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Drone Empowered Small Cellular Disaster Recovery Networks for Resilient Smart Cities

机译:无人机为弹性智能城市提供小型蜂窝灾难恢复网络

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摘要

Resilient communication networks, which can continue operations even after a calamity, will be a central feature of future smart cities. Recent proliferation of drones propelled by the availability of cheap commodity hardware presents a new avenue for provisioning such networks. In particular, with the advent of Google’s Sky Bender and Facebook’s internet drone, drone empowered small cellular networks (DSCNs) are no longer fantasy. DSCNs are attractive solution for public safety networks because of swift deployment capability and intrinsic network reconfigurability. While DSCNs have received some attention in the recent past, the design space of such networks has not been extensively traversed. In particular, co-existence of such networks with an operational ground cellular network in a post-disaster situation has not been investigated. Moreover, design parameters such as optimal altitude and number of drone base stations, etc., as a function of destroyed base stations, propagation conditions, etc., have not been explored. In order to address these design issues, we present a comprehensive statistical framework which is developed from stochastic geometric perspective. We then employ the developed framework to investigate the impact of several parametric variations on the performance of the DSCNs. Without loss of any generality, in this article, the performance metric employed is coverage probability of a down-link mobile user. It is demonstrated that by intelligently selecting the number of drones and their corresponding altitudes, ground users coverage can be significantly enhanced. This is attained without incurring significant performance penalty to the mobile users which continue to be served from operating ground infrastructure.
机译:即使在灾难之后仍可继续运行的弹性通信网络将成为未来智慧城市的主要特征。廉价商品硬件的可用性推动了无人机的最近普及,为配置此类网络提供了新途径。特别是,随着Google的Sky Bender和Facebook的互联网无人机的问世,启用无人机的小型蜂窝网络(DSCN)不再是幻想。 DSCN由于具有快速部署能力和固有的网络可重新配置性,因此对于公共安全网络而言是有吸引力的解决方案。尽管DSCN在最近已受到关注,但此类网络的设计空间尚未得到广泛遍历。特别地,尚未研究在灾难后情况下这种网络与可操作的地面蜂窝网络的共存。而且,还没有探索诸如被破坏的基站,传播条件等的函数的设计参数,诸如最佳高度和无人机基站的数量等。为了解决这些设计问题,我们提供了一个从随机几何角度开发的综合统计框架。然后,我们使用开发的框架来研究几种参数变化对DSCN性能的影响。在不失去任何一般性的前提下,在本文中,采用的性能指标是下行移动用户的覆盖概率。结果表明,通过智能地选择无人机数量及其相应的高度,可以大大提高地面用户的覆盖范围。可以实现这一点,而不会给移动用户带来明显的性能损失,而移动用户将继续从运行中的基础架构中获得服务。

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