Optimal 3D-UAV Trajectory and Resource Allocation of DL UAV-GE Links with Directional Antennas

Optimal 3D-UAV Trajectory and Resource Allocation of DL UAV-GE Links with Directional Antennas
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DOI:
10.1109/globecom42002.2020.9322550
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发表时间:
2020-08
期刊:
GLOBECOM 2020 - 2020 IEEE Global Communications Conference
影响因子:
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通讯作者:
Carles Diaz-Vilor;H. Jafarkhani
Carles Diaz-Vilor;H. Jafarkhani
中科院分区:
其他
文献类型:
--
作者:
Carles Diaz-Vilor;H. Jafarkhani

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无人机是一项很有前途的技术,可以解决许多具有挑战性的新问题。与其他飞行技术相比,它提供了高度的机动性和控制性,较低的制造成本和许多其他特征。尤其是在无线通信领域,由于无人机能够在无人机之间或无人机与地面基站/用户之间进行收发和建立通信,人们对无人机的兴趣与日俱增。在这项工作中,我们研究了一种无人机部署,在这种部署中,每个飞行器都带有定向天线,为一组用户服务。为此,我们在无人机服务的用户中最大化最小下行链路速率。由于问题的非凸性,我们将其分为四个子问题。然后,利用块坐标下降法、逐次凸逼近法和序列二次规划法对四个子问题进行了迭代优化。仿真结果表明,与全向基准相比,定向天线的加入在吞吐量方面具有更好的性能。
Unmanned Aerial Vehicle (UAV) is a promising technology to solve many new challenging problems. It provides high maneuverability and control, low manufacturing cost with respect to other flying technologies and many other features. In particular, there is an increasing interest in UAVs in the field of wireless communications, due to their capacity to carry on transceivers and establish communication among UAVs, or between UAVs and ground base stations/users. In this work, we investigate a UAV deployment in which each flying vehicle serves a set of users, carrying directional antennas. To do so, we maximize the minimum downlink rate among the users that a UAV serves. Due to the non-convexity of the problem, we will divide it into four sub-problems. Afterwards, an iterative algorithm is proposed to optimize the four sub-problems by using the block coordinate descent method, successive convex approximation and sequential quadratic programming. Simulation results show that the addition of directional antennas results in a better performance in terms of throughput compared with omni-directional benchmarks.