3D Urban UAV Relay Placement: Linear Complexity Algorithm and Analysis

Optimal unmanned aerial vehicle (UAV) placement in a 3-dimensional (3D) space to build a connection between a base station (BS) and a ground user is studied herein. A key challenge is to avoid signal propagation blockage due to obstacles. Much prior work uses probabilistic terrain models with model...

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Vydáno v:IEEE transactions on wireless communications Ročník 20; číslo 8; s. 5243 - 5257
Hlavní autoři: Chen, Junting, Mitra, Urbashi, Gesbert, David
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.08.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers
Témata:
Algorithms
Area
Autonomous aerial vehicles
Complexity theory
Computer Aided Engineering
Computer Science
Diameters
Line of sight
Optimization
Performance gain
Placement
position optimization
Probabilistic logic
Probabilistic models
radio map
relay networks
Terrain models
Three-dimensional displays
Topology
trajectory planning
Two-dimensional displays
Unmanned aerial vehicle (UAV)
Unmanned aerial vehicles
Wireless communication
position optimization
relay networks
Unmanned aerial vehicle (UAV)
radio map
Unmanned aerial vehicle (UAV) relay networks radio map trajectory planning position optimization
trajectory planning
ISSN:1536-1276, 1558-2248
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Popis
Shrnutí:Optimal unmanned aerial vehicle (UAV) placement in a 3-dimensional (3D) space to build a connection between a base station (BS) and a ground user is studied herein. A key challenge is to avoid signal propagation blockage due to obstacles. Much prior work uses probabilistic terrain models with model parameters learned from the statistics over a large area, and therefore, the optimization for a specific user in a small local area is poor. In contrast, this paper seeks the optimal UAV position over actual and fine-grained terrain, and develops efficient UAV positioning strategy adaptive to the degree of location-dependent line-of-sight (LOS) condition measured on the fly. It is proven that the globally optimal UAV position in 3D can be determined from the proposed search trajectory which has merely linear length in the diameter of the target area. Therefore, the proposed strategy can be practically implemented. Numerical experiments are performed over a real-world urban topology and demonstrate superior performance gain over existing strategies based on probabilistic models.
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ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2021.3066429