3-D Sidelobe Suppression for Collaborative Beamforming With UAVs

For the integration of traditional terrestrial networks and non-terrestrial networks, including satellites and unmanned aerial vehicles (UAVs), it is critical to manage interference in three-dimensional (3D) networks while establishing reliable communication links to the desired receiver. Therefore, in this letter, we consider collaborative beamforming (CB) using multiple UAVs to extend the transmission range in a 3D network. Additionally, we propose a sidelobe suppression algorithm by selecting an appropriate set of UAVs for CB. We analyze the number of trials required for UAV selection in the proposed algorithm, given a specific number of undesired receivers and transmit power. The simulation results show that the proposed algorithm can effectively control interference levels at the undesired receivers.

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Publication Details

Journal
IEEE Wireless Communications Letters
Published
2024-12-27
DOI
https://doi.org/10.1109/lwc.2024.3523511
Citations
3
Primary Topic
Antenna Design and Optimization
Type
article
Field-Weighted Citation Impact
3.90
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article

3-D Sidelobe Suppression for Collaborative Beamforming With UAVs

Jung-Bin Kim, Haejoon Jung, Jae Joon Han, In-Ho Lee
3 citations
IEEE Wireless Communications Letters
Antenna Design and Optimization
3.90
article

3-D Sidelobe Suppression for Collaborative Beamforming With UAVs

Jung-Bin Kim, Haejoon Jung, Jae Joon Han, In-Ho Lee
article en
3 citations

Abstract

For the integration of traditional terrestrial networks and non-terrestrial networks, including satellites and unmanned aerial vehicles (UAVs), it is critical to manage interference in three-dimensional (3D) networks while establishing reliable communication links to the desired receiver. Therefore, in this letter, we consider collaborative beamforming (CB) using multiple UAVs to extend the transmission range in a 3D network. Additionally, we propose a sidelobe suppression algorithm by selecting an appropriate set of UAVs for CB. We analyze the number of trials required for UAV selection in the proposed algorithm, given a specific number of undesired receivers and transmit power. The simulation results show that the proposed algorithm can effectively control interference levels at the undesired receivers.

IEEE Wireless Communications LettersVol. 14(3)
Hankyong National University (KR), Electronics and Telecommunications Research Institute (KR), Kyung Hee University (KR)
Affordable and clean energy
Openalex Percentile: Top 6%
Antenna Design and Optimization
3.90
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