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- W4200410210 abstract "Unmanned aerial vehicles (UAVs) are usually resource constrained, and have the limited communication and energy storage capacity. Collaborative beamforming (CB) in UAV networks based on a virtual node antenna array (VNAA) can enhance the signal-to-noise-ratio (SNR) and energy efficiency of a single UAV node. The UAV nodes can move to better locations for constructing the VNAA to achieve a maximum SNR of CB. However, this will result in an extra motion energy consumption. In this paper, we formulate a joint optimization problem to simultaneously optimize the received SNR and motion energy consumption of UAVs for CB. Then, a mended particle swarm optimization with weed optimization mechanism (PSOWOM) algorithm is proposed to solve the formulated joint optimization problem. Simulation results verify the effectiveness of the proposed algorithm." @default.
- W4200410210 created "2021-12-31" @default.
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- W4200410210 date "2021-09-05" @default.
- W4200410210 modified "2023-09-28" @default.
- W4200410210 title "A Joint Optimization Approach for UAV-enabled Collaborative Beamforming" @default.
- W4200410210 doi "https://doi.org/10.1109/iscc53001.2021.9631417" @default.
- W4200410210 hasPublicationYear "2021" @default.
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