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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/25434

Title: The automatic placement of multiple indoor antennas using Particle Swarm Optimisation
Authors: Kelly, Marvin G.
Keywords: Particle Swarm Optimisation (PSO)
Antenna location
In-buildings
Issue Date: 2016
Publisher: © Marvin G. Kelly
Abstract: In this thesis, a Particle Swarm Optimization (PSO) method combined with a ray propagation method is presented as a means to optimally locate multiple antennas in an indoor environment. This novel approach uses Particle Swarm Optimisation combined with geometric partitioning. The PSO algorithm uses swarm intelligence to determine the optimal transmitter location within the building layout. It uses the Keenan-Motley indoor propagation model to determine the fitness of a location. If a transmitter placed at that optimum location, transmitting a maximum power is not enough to meet the coverage requirements of the entire indoor space, then the space is geometrically partitioned and the PSO initiated again independently in each partition. The method outputs the number of antennas, their effective isotropic radiated power (EIRP) and physical location required to meet the coverage requirements. An example scenario is presented for a real building at Loughborough University and is compared against a conventional planning technique used widely in practice.
Description: A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy of Loughborough University.
URI: https://dspace.lboro.ac.uk/2134/25434
Appears in Collections:PhD Theses (Mechanical, Electrical and Manufacturing Engineering)

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Form-2017-Kelly.pdf507.04 kBAdobe PDFView/Open

 

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