Energy-Efficient and QoS-aware UAV Communication using Reactive RF Band Allocation

Marjan Moradi, Ayub Bokani, J. Hassan
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引用次数: 3

Abstract

Next generation mobile communication systems propose the use of Unmanned Aerial Vehicles (UAVs) in providing wireless communication services. Emerging bandwidth-demanding applications such as real-time video streaming could also be satisfied by the next generation UAVs while exploiting the unoccupied bandwidth available at millimetre Wave (mmWave) frequency ranging from 30 to 300 GHz. However, mmWave UAVs suffer from high attenuation loss and Line Of Sight (LOS) communication. To combat the attenuation, UAVs must transmit using higher transmission power which results in higher energy consumption. MmWave, however, incurs shorter communication sessions implying shorter flight duration and less energy consumption than Long-Term Evolution (LTE) band for delivering the same service. Furthermore, a wide range of applications are delay sensitive and unable to be served by LTE. Since mmWave UAVs require continuous LOS and are unable to serve concurrent multiple nodes, we explore the concept of dual-mode UAV-assisted service delivery in which the UAV switches to mmWave band for serving bandwidth-hungry applications, and back to LTE for all other applications. The aim is to achieve a trade-off between Quality of Service (QoS) and energy consumption for Air2Ground (A2G) service delivery. Our evaluation results show the feasibility of such dual-mode system for next generation UAVs while achieving higher QoS compared to the current mono-band UAVs.
基于无功射频频段分配的高能效和qos感知无人机通信
下一代移动通信系统建议使用无人驾驶飞行器(uav)提供无线通信服务。新兴的带宽要求苛刻的应用,如实时视频流,也可以通过下一代无人机来满足,同时利用30至300 GHz毫米波(mmWave)频率下可用的未占用带宽。然而,毫米波无人机遭受高衰减损失和视线(LOS)通信。为了对抗衰减,无人机必须使用更高的发射功率进行传输,从而导致更高的能量消耗。但是,与长期演进(LTE)频段相比,毫米波的通信时间更短,意味着在提供相同的服务时飞行时间更短,能耗更低。此外,许多应用都是延迟敏感的,无法由LTE提供服务。由于毫米波无人机需要连续的LOS,并且无法同时服务多个节点,我们探索了双模无人机辅助服务交付的概念,其中无人机切换到毫米波频段以服务带宽饥渴的应用,并返回到LTE用于所有其他应用。其目的是实现空中地面(A2G)服务交付的服务质量(QoS)和能耗之间的权衡。我们的评估结果表明,这种双模系统用于下一代无人机的可行性,同时与当前的单波段无人机相比,可以实现更高的QoS。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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