Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Institutional Repository

Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/32070

Title: Prediction of air-to-ground communication strength for relay UAV trajectory planner in urban environments
Authors: Ladosz, Pawel
Oh, Hyondong
Chen, Wen-Hua
Issue Date: 2018
Publisher: IEEE
Citation: LADOSZ, P., OH, H. and CHEN, W-H., 2018. Prediction of air-to-ground communication strength for relay UAV trajectory planner in urban environment. Presented at the 2018 IEEE/RSJ International Conference On Intelligent Robots and Systems (IROS 2018), Vancouver, Oct. 1-5th.
Abstract: This paper proposes the use of a learning approach to predict air-to-ground (A2G) communication strength in support of the communication relay mission using UAVs in an urban environment. To plan an efficient relay trajectory, A2G communication link quality needs to be predicted between the UAV and ground nodes. However, due to frequent occlusions by buildings in the urban environment, modelling and predicting communication strength is a difficult task. Thus, a need for learning techniques such as Gaussian Process (GP) arises to learn about inaccuracies in a pre-defined communication model and the effect of line-of-sight obstruction. Two ways of combining GP with a relay trajectory planner are presented: i) scanning the area of interest with the UAV to collect communication strength data first and then using learned data in the trajectory planner and ii) collecting data and running the trajectory planner simultaneously. The performance of both approaches is compared with Monte Carlo simulations. It is shown that the first implementation results in slightly better predictions, however the second one benefits from being able to start the relay mission immediately.
Description: This conference paper is in closed access until it is published.
Sponsor: This work was supported by the UK Engineering and Physical Science Research Council (EPSRC) under the Grant EP/J011525/1.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/32070
Publisher Link: https://www.iros2018.org/
Appears in Collections:Closed Access (Aeronautical and Automotive Engineering)

Files associated with this item:

File Description SizeFormat
IROS_draft_1.pdfAccepted version2.11 MBAdobe PDFView/Open


SFX Query

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.