无人机- bss在5G网络中的覆盖分析与高效布局

M. Ouamri, M. Otesteanu, Gordana Barb, C. Gueguen
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引用次数: 12

摘要

无人机作为基站的集成已被证明是未来移动通信系统的一种潜在方法。因此,3GPP标准化社区目前正在研究这一新兴技术,其主要目标是提高密集城市地区的覆盖率和容量。然而,为了给用户提供足够的覆盖,有必要找到Drone-BS的最佳位置。本工作为5G通信系统中的无人机- bs提出了一种使用元启发式算法的新方法。首先,利用随机几何分析了基于信噪比的下行链路覆盖概率。然后,应用灰狼优化算法在覆盖概率约束下寻找无人机- bs的最优布局。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Coverage Analysis and Efficient Placement of Drone-BSs in 5G Networks
The integration of drones as base stations has shown to be a potential approach for the future mobile communication systems. Hence, this emerging technology is currently being investigated within the 3GPP standardization community with the main objective of improving coverage and capacity in dense urban areas. Nevertheless, in order to provide adequate coverage for users, it is necessary to find the optimal location of the Drone-BS. This work proposes a novel approach for the Drone-BS in 5G communication systems, using the meta-heuristic algorithm. Firstly, we analyse the downlink coverage probability according to SINR by using stochastic geometry. Afterwards, we apply the Grey Wolf Optimizer algorithm in order to find the optimal Drone-BS placement under coverage probability constraint.
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