基于可见光通信的无人机对车多址信道定位优化

A. Amantayeva, Moldir Yerzhanova, Refik Caglar Kizilirmak
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引用次数: 17

摘要

小型无人机(uav)被认为以空对地通信的形式支持车载网络。在本文中,我们考虑了一种基于VLC的空对地通信信道,其中小型无人机提供对汽车集群的多重访问。仿真结果表明,无人机的位置影响着每辆车的通行能力,离无人机越近的车通行能力越高。进一步,发现无人机的最佳位置是离车辆较近且数据速率要求较高的位置。本文的另一个结果是,与未优化的无人机位置场景相比,系统中车辆数量较多导致总容量的提高较小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
UAV Location Optimization for UAV-to-Vehicle Multiple Access Channel with Visible Light Communication
Small-scale unmanned aerial vehicles (UAVs) are considered to support vehicular networks in the form of air-to-ground communication. In this paper, we consider a VLC based air-to-ground communication channel where the small-scale UAV provides multiple access to a cluster of cars. The simulation results reveal that the UAV position influences the capacity of each car with the cars that are closer to the UAV achieving higher capacity. Furthermore, the optimum location of the UAV is found to be the location closer to the car with high data rate demand. Another result of the paper is that larger number of cars in the system leads to smaller improvement in the sum capacity compared to non-optimized UAV position scenario.
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