User-Centric Intelligent UAV Swarm Networks: Performance Analysis and Design Insight

To enhance the network coverage and capacity, unmanned aerial vehicle (UAV) communication has become a promising technology thanks to the high mobility and the flexible deployment of UAVs. However, the consistency of the service is not guaranteed due to the limitation single UAV base station (BS), l...

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Main Authors: Wanqing Huang, Jinlin Peng, Hongtao Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8926439/
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spelling doaj-b899bcf2c865435d9f98ab8f232a53f52021-03-29T21:59:12ZengIEEEIEEE Access2169-35362019-01-01718146918147810.1109/ACCESS.2019.29581008926439User-Centric Intelligent UAV Swarm Networks: Performance Analysis and Design InsightWanqing Huang0https://orcid.org/0000-0001-9040-8541Jinlin Peng1https://orcid.org/0000-0002-1944-888XHongtao Zhang2https://orcid.org/0000-0003-2031-5985School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, ChinaNational Innovation Institute of Defense Technology, Beijing, ChinaSchool of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, ChinaTo enhance the network coverage and capacity, unmanned aerial vehicle (UAV) communication has become a promising technology thanks to the high mobility and the flexible deployment of UAVs. However, the consistency of the service is not guaranteed due to the limitation single UAV base station (BS), leading to the research for the user-centric UAV swarm networks. This paper derives the semi-closed-form expressions of coverage probability and average achievable rate for the user-centric UAV swarm networks to characterize the performance gain obtained from the increased UAV swarm diversity. Especially, the user-centric UAV swarm networks organize a dynamic UAV swarm for each user consisting of potential serving UAVs in user's vicinity, which gives the design of boundaryless cells to serve each user seamlessly without user's involvement. By modeling the locations of the UAVs as Poisson point process (PPP) and modeling the channel fading as Nakagami-$m$ distribution, the analytical results are calculated under two transmission modes, depending on whether cell coordination is considered or not. The results show that the coverage performance can be improved by 30% without cell coordination and 50% with cell coordination in comparison with traditional cell-centric networks when the UAV altitude is 100 m and SINR threshold is 0 dB.https://ieeexplore.ieee.org/document/8926439/User-centric UAV swarm networkscoverage probabilityaverage achievable ratePoisson point process
collection DOAJ
language English
format Article
sources DOAJ
author Wanqing Huang
Jinlin Peng
Hongtao Zhang
spellingShingle Wanqing Huang
Jinlin Peng
Hongtao Zhang
User-Centric Intelligent UAV Swarm Networks: Performance Analysis and Design Insight
IEEE Access
User-centric UAV swarm networks
coverage probability
average achievable rate
Poisson point process
author_facet Wanqing Huang
Jinlin Peng
Hongtao Zhang
author_sort Wanqing Huang
title User-Centric Intelligent UAV Swarm Networks: Performance Analysis and Design Insight
title_short User-Centric Intelligent UAV Swarm Networks: Performance Analysis and Design Insight
title_full User-Centric Intelligent UAV Swarm Networks: Performance Analysis and Design Insight
title_fullStr User-Centric Intelligent UAV Swarm Networks: Performance Analysis and Design Insight
title_full_unstemmed User-Centric Intelligent UAV Swarm Networks: Performance Analysis and Design Insight
title_sort user-centric intelligent uav swarm networks: performance analysis and design insight
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description To enhance the network coverage and capacity, unmanned aerial vehicle (UAV) communication has become a promising technology thanks to the high mobility and the flexible deployment of UAVs. However, the consistency of the service is not guaranteed due to the limitation single UAV base station (BS), leading to the research for the user-centric UAV swarm networks. This paper derives the semi-closed-form expressions of coverage probability and average achievable rate for the user-centric UAV swarm networks to characterize the performance gain obtained from the increased UAV swarm diversity. Especially, the user-centric UAV swarm networks organize a dynamic UAV swarm for each user consisting of potential serving UAVs in user's vicinity, which gives the design of boundaryless cells to serve each user seamlessly without user's involvement. By modeling the locations of the UAVs as Poisson point process (PPP) and modeling the channel fading as Nakagami-$m$ distribution, the analytical results are calculated under two transmission modes, depending on whether cell coordination is considered or not. The results show that the coverage performance can be improved by 30% without cell coordination and 50% with cell coordination in comparison with traditional cell-centric networks when the UAV altitude is 100 m and SINR threshold is 0 dB.
topic User-centric UAV swarm networks
coverage probability
average achievable rate
Poisson point process
url https://ieeexplore.ieee.org/document/8926439/
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