Fluid Aerial Networks: UAV Rotation for Inter-Cell Interference Mitigation
Enzhi Zhou, Yue Xiao, Ziyue Liu, Sotiris A. Tegos, Panagiotis D. Diamantoulakis, George K. Karagiannidis

TL;DR
This paper introduces a novel fluid aerial network where UAVs rotate to optimize beamforming and reduce inter-cell interference, significantly enhancing multi-cell network capacity and efficiency.
Contribution
It proposes a low-complexity algorithm for optimal UAV rotation angles to mitigate interference, a novel approach in UAV-assisted cellular networks.
Findings
Rotation significantly affects multi-user channel correlation.
The proposed scheme improves sum rate by approximately 10%.
Simulation validates the effectiveness of the rotation strategy.
Abstract
With the rapid development of aerial infrastructure, unmanned aerial vehicles (UAVs) that function as aerial base stations (ABSs) extend terrestrial network services into the sky, enabling on-demand connectivity and enhancing emergency communication capabilities in cellular networks by leveraging the flexibility and mobility of UAVs. In such a UAV-assisted network, this paper investigates position-based beamforming between ABSs and ground users (GUs). To mitigate inter-cell interference, we propose a novel fluid aerial network that leverages ABS rotation to increase multi-cell capacity and overall network efficiency. Specifically, considering the line-of-sight channel model, the spatial beamforming weights are determined by the orientation angles of the GUs. In this direction, we examine the beamforming gain of a two-dimensional multiple-input multiple-output (MIMO) array at various…
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Taxonomy
TopicsUAV Applications and Optimization · Advanced MIMO Systems Optimization · Millimeter-Wave Propagation and Modeling
