5G及以后的太阳能无人机- bs建模

Greta Vallero, M. Meo
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引用次数: 0

摘要

配备基站的无人机(UAV-BSs)被认为是在网络拥塞或紧急情况下动态提供无线接入网(ran)额外容量的有效解决方案。为了解决机载电池提供的能量不足的问题,无人机- bss可以配备光伏(PV)面板。为了研究和理解交通需求和能源可用性之间的复杂相互作用,在本文中,我们提出了一个光伏面板供电的长期演进(LTE)多用户多输入多输出(MU-MIMO)无人机- bs模型,使用能量包(EPs)的离散表示。该模型突出了在给定的能源生产水平下,交通需求可以得到满足的不同运行区域。考虑到日常交通和能源生产变化的冬季和夏季的结果显示,可以用来适当地衡量无人机- bs供电系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling Solar Powered UAV-BS for 5G and Beyond
Unmanned Aerial Vehicles equipped with Base Stations (UAV-BSs) are considered an effective solution to dynamically provide additional capacity in Radio Access Networks (RANs), in case of network congestion or emergency situations. To face the problem of the poor energy availability provided by on-board batteries, UAV-BSs can be equipped with Photovoltaic (PV) panels. To investigate and understand the complex interworking between traffic needs and energy availability, in this paper, we propose a model of a PV-panel-powered Long Term Evolution (LTE) Multi User Multiple Input-Multiple Output (MU-MIMO) UAV-BS, using a discretized representation of the energy in terms of Energy Packets (EPs). The model highlights the different operation regions under which the traffic demand can be satisfied for given energy production levels. Results for winter and summer seasons that take into account daily traffic and energy production variability are shown and can be used to properly dimension the UAV-BS power supply system.
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