Optimized Network Router Deployment and Routing in UAV Swarm Networks

Abstract

The continuous growth of virtual reality (VR), augmented reality (AR), and telepresence applications within IMT 2030 networks has introduced new challenges in providing reliable communication and computational resources. These emerging services require flexible, scalable, and high-performance network infrastructures capable of supporting dynamic and bandwidth-intensive environments. In this regard, unmanned aerial vehicles (UAVs) offer a promising solution for extending wireless coverage, improving connectivity, and reducing network congestion in 5G and beyond communication systems. This paper presents a model and a set of methods for organizing a UAV-assisted wireless access network to support coverage extension and traffic offloading in next-generation mobile networks. The study focuses on the development of clustering and router distribution approaches within a swarm of UAVs to enable efficient and adaptive network deployment. The proposed methods support the intelligent placement of UAV-based routers while considering quality of service (QoS) requirements, maintaining stable mesh network connectivity, and ensuring seamless integration with existing mobile communication infrastructure. The obtained results demonstrate the effectiveness of the proposed approach in enhancing network coverage and connectivity in dynamic environments. The proposed model and methods can serve as a practical solution for service provisioning in 5G and future-generation wireless networks, particularly in scenarios where conventional communication infrastructure is limited or unavailable.