Terrain-Based UAV Deployment: Providing Coverage for Outdoor Users

Deploying unmanned aerial vehicle (UAV) networks to provide coverage for outdoor users has attracted great attention during the last decade. However, outdoor coverage is challenging due to the high mobility of crowds and the diverse terrain configurations causing building blockage. Most studies use...

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Bibliographic Details
Published in:IEEE transactions on vehicular technology 2024-06, Vol.73 (6), p.8988-9002
Main Authors: Lou, Zhengying, Wang, Ruibo, Belmekki, Baha Eddine Youcef, Kishk, Mustafa A., Alouini, Mohamed-Slim
Format: Article
Language:English
Subjects:
Autonomous aerial vehicles
Buildings
Channel models
Coverage probability
Fading channels
networking
optimization
Real time
Real-time systems
Search algorithms
Search methods
Stochastic processes
Terrain
UAV deployment
Unmanned aerial vehicles
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Summary:Deploying unmanned aerial vehicle (UAV) networks to provide coverage for outdoor users has attracted great attention during the last decade. However, outdoor coverage is challenging due to the high mobility of crowds and the diverse terrain configurations causing building blockage. Most studies use stochastic channel models to characterize the impact of building blockage on user performance and do not take into account terrain information. On the other hand, real-time search methods use terrain information, but they are only practical when a single UAV serves a single user. In this paper, we put forward two methods to avoid building blockage in a multi-user system by collecting prior terrain information and using real-time search. We proposed four algorithms related to the combinations of the above methods and their performances are evaluated and compared in different scenarios. By adjusting the height of the UAV based on terrain information collected before networking, the performance is significantly enhanced compared to the one when no terrain information is available. The algorithm based on real-time search further improves the coverage performance by avoiding the shadow of buildings. During the execution of the real-time search algorithm, the search distance is reduced using the collected terrain information.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2024.3362845