UAV Virtual Antenna Array Deployment for Uplink Interference Mitigation in Data Collection Networks
Hongjuan Li, Hui Kang, Geng Sun, Jiahui Li, Jiacheng Wang, Xue Wang,, Dusit Niyato, Victor C. M. Leung

TL;DR
This paper proposes a novel UAV swarm-based virtual antenna array approach using collaborative beamforming and multi-objective optimization to mitigate uplink interference, improve data transmission efficiency, and conserve energy in aerial-terrestrial networks.
Contribution
It introduces a joint optimization framework combining UAV positioning, beamforming weights, and data transmission sequencing, solved with an enhanced evolutionary algorithm, to effectively reduce interference and enhance network performance.
Findings
CNSGA-II outperforms other algorithms in solving the MOOP.
Significant reduction in UAV-induced interference to non-receiving base stations.
Improved energy efficiency and data transmission performance in UAV-assisted networks.
Abstract
Unmanned aerial vehicles (UAVs) have gained considerable attention as a platform for establishing aerial wireless networks and communications. However, the line-of-sight dominance in air-to-ground communications often leads to significant interference with terrestrial networks, reducing communication efficiency among terrestrial terminals. This paper explores a novel uplink interference mitigation approach based on the collaborative beamforming (CB) method in multi-UAV network systems. Specifically, the UAV swarm forms a UAV-enabled virtual antenna array (VAA) to achieve the transmissions of gathered data to multiple base stations (BSs) for data backup and distributed processing. However, there is a trade-off between the effectiveness of CB-based interference mitigation and the energy conservation of UAVs. Thus, by jointly optimizing the excitation current weights and hover position of…
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Taxonomy
TopicsUAV Applications and Optimization · Mobile Ad Hoc Networks · Antenna Design and Optimization
MethodsSoftmax · Attention Is All You Need · Balanced Selection
