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Compared to the single pipelines, it improved gene coverage, prediction precision, and the overall co-expression of predicted GO processes.
This TPC model uses an empirical one-slope path loss model considering three-dimensional obstacle shadowing effects, to enable accurate yet simple coverage prediction.
Fig. 8 Trajectory 1. Estimation of event positions based on different coverage prediction methods: Coverage prediction (top left), coverage prediction including height and building model (top right) and Voronoi tessellation (bottom left).
The problem under consideration (femtocells coverage prediction) can be thus restricted to the two-dimensional case.
On the other coverage prediction hand is able to take such environmental information into account.
We therefore investigate two methods for determining mentioned characteristics, namely Voronoi diagrams and coverage prediction.
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First, the calibration of the absorbing boundary condition, necessary for proper coverage predictions, is presented.
In total, we computed two coverage predictions for each area of interest.
Here, Voronoi diagrams performed worse compared to the other coverage predictions.
Coverage predictions were made using the UK planning model (UKPM); these showed good agreement with the CPE measurements.
Apart from Voronoi diagrams, we use cell coverage predictions performed using a network planning tool in order to incorporate additional information, e.g., transmitter power or antenna characteristics.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com