Digital-Twin Empowered Site-Specific Radio Resource Management in 5G Aerial Corridor
Journal:
arXiv
Published Date:
Jul 6, 2025
Abstract
Base station (BS) association and beam selection in multi-cell drone corridor
networks present unique challenges due to the high altitude, mobility and
three-dimensional movement of drones. These factors lead to frequent handovers
and complex beam alignment issues, especially in environments with dense BS
deployments and varying signal conditions. To address these challenges, this
paper proposes a channel-twin (CT) enabled resource-allocation framework for
drone-corridor communications, where the CT constitutes the radio-channel
component of a broader digital-twin (DT) environment. The CT supplies
high-fidelity channel-state information (CSI), which drives a two-stage
optimization procedure. In Stage 1, array-level beamforming weights at each BS
are selected to maximize antenna gain. In Stage 2, the framework jointly
optimizes drone-BS-beam associations at discrete corridor way-points to
maximize end-to-end throughput. Simulation results confirm that the CT-driven
strategy delivers significant throughput gains over baseline methods across
diverse operating scenarios, validating the effectiveness of integrating
precise digital-twin channel models with cross-layer resource optimization.
