management and security. In contrast to this, while the AI-driven resource management reduces energy use by 25% with 94% prediction accuracy for resource allocation, the edge computing within the design reduces latency by 30% significantly. It further improves resilience with self-healing capabilities, reducing downtime by up to 75%, while it also features high scalability, supporting up to 80 UAVs. Enhanced security through isolated network slices and multi-layered encryption protects mission-critical data. The proposed architecture will handle high demands in connectivity and ultra- reliable low-latency communication, designed to work with new 6G standards. The presented results hence validate the architecture to be quite concrete and vision based to provide for the requirements of UAV communication networks in numerous mission-critical applications currently and in the future.