Performance Analysis of Millimeter-Wave UAV Swarm Networks under Blockage Effects

Due to their high mobility, unmanned aerial vehicles (UAVs) can offer better connectivity by complement or replace with the existing terrestrial base stations (BSs) in the mobile cellular networks. In particular, introducing UAV and millimeter wave (mmWave) technologies can better support the future...

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Main Authors: Haejoon Jung, In-Ho Lee
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/16/4593
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spelling doaj-7c93cf9a73d944f1bc7ffc727b92cbf92020-11-25T03:26:37ZengMDPI AGSensors1424-82202020-08-01204593459310.3390/s20164593Performance Analysis of Millimeter-Wave UAV Swarm Networks under Blockage EffectsHaejoon Jung0In-Ho Lee1Department of Information and Telecommunication Engineering, Incheon National University, Incheon 22012, KoreaSchool of Electronic and Electrical Engineering, Hankyong National University, Anseong 17579, KoreaDue to their high mobility, unmanned aerial vehicles (UAVs) can offer better connectivity by complement or replace with the existing terrestrial base stations (BSs) in the mobile cellular networks. In particular, introducing UAV and millimeter wave (mmWave) technologies can better support the future wireless networks with requirements of high data rate, low latency, and seamless connectivity. However, it is widely known that mmWave signals are susceptible to blockages because of their poor diffraction. In this context, we consider macro-diversity achieved by the multiple UAV BSs, which are randomly distributed in a spherical swarm. Using the widely used channel model incorporated with the distance-based random blockage effects, which is proposed based on stochastic geometry and random shape theory, we investigate the outage performance of the mmWave UAV swarm network. Further, based on our analysis, we show how to minimize the outage rate by adjusting various system parameters such as the size of the UAV swarm relative to the distance to the receiver.https://www.mdpi.com/1424-8220/20/16/4593unmanned aerial vehicles (UAVs)millimeter wave (mmWave)UAV swarm network
collection DOAJ
language English
format Article
sources DOAJ
author Haejoon Jung
In-Ho Lee
spellingShingle Haejoon Jung
In-Ho Lee
Performance Analysis of Millimeter-Wave UAV Swarm Networks under Blockage Effects
Sensors
unmanned aerial vehicles (UAVs)
millimeter wave (mmWave)
UAV swarm network
author_facet Haejoon Jung
In-Ho Lee
author_sort Haejoon Jung
title Performance Analysis of Millimeter-Wave UAV Swarm Networks under Blockage Effects
title_short Performance Analysis of Millimeter-Wave UAV Swarm Networks under Blockage Effects
title_full Performance Analysis of Millimeter-Wave UAV Swarm Networks under Blockage Effects
title_fullStr Performance Analysis of Millimeter-Wave UAV Swarm Networks under Blockage Effects
title_full_unstemmed Performance Analysis of Millimeter-Wave UAV Swarm Networks under Blockage Effects
title_sort performance analysis of millimeter-wave uav swarm networks under blockage effects
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2020-08-01
description Due to their high mobility, unmanned aerial vehicles (UAVs) can offer better connectivity by complement or replace with the existing terrestrial base stations (BSs) in the mobile cellular networks. In particular, introducing UAV and millimeter wave (mmWave) technologies can better support the future wireless networks with requirements of high data rate, low latency, and seamless connectivity. However, it is widely known that mmWave signals are susceptible to blockages because of their poor diffraction. In this context, we consider macro-diversity achieved by the multiple UAV BSs, which are randomly distributed in a spherical swarm. Using the widely used channel model incorporated with the distance-based random blockage effects, which is proposed based on stochastic geometry and random shape theory, we investigate the outage performance of the mmWave UAV swarm network. Further, based on our analysis, we show how to minimize the outage rate by adjusting various system parameters such as the size of the UAV swarm relative to the distance to the receiver.
topic unmanned aerial vehicles (UAVs)
millimeter wave (mmWave)
UAV swarm network
url https://www.mdpi.com/1424-8220/20/16/4593
work_keys_str_mv AT haejoonjung performanceanalysisofmillimeterwaveuavswarmnetworksunderblockageeffects
AT inholee performanceanalysisofmillimeterwaveuavswarmnetworksunderblockageeffects
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