Abstract
Unmanned aerial vehicles (UAVs) are adopted as promising platforms to provide aerial wireless communications and networks. However, due to the line-of-sight (LoS) dominant air-ground channels, UAVs cause stronger interference to the terrestrial network devices. In this work, we study a novel interference mitigation method via collaborative beamforming (CB) under a UAV-enabled data collection scenario. Specifically, we form a UAV-enabled virtual antenna array (UVAA) to transmit the collected data to the terrestrial base stations (BSs), and formulate an interference mitigation multi-objective optimization problem (IMMOP) to simultaneously enhance the data transmission efficiency, reduce the interference affection and increase the network lifetime. Due to the complexity and NP-hardness of IMMOP, a chaotic multi-objective multi-verse optimizer (CMOMVO) is proposed for solving the problem. Simulation results show that the CMOMVO can effectively solve the IMMOP and has better performance than some benchmark algorithms.
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Acknowledgment
This study is supported in part by the National Natural Science Foundation of China (62172186, 62002133, 61872158), in part by the National Key Research and Development Program of China (2018YFC0831706), in part by the Science and Technology Development Plan Project of Jilin Province (20210101183JC, 20210201072GX, 20200201166JC), in part by the Young Science and Technology Talent Lift Project of Jilin Province (QT202013), and in part by the Central Government funds for guiding local scientific and Technological Development (2021Szvup047).
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Li, H., Wei, D., Sun, G., Wang, J., Li, J., Kang, H. (2022). Interference Mitigation via Collaborative Beamforming in UAV-Enabled Data Collections: A Multi-objective Optimization Method. In: Wang, L., Segal, M., Chen, J., Qiu, T. (eds) Wireless Algorithms, Systems, and Applications. WASA 2022. Lecture Notes in Computer Science, vol 13471. Springer, Cham. https://doi.org/10.1007/978-3-031-19208-1_46
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