Optimal Precoding and Deployment of Millimeter-Wave Drone Base Stations

Fatih Yürekli, Tolga Girici
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引用次数: 1

Abstract

Due to their flexible deployment and line-of-sight channel conditions, drone base stations is a promising technology. Recent developments in Massive MIMO tranmission with millimeter-wave beamforming also enables high data rates and enables simultaneous transmission to multiple ground users. In this work we consider the problem of deployment (i.e. positioning) of drone base stations and analog MIMO beamforming that maximizes SINR. Simulation results reveal that careful K-Means clustering of ground users, together with DFT-based beamforming provides a promising performance.
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毫米波无人机基站的最优预编码与部署
由于其灵活的部署和视距信道条件,无人机基站是一项很有前途的技术。采用毫米波波束形成的大规模MIMO传输的最新发展也实现了高数据速率,并能够同时向多个地面用户传输。在这项工作中,我们考虑了无人机基站的部署(即定位)问题和最大化SINR的模拟MIMO波束形成。仿真结果表明,对地面用户进行仔细的K-Means聚类,结合dft波束成形提供了很好的性能。
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Optimal Precoding and Deployment of Millimeter-Wave Drone Base Stations Fading Modeling in Indoor THz Wireless Systems [BalkanCom 2021 Front cover] An ensemble learning framework for distributed resource allocation in inteference channels: The two user case Edge Computing: System Overview and Fusion with Wireless Power Transfer
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