Integrating UAV-Enabled Base Stations in 3D Networks: QoS-Aware Joint Fronthaul and Backhaul Design
<|reference_start|>Integrating UAV-Enabled Base Stations in 3D Networks: QoS-Aware Joint Fronthaul and Backhaul Design: The emerging concept of 3D networks, integrating terrestrial, aerial, and space layers, introduces a novel and complex structure characterized by stations relaying backhaul loads through point-to-point wireless links, forming a wireless 3D backhaul mesh. A key challenge is the strategic placement of aerial platform such as drone base stations (DBSs), considering the locations and service demands of ground nodes and the connectivity to backhaul gateway nodes for core network access. This paper addresses these complexities with a two-fold approach: a novel Agglomerative Hierarchical Clustering (HC) algorithm that optimizes DBS locations to satisfy minimum backhaul adjacency and maximum fronthaul coverage radius requirements; and a Genetic Algorithm (GA) that designs backhaul connections to satisfy the cumulative load across the network and maximize the throughput margin which translates to network resilience to increasing demands. Our results showcase the effectiveness of these algorithms against benchline schemes, offering insights into the operational dynamics of these novel 3D networks.<|reference_end|>
@article{janji2024integrating,
    title={Integrating UAV-Enabled Base Stations in 3D Networks: QoS-Aware Joint
  Fronthaul and Backhaul Design},
    author={Salim Janji, Piotr Wawrzyniak, Piotr Formanowicz, Adrian Kliks},
    journal={arXiv preprint arXiv:2404.17547},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.17547},
    primaryClass={cs.NI}
}