thesis.pdf (64.93 MB)
Establishing and optimising unmanned airborne relay networks in urban environments
thesis
posted on 2019-06-20, 15:23 authored by Pawel LadoszThis thesis assesses the use of a group of small, low-altitude, low-power (in terms of communication equipment), fixed-wing unmanned aerial vehicles (UAVs) as a mobile communication relay nodes to facilitate reliable communication between ground nodes in urban environments. This work focuses on enhancing existing models for optimal trajectory planning and enabling UAV relay implementation in realistic urban scenarios. The performance of the proposed UAV relay algorithms was demonstrated and proved through an indoor simulated urban environment, the first experiment of its kind. The objective of enabling UAV relay deployment in realistic urban environments is addressed through relaxing the constraints on the assumptions of communication prediction models assumptions, reducing knowledge requirements and improving prediction efficiency. This thesis explores assumptions for urban environment knowledge at three different levels: (i) full knowledge about the urban environment, (ii) partially known urban environments, and (iii) no knowledge about the urban environment. The work starts with exploring models that assume the city size, layout and its effects on wireless communication strength are known, representing full knowledge about the urban environment. [Continues.]
Funding
EPSRC Centre for Doctoral Training in Embedded Intelligence
Engineering and Physical Sciences Research Council
Find out more...History
School
- Aeronautical, Automotive, Chemical and Materials Engineering
Department
- Aeronautical and Automotive Engineering
Publisher
Loughborough UniversityRights holder
© Pawel LadoszPublication date
2019Notes
A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of the degree of Doctor of Philosophy at Loughborough University.Language
- en
Supervisor(s)
Wen-Hua Chen ; Cunjia LiuQualification name
- PhD
Qualification level
- Doctoral
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