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A Distributed Approach for Networked Flying Platform Association with Small Cells in 5G+ Networks

机译:5G +网络中与小蜂窝网络化的飞行平台关联的分布式方法

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The densification of small cell base stations in a 5G architecture is a promising approach to enhance the coverage area and facilitate the ever increasing capacity demand of end users. However, the bottleneck is an intelligent management of a backhaul/fronthaul network for these small cell base stations. This involves efficient association and placement of the backhaul hubs that connects these small-cells with the core network. Terrestrial hubs suffer from an inefficient non line of sight link limitations and unavailability of a proper infrastructure in an urban area. Realizing the popularity of flying platforms, we employ here an idea of using networked flying platform (NFP) such as unmanned aerial vehicles (UAVs), drones, unmanned balloons flying at different altitudes, as aerial backhaul hubs. The association problem of these NFP-hubs and small- cell base stations is formulated considering backhaul link and NFP related limitations such as maximum number of supported links and bandwidth. We then present an efficient and distributed solution of the designed problem, which performs a greedy search in order to maximize the sum rate of the overall network. A favorable performance is observed via a numerical comparison of our proposed method with optimal exhaustive search algorithm in terms of sum rate and run-time speed.
机译:5G架构中的小型蜂窝基站的致密化是一种有前途的方法,可以扩大覆盖范围并满足最终用户不断增长的容量需求。但是,瓶颈是这些小型小区基站的回程/前传网络的智能管理。这涉及将这些小型蜂窝小区与核心网络连接起来的回程集线器的有效关联和放置。地面枢纽的效率低下,非视线连接受到限制,并且市区内没有适当的基础设施。在意识到飞行平台的普及之后,我们在这里采用了将网络化飞行平台(NFP)(例如无人飞行器(UAV),无人机,在不同高度飞行的无人气球)用作空中回程枢纽的想法。考虑到回程链路和与NFP相关的限制(例如,受支持的链路的最大数量和带宽),制定了这些NFP集线器和小型蜂窝基站的关联问题。然后,我们提出一种针对设计问题的高效且分布式的解决方案,该方案执行贪婪搜索以使整个网络的总速率最大化。通过对我们提出的方法与最优穷举搜索算法进行数值比较,观察到了良好的性能,该总和率和运行时速度方面。

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